Download Curriculum Vitae

1
Curriculum Vitae
Personal Information
Name:
Inés Samengo
Address:
Centro Atómico Bariloche, (8400),
Nationality: Argentine
San Carlos de Bariloche,
Birth date:
14th July, 1970
Río Negro, Argentina
Birth place:
Buenos Aires, Argentina
Tel.:
++ 54 294 4445100 int 5391
Family:
Married, with children
Fax:
++ 54 294 4445299
E-mail:
[email protected]
Web:
http://fisica.cab.cnea.gov.ar/estadistica/ines/
Present position
-
Adjunct Professor, Instituto Balseiro, Universidad Nacional de Cuyo, Argentina.
-
Independent Researcher, Consejo Nacional de Investigaciones Científicas y Técnicas,
Argentina.
University degrees
-
Ms S in physics (1993), Instituto Balseiro, Universidad Nacional de Cuyo, Argentina. Marks:
8.82/10.00
-
Ph D in physics (1998), Instituto Balseiro, Universidad Nacional de Cuyo, Argentina. Marks:
10.0/10.0
Professional affiliation
-
Member of the Society for Neuroscience
-
Member of the Sociedad Argentina de Investigación en Neurociencia.
-
Member of the American Physiological Society.
2
Previous research and teaching positions

In Argentina
1. April 1990 - July 1990: Teaching Assistant in physics, C.R.U.B., Universidad Nacional del
Comahue, Argentina.
2. August 1990 - March 1994: Scholarship fellow of Comisión Nacional de Energía Atómica,
Instituto Balseiro, Argentina.
3. February 1993 - July 1998: Teaching assistant, Instituto Balseiro, Bariloche, Argentina.
4. April 1994 - March 1996: Scholarship fellow of Consejo Nacional de Investigaciones
Científicas y Técnicas, Beca de Iniciación, Argentina.
5. April 1996 - March 1998: Scholarship fellow of Consejo Nacional de Investigaciones
Científicas y Técnicas, Beca de Perfeccionamiento, Argentina.
6. April 1998 - March 1999: Scholarship fellow of Consejo Nacional de Investigaciones
Científicas y Técnicas, Prórroga excepcional de la beca de Perfeccionamiento, Argentina.
7. April 1999 - August 1999: Postdoctoral Fellow of Consejo Nacional de Investigaciones
Científicas y Técnicas, Beca Postdoctoral, Argentina.
8. September 1998 – July 2012: Chief Teaching Assistant, Instituto Balseiro, Universidad
Nacional de Cuyo, Bariloche, Argentina.
9. January - December 2001: Postdoctoral fellow, F.O.M.E.C. and Instituto Balseiro,
Universidad Nacional de Cuyo, Bariloche, Argentina.

Abroad
10. September 1999 - August 2000: Postdoctoral Fellow of the S.I.S.S.A., hired by Alessandro
Treves, within the Human Frontier Science Program, Trieste, Italy.
11. July 2002 - September 2002.Visiting scientist at the S.I.S.S.A., Research Fellowship, Trieste,
Italy.
12. May 2003 - December 2003. Postdoctoral Fellow of the Alexander Von Humboldt
Foundation in the Institute for Theoretical Biology, Berlin, Germany.
3
Teaching experience
1. 1990: Teaching assistant in Physics I, Engineering, C.R.U.B., Universidad Nacional del
Comahue, Argentina, 1 semester.
2. 1993: Teaching assistant, Quantum Mechanics II, Physics, Instituto Balseiro, Bariloche,
Argentina, 128 hours.
3. 1994: Teaching assistant, Quantum Mechanics II, Physics, Instituto Balseiro, Bariloche,
Argentina, 128 hours.
4. 1994: Teaching assistant, Quantum Mechanics I, Physics, Instituto Balseiro, Bariloche,
Argentina, 128 hours.
5. 1995: Teaching assistant, Quantum Mechanics I, Physics, Instituto Balseiro, Bariloche,
Argentina, 128 hours.
6. 1996: Teaching assistant, Quantum Mechanics I, Physics, Instituto Balseiro, Bariloche,
Argentina, 128 hours.
7. 1997: Teaching assistant, Quantum Mechanics I, Physics, Instituto Balseiro, Bariloche,
Argentina, 128 hours.
8. 1998: Chief teaching assistant, Mathematics 1, Physics, Instituto Balseiro, Bariloche,
Argentina, 128 hours.
9. 1999: Chief teaching assistant,Mathematics 2, Physics, InstitutoBalseiro, Bariloche,
Argentina, 128 hours.
10. 2000: Chief teaching assistant,Mathematics 1, Physics, InstitutoBalseiro, Bariloche,
Argentina, 128 hours.
11. 2001: Chief teaching assistant, Mathematics 1, Physics, Instituto Balseiro, Bariloche,
Argentina, 128 hours.
12. 2002: Chief teaching assistant, Mathematics 2, Physics, Instituto Balseiro, Bariloche,
Argentina, 128 hours.
13. 2002: Chief teaching assistant, Neural Networks, Physics, Instituto Balseiro, Bariloche,
Argentina, 128 hours.
4
14. 2004: Chief teaching assistant, Mathematics 2, Physics, Instituto Balseiro, Bariloche,
Argentina, 128 hours.
15. 2004: Chief teaching assistant, Mathematical modelling of biological systems, Physics,
InstitutoBalseiro, Bariloche, Argentina. In charge of the course, 128 hours.
16. 2005: Chief teaching assistant, Information Theory, Physics, Instituto Balseiro, Bariloche
Argentina. In charge of the course, 128 hours.
17. 2005: Chief teaching assistant, Neural Networks, Physics, Instituto Balseiro, Bariloche,
Argentina. In charge of the course, 128 hours.
18. 2006: Chief teaching assistant, Elements of Information Theory, Physics, Instituto Balseiro,
Bariloche, Argentina. In charge of the course, 64 hours.
19. 2006: Chief teaching assistant, Applications of Information Theory, Physics, Instituto
Balseiro, Bariloche, Argentina. In charge of the course, 64 hours.
20. 2007: Chief teaching assistant, Neural Networks, Physics, Instituto Balseiro, Bariloche,
Argentina. In charge of the course, 128 hours.
21. 2008: Chief teaching assistant, Group Theory, Phyhsics, Instituto Balseiro, Bariloche,
Argentina, 64 hours.
22. 2008: Chief teaching assistant, Applications of Group Theory, Phyhsics, Instituto Balseiro,
Bariloche, Argentina, 64 hours.
23. 2009: Chief teaching assistant, Group Theory, Phyhsics, Instituto Balseiro, Bariloche,
Argentina, 64 hours.
24. 2009: Chief teaching assistant, Neural Systems, Physics, Instituto Balseiro, Bariloche,
Argentina. In charge of the course, 128 hours.
25. 2010: Chief teaching assistant, Elements of Information Theory, Physics, Instituto Balseiro,
Bariloche, Argentina. In charge of the course, 64 hours.
26. 2010: Chief teaching assistant, Application of Information Theory, Physics, Instituto Balseiro,
Bariloche, Argentina. In charge of the course, 64 hours.
27. 2011: Chief teaching assistant, Neural Systems, Physics. Instituto Balseiro, Bariloche,
Argentina. In charge of the course, 128 hours.
5
28. 2011: Chief teaching assistant, Mathematics 1, Physics, Instituto Balseiro, Bariloche,
Argentina, 128 hours.
29. 2012: Chief teaching assistant, Elements of Information Theory, Physics, Instituto Balseiro,
Bariloche, Argentina. In charge of the course, 64 hours.
30. 2012. Chief teaching assistant, Applications of Information Theory, Physics, Instituto
Balseiro, Bariloche, Argentina. In charge of the course, 64 hours.
31. 2012. Chief teaching assistant, Experimental Physics IV, Physics, Instituto Balseiro, Argentina,
128 hours.
32. 2013. Adjunct professor, Experimental Physics IV, Physics, Instituto Balseiro, Argentina, 128
hours.
33. 2013.
Adjunct
professor,
Probability
and
Random
Processes,
Engineering
in
Telecommunications, Instituto Balseiro, Argentina, 64 hours.
34. 2013. Adjunct professor, Information Theory, Engineering in Telecommunications, Instituto
Balseiro, Argentina, 128 hours.
35. 2014. Adjunct professor, Experimental Physics IV, Physics, Instituto Balseiro, Argentina, 128
hours.
36. 2014.
Adjunct
professor,
Probability
and
Random
Processes,
Engineering
in
Telecommunications, Instituto Balseiro, Argentina, 64 hours.
37. 2014. Adjunct professor, Information Theory, Engineering in Telecommunications, Instituto
Balseiro, Argentina, 128 hours.
38. 2015. Adjunct professor, Probability and Random Processes, Physics and Engineering in
Telecommunications, Instituto Balseiro, Argentina, 64 hours.
39. 2015.
Adjunct
professor,
Information
Theory,
Physics
and
Engineering
in
Telecommunications, Instituto Balseiro, Argentina, 128 hours.
40. 2016. Adjunct professor, Probability and Random Processes, Physics and Engineering in
Telecommunications, Instituto Balseiro, Argentina, 64 hours.
41. 2016.
Adjunct
professor,
Information
Theory,
Physics
Telecommunications, Instituto Balseiro, Argentina, 128 hours.
and
Engineering
in
6
Thesis Supervision
1. Supervisor of Hugo Gabriel Eyherabide’s MsS Thesis, Physics, Complex Systems. Title: Analysis
of the variability in the activity of auditory neurons. Defended in December 2005.
2. Supervisor of José Luis Favant’s MsS Thesis, Medical Physics, Inst. Balseiro. Title: Extracellular
electrophysiological recordings of neuronal activity. Defended in December 2005.
3. Co-supervisor of Román Rossi Pool, MsS Thesis, Physics, Instituto Balseiro. Modelos de
Aprendizaje en Percepción Visual. Defended in December 2006.
4. Supervisor of Hugo Gabriel Eyherabide’s PhD Thesis in Physics in Instituto Balseiro, and cosupervisor, of his fellowship in CONICET. Defended in February 2011.
5. Supervisor of Aner Lucero’s MsS Thesis, Physics, Inst. Balseiro. Title: Caracterización del
mapeo entrada salida en neuronas individuales. Defended in December 2007.
6. Supervisor of Eugenio Urdapilleta’s PhD Thesis in Physics in Instituto Balseiro, and supervisor
of his fellowship in CONICET. Defended in March 2012.
7. Co-supervisor of Román Rossi Pool’s PhD Thesis in Physics in Instituto Balseiro, and supervisor
of his fellowship in CONICET. Defended in March 2012.
8. Co-supervisor of Pablo Naim’s PhD Thesis in Biology, Universidad Nacional del Comahue,
Bariloche, Argentina, and of his fellowship in CONICET. Discontinued in January 2011.
9. Supervisor of Yudy Carolina Daza Caro’s MsS Thesis in Physics in Insitituto Balseiro.
Codificación neuronal en sistemas sensoriales. Defended in December 2010.
10. Supervisor of Rodrigo Echeveste’s MsS Thesis in Physics in Insituto Balseiro, orientation
Complex Systems. Percepción sensorial en niños autistas. Defended in December 2011.
11. Supervisor of María Da Fonseca’s MsS Thesis in Physics Insituto Balseiro, orientation
Complex Systems. Percepción cromática y categorización sensorial. Defended in December
2012.
12. Since April 2012: Supervisor of Soledad Gonzalo Cogno’s PHD Thesis in Physics, Instituto
Balseiro. Dynamic and computational properties of bursting neurons. In progress.
13. Since April 2013: Supervisor of María da Fonseca’s PHD Thesis in Physics, Instituto Balseiro.
Chromatic categorization in visual perception. In progress.
7
14. Since April 2014: Supervisor of Melisa Beatriz Maidana Capitán’s PHD Thesis in Physics, Inst.
Balseiro. Analysis of coherence in hippocampal electrophysiological signals. In progress.
Science communication
1. October 2009, and October 2014: Organizer of the 4-weeks School J. A. Balseiro “Modeling in
Neuroscience”, together with Germán Mato and Marcela Nadal. The school was directed to
24 master or PhD students of neuroscience projects, interested in acquiring modeling
expertise.
2. 2007-2012: In charge of the organisation of 1-week advanced courses directed to high-school
teachers. The courses take place in Instituto Balseiro, and are focused in specific topics, that
change every year. The activities contain a strong emphasis in practical and experimental
techniques. Every year, 25-30 teachers of several disciplines (physics, mathematics,
chemistry and/or biology) are selected.
3. Since 2012: Frequent speaker in high-schools of San Carlos de Bariloche, teaching about the
psychopharmacology and long-term consequences of the consumption of abused
psychoactive substances.
4. Since 2014: Organizer of the Brain Awareness Week in Bariloche, with a series of talks and an
interactive exhibition for the general public, and high-school students. http://www.ib.edu.ar/
index.php/extension/extension-para-todo-publico/533.html
Area of research
I develop theoretical methods in the framework of covariance analysis and information theory to
characterize the neural codes employed by the brain. The aim is to quantify the amount and type of
the information conveyed by spiking neurons, typically (though not exclusively) in sensory areas. I
also study the dynamical properties of single neurons, characterizing how the neural code depends
on intrinsic properties. I model these neurons using tools of dynamical systems and stochastic
processes.
8
I have participated in several experimental projects, making data analysis of recordings done by
other people, including the rodent hippocampus, the primate visual system, and the insect auditory
system. I am currently starting a new line studying the computational processes involved in human
vision. To that aim, computer games are designed and developed, to test and analyse the chromatic
discrimination abilities of players, as well as their chromatic memory.
Publications
In refereed international journals
1. Angular normalization of the electron transfer to the continuum peak; R.G. Pregliasco, I.
Samengo and R.O. Barrachina; Nuclear Physics and Methods B 86 390-393 (1994)
2. Rainbow and Glory Scattering in Coulomb Trajectories Starting from One Point in Space; I.
Samengo and R. O. Barrachina; European Journal of Physics 15 300-308 (1994)
3. Rainbow and Glory effects in the autoionization of atoms excited by the impact of heavy ions;
I. Samengo and R. O. Barrachina; Journal of Physics B 29 4179 - 4191 (1996)
4. An alternative classical approach to the quantum-mechanical definition of the scattering
cross section; J. Fiol, R. G. Pregliasco, I. Samengo and R. O. Barrachina; American Journal of
Physics 65 (2) 343 - 347 (1996)
5. Classical momentum distributions of Rydberg states; Inés Samengo, Physical Review A 58 (5)
2767 - 2776 (1998)
6. The semiclassical limit of the scattering Coulomb wave function, Inés Samengo, Physical
Review A 58 (6) 5001 - 5004 (1998)
7. Classical stationary particle distributions in collision processes I. Samengo, R. G. Pregliasco y
R. O. Barrachina. Journal of Physics B 32 1971 - 1986 (1999)
8. Competing Neural Networks: finding a strategy for the game of matching pennies I. Samengo
and D. Zanette, Physical Review E 62 (3) 4049 - 4056 (2000) - http://arXiv.org/abs/condmat/0002335
9. Representational capacity of a set of independent neurons, Inés Samengo and Alessandro
Treves, Physical Review E 63 (1) 11910 (14 pages) (2001) –
9
http://arXiv.org/abs/condmat/0201588
10. Independent neurons representing a finite set of stimuli: dependence of the mutual
information on the number of units sampled, Inés Samengo, Network: Computation in
Neural Systems, 12 (1) 21 - 31 (2001) - http://arXiv.org/abs/cond-mat/0202023
11. Measuring information spatial densities, Michele Bezzi, Inés Samengo, Stefan Leutgeb and
Sheri Mizumori, Neural Computation 14 (2) 405-420 (2002) – http://arXiv.org/abs/condmat
/0111150
12. The information loss in an optimal maximum likelihood decoding, Inés Samengo, Neural
Computation 14 771 - 779 (2002) - http: //arXiv.org/abs/physics/0110074
13. Estimating probabilities from experimental frequencies, Inés Samengo, Physical Review E 65,
046124, 10 pages, (2002) - http://arXiv.org/abs/cond-mat/0201516
14. Standing on the gateway to memory. Shouldn't we step in?, Alessandro Treves and Inés
Samengo,Cognitive Neuropsychology, 19 (6) 557-575 (2002) –
http://fisica.cab.cnea.gov.ar/estadistica/ines/pub.html
15. Macaque area V4 neurons translate the attended features of a visual stimulus into
behaviorally relevant categories.G Mirabella, I Samengo, G Bertini, BE Kilavik, D Frilli, A
Fanini, L Chelazzi L. Journal of Vision 3 (9) 38 (2003).
16. A Subjective Distance Between Stimuli: Quantifying the Metric Structure of Representations.
DamiánOliva, Inés Samengo, Stefan Leutgeb and Sheri J. Mizumori. Neural Computation, vol:
17: 969 – 990 (2005) - http://arxiv.org/abs/q-bio.NC/0408008
17. Dynamics of learning in coupled oscillators tutored with delayed reinforcements, M.
Trevisan, S. Bouzat, I. Samengo and G. Mindlin, Physical Review E 72, 011907, 1-7, (2005) http://arxiv.org/abs/q-bio.NC/0505012. This article was selected by the Virtual Journal of
Biological Physics Research, appearing on 15thJuly, 2005, Volume 10, Issue 2.
18. The Effect of Stimulus Statistics on the Information Transmission of Acoustic Signals in Insect
Auditory Receptor Neurons, Ariel Rokem, Sebastian Watzl, Tim Gollisch, Martin Stemmler,
Andreas V. M. Herz and Inés Samengo. Journal of Neurophysiology, 95 (4) 2541-2552 (2006)
http://fisica.cab.cnea.gov.ar/estadistica/ines/grasshoppers/full.pdf
10
19. Neurons in area V4 of the macaque translate attended visual features into behaviorally
relevant categories, Giovanni Mirabella, Inés Samengo, Giuseppe Bertini, Bjorg Kilavik,
Deborah Frilli, Alessandra Fanini, and Leonardo Chelazzi. Neuron54 (2) 303-318 (2007)
http://fisica.cab.cnea.gov.ar/estadistica/ines/neuron2007.pdf. This article was accompanied
by a featured commentary in the same issue: Representation of Response Categories in
Visual Cortex, by RufinVogels, 54 (2): 181-183 (2007)
20. Burst firing is a neural code in an insect auditory system. Hugo G. Eyherabide, Ariel Rokem,
Andreas VM Herz and Inés Samengo. Frontiers in Computational Neuroscience, 2:3.
doi:10.3389/neuro.10.003.2008 (2008)
http://www.frontiersin.org/computationalneuroscience/paper/10.3389/neuro.10/003.2008/
21. Type I and type II neuron models are selectively driven by differential stimulus features.
Germán Mato and Inés Samengo. Neural Computation 20: 2418-2440 (2008). http://arxiv.
org/abs/0801.3963
22. Two distinct mechanisms shape the reliability of neural responses. Susanne Schreiber, Inés
Samengo and Andreas V. M. Herz. Journal of Neurophysiology 101: 2239-2251, (2009).
http://fisica.cab.cnea.gov.ar/estadistica/ines/schreiber_samengo_herz_JNeurophysiol_2009.
pdf
23. Bursts generate a non-reducible spike-pattern code. Hugo G. Eyherabide, Ariel Rokem,
Andreas V. M. Herz and Inés Samengo. Frontiers in Neuroscience, 3 (1): 8-14 (2009). doi:
10.3389/neuro.01.002.2009
-
http://www.frontiersin.org/neuroscience/paper/10.3389/
neuro.01/ 002.2009/pdf/
24. Quasistatic approximation of the interspike interval distribution of neurons driven by timedependent input. Eugenio Urdapilleta and Inés Samengo. Physical Review E 80, 011915
(2009). This article was selected by the Virtual Journal of Biological Physics Research,
appearing on 1st August 2009. http://arxiv.org/abs/0906.2171
25. The firing statistics of Poisson neuron models driven by slow stimuli. Eugenio Urdapilleta and
Inés Samengo. Biological Cybernetics 101 (4): 265-277(2009) - http://arxiv.org/abs/0909.
1563
11
26. The information transmitted by spike patterns in single neurons. Hugo G. Eyherabide and
Inés Samengo. Journal of Physiology (Paris) Journal of Physiology (Paris) 104: 147-155
(2010)doi:10.1016/j.jphysparis.2009.11.018 - http://arxiv.org/abs/0912.2288
27. Conversion of Phase Information into a Spike-Count Code by Bursting Neurons. Inés Samengo
and Marcelo Montemurro. PLoS ONE 5(3): e9669. doi:10.1371/journal.pone.0009669 (2010).
http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0009669
28. Time and category information in pattern-based codes. Hugo G. Eyherabide and Inés
Samengo. Frontiers in Computational Neuroscience 4:145. doi: 10.3389/fncom.2010.00145
(2010).http://www.frontiersin.org/computational_neuroscience/10.3389/fncom.2010.00145
/abstract
29. Spike-triggered covariance: Geometric proof, symmetry properties, and extensionbeyond
Gaussian stimuli. Inés Samengo and Tim Gollisch. Journal of Computational Neuroscience34
(1): 137-161, DOI: 10.1007/s10827-012-0411-y (2013). http://rd.springer.com/content/pdf
/10.1007%2Fs10827-012-0411-y
30. Linking dynamical and functional properties of intrinsically bursting neurons. Inés Samengo,
GermánMato, Daniel Elijah, Susanne Schreiber and Marcelo A. Montemurro. Journal of
Computational Neuroscience 35 (2): 213-230 - DOI: 10.1007/s10827-013-0449-5 (2013).
http://link.springer.com/content/pdf/10.1007%2Fs10827-013-0449-5.pdf
31. When and why noise correlations are important in neural decoding. Hugo Gabriel Eyherabide
and Inés Samengo. Journal of Neuroscience 33 (45): 17921–17936 (2013). http://www.
jneurosci.org/content/33/45/17921.abstract?related-urls=yes&legid=jneuro;33/ 45/17921
32. Dynamics and reliability of bistable neurons driven with time-dependent stimuli. Soledad
Gonzalo Cogno, Susanne Schreiber and Inés Samengo. Neural Computation 26 (12) 27982826(2014).http://fisica.cab.cnea.gov.ar/estadistica/ines/Gonzalo_Schreiber_Samengo.pdf
33. Effects of spike-triggered negative feedback on receptive-field properties. Eugenio
Urdapilleta and Inés Samengo. Journal of Computational Neuroscience 38 (2) pp 405 - 425
(2014) http://link.springer.com/article/10.1007%2Fs10827-014-0546-0
34. Information-theoretical analysis of the statistical dependencies between three variables:
Applications to written language. Damián G. Hernández, Damián H. Zanette and Inés
12
Samengo. Physical Review E 92 (2) pp 022813 (2015). http://fisica.cab.cnea.gov.ar
/estadistica/ines/Hernandez_Zanette_Samengo_PRE_2015.pdf
35. Thalamic neurons encode stimulus information by burst-size modulation. Daniel Elijah, Inés
Samengo and Marcelo Montemurro. Frontiers in Computational Neuroscience 9 pp 113
DOI:10.3389/fncom.2015.00113
(2015).
http://journal.frontiersin.org/article/10.3389/
fncom.2015.00113/ abstract
36. Derivation of Human Chromatic Discrimination Ability from an Information-Theoretical
Notion of Distance in Color Space. María da Fonseca and Inés Samengo. Neural Computation
doi:10.1162/NECO_a_00903, pp 1-18 (2016). http://fisica.cab.cnea.gov.ar/estadistica/ines/
daFonseca_samengo_2016.pdf
37. Bursting neurons in the hippocampal formation encode features of LFP rhythms. Maria
Constantinou, Soledad Gonzalo Cogno, Daniel H. Elijah, Emilio Kropff, John Gigg, Inés
Samengo, Marcelo A. Montemurro. Frontiers in Computational Neuroscience
DOI:
10.3389/fncom.2016.00133, pp 1-40 (2016). http://journal.frontiersin.org/article/10.3389/
fncom.2016.00133/abstract
In conference proceedings published as full papers
38. Comparación entre descripciones clásica, semiclásica y cuántica de un proceso de ionización
inducido por colisión, Inés Samengo and R. O. Barrachina, 78 A.F.A., Buenos Aires, Argentina,
1993.
39. Estados coulombianos del continuo, Inés Samengo and R. O. Barrachina, 80 A.F.A, 1995.
40. Nearside-Farside Interference in Autoionization Processes, I. Samengo y R. O. Barrachina,
Proc. International Course on Advances and Methods in the Study of Atomic Doubly Excited
States, 1995.
41. Neural dynamics in the presence of noisy inputs. Soledad Gonzalo Cogno and Inés Samengo.
Actas del III Congreso de Matemática Aplicada, Computacional e Industrial (MACI), 29-31,
2011.
42. Dynamical and Coding properties of Single Neurons. Carolina Daza and Inés Samengo. Actas
del III Congreso de Matemática Aplicada, Computacional e Industrial (MACI), 25-27, 2011.
13

In book chapters
43. Statistical description of associative memory, Inés Samengo, in Modern Challenges in
Statistical Mechanics, edited by V.M. Kenkre and Katja Lindenberg, Melville, New York, 2003.
44. Spike-train Analysis, Inés Samengo, Daniel Elijah, Marcelo Montemurro, in Principles of
Neural coding, edited by Stefano Panzeri and Rodrigo Quian Quiroga, CRC Press, 2013, pp.
75-96.
45. Effect of input noise on neuronal firing rate. Soledad Gonzalo Cogno and Inés Samengo. In
Physics, Computation and the mind: Advances and challenges at interfaces. AIP Conference
Proceedings 1510, edited by Garrido, P. L.; Marro, J.; Torres, J. J.; Cortés, J. M., pp. 247-250,
2013.

Teaching Notes at Instituto Balseiro
46. “Quantum Gym: Problemas en Mecánica Cuántica II”, R. G. Pregliasco, I. Samengo, C. Denton,
J. Gervasoni, R. O. Barrachina, 60 pages.
Presentations to conferences, published as an abstract
1. 77a Reunión de la Asociación Física Argentina, “Efectos Postcolisionales de Gloria y Arco Iris en
procesos de autoionización inducidos por colisión”, Inés Samengo and R. O. Barrachina, Buenos
Aires, Argentina, 1992.
2. 18a International Conference on the Physics of Electronic and Atomic Collisions, “Rainbow and
Glory Effects in Autoionization Processes in ion-atom collisions”, Inés Samengo and R. O.
Barrachina, Aahrus, Denmark, 1993.
3. 78a Reunión de la Asociación Física Argentina, “Comparación entre descripciones clásica,
semiclásica y cuántica de un proceso de autoionización inducido por colisión”, Inés Samengo
and R. O. Barrachina, Rosario, Argentina, 1993.
4. Reunión para la enseñanza de las Ciencias y la Tecnología, “El Arco Iris”, Inés Samengo and R. O.
Barrachina, Buenos Aires, Argentina, 1994.
14
5. 79a Reunión de la Asociación Física Argentina, “Separación en contribuciones cercana y lejana
de la amplitud de dispersión elástica”, Inés Samengo and R. O. Barrachina, Córdoba, Argentina,
1994.
6. International Course on Advances and Methods in the Study of Atomic Doubly Excited States,
“Nearside-Farside Interference in Autoionization Processes”, Inés Samengo and R. O.
Barrachina, Medellín, Colombia, 1995.
7. Reunión nacional sobre estructura electrónica y teoría de colisiones, “Mecanismos de
interferencia en procesos de autoionización inducidos por colisión”, Inés Samengo and R. O.
Barrachina, IAFE, Buenos Aires, Argentina, 1995.
8. 80 Reunión de la Asociación Física Argentina, “Estados coulombianos del continuo”, Inés
Samengo and R. O. Barrachina, Bariloche, Argentina, 1995.
9. 81 Reunión de la Asociación Física Argentina, “Alternativa clásica a la definición de la sección
eficaz cuántica”, J. Fiol, R. G. Pregliasco, Inés Samengo and R. O. Barrachina, Tandil, Argentina,
1996.
10. Joint-us Latin American seminar on atomic collisions, “Classical and semi-classical descriptions
of the continuum Coulomb wave function”, Inés Samengo and R. O. Barrachina, Rosario,
Argentina, 1997.
11. 20a International Conference on the Physics of Electronic and Atomic Collisions, “NearsideFarside interference in autoionization processes induced by ion-atom collisions”, Inés Samengo
and R. O. Barrachina,1997.
12. 20a International Conference on the Physics of Electronic and Atomic Collisions, “On the
classical momentum (n, l, m) distributions”, Inés Samengo, 1997.
13. 83 Reunión de la Asociación Física Argentina, “Distribuciones clásicas de los estados de
Rydberg”, La Plata, Argentina 1998.
14. 19th Werner Brandt Workshop, “Classical stationary particle distributions in collision
processes”, Inés Samengo, R. O. Barrachina and R. G. Pregliasco, S. C. de Bariloche, Argentina,
1999.
15. 19th Werner Brandt Workshop, “Classical Rydberg momentum distributions”, Inés Samengo, S.
C. de Bariloche, Argentina, 1999.
15
16. TheNature of Hippocampal-Cortical Interaction: Theoretical and Experimental Perspectives,
“Quantifying the information content of different representation schemes”, Inés Samengo and
Alessandro Treves, Dublin, Ireland, 2000.
17. Computational Neuroscience 2000, “The representational capacity of N independent neurons”,
Inés Samengo y Alessandro Treves, Brujas, Bélgica, Julio 2000.
18. ESF Summer Symposium On Neural Computation and Neuroinformatics: Principles of
information coding and processing in the brain, “The representational capacitiy of N
independent neurons”, Inés Samengo y Alessandro Treves, Trieste, Italia, Septiembre 2000.
19. Neuroscience Annual Meeting, 2000, “Representational capacity of a set of independent
neurons”, Inés Samengo and Alessandro Treves, New Orleans, USA, November 2000.
20. Neuroscience Annual Meeting, 2001, “Neural information loss in a maximum likelihood
decoding”, Inés Samengo, San Diego, USA, November 2001.
21. 53 CongressodellaSocietaItaliana di Fisiologia, “Computational approaches to the role of
hippocampal subfields: CA3 & DG”, Alessandro Treves and Inés Samengo, Ferrara, Italy,
September, 2002.
22. 53 CongressodellaSocietaItaliana di Fisiologia, “Computational approaches to the role of
hippocampal subfields: CA3 & CA1”, Inés Samengo, Julie Goulet, Kit Longden and Alessandro
Treves, Ferrara, Italy, September, 2002.
23. Neuroscience 2002, “Different strategies for encoding position in hippocampal and lateral
septal cells”, Michele Bezzi, Inés Samengo, Stefan Leutgeb and Sheri Mizumori, Orlando, United
States of America, November 2002.
24. Mirabella G, Samengo I, Bertini G, Kilavik BE, Frilli D, Fanini A, Chelazzi L “Macaque area V4
neurons translate the attended features of a visual stimulus into behaviorally relevant
categories” Journal of Vision 3(9): 38a http://journalofvision.org/3/9/38/ (2003)
25. Sensory Coding and the Natural Environment, “The Effect of Stimulus Statistics on the
Information Transmission of Acoustic Signals in Insect Auditory Receptor Neurons”, Inés
Samengo, Ariel Rokem, Sebastian Watzl, Tim Gollisch, Martin Stemmler and Andreas Herz,
Oxford, United Kingdom, September 2004.
16
26. Neuroscience 2004, “Mechanisms for visual selective attention to elemental object features in
primate area V4”, G. Mirabella, I. Samengo, G. Bertini4, B.E. Kilavik1, A. Fanini and L. Chelazzi1,
San Diego, United States of America, November 2004.
27. Neuroscience 2004, “Categorization of attended stimulus features by neurons in early visual
cortical areas of the macaque”, B.E.Kilavik, G.Mirabella, G.Bertini1, I.Samengo, A.E.Ipata and
L.Chelazzi, San Diego, United States of America, November 2004.
28. 6th Meeting of the German Neuroscience Society and 30 thGöttingen Neurobiology
Conference,“Frequency dependence of spike timing reliability: lessons from conductance-based
modelling”. Susanne Schreiber, Inés Samengo and Andreas VM Herz, Göttingen, Germany,
February 2005.
29. III Taller regional de física estadística y aplicaciones a la materia condensada, “Estudio de la
variabilidad en la actividad de neuronas auditivas”, Hugo Gabriel Eyherabide and Inés Samengo,
La Plata, Argentina, June 2005.
30. 90º Reunión Nacional de Física, “Estudio de la variabilidad en la actividad de neuronas
auditivas” Hugo Gabriel Eyherabide and Inés Samengo, La Plata, Argentina, September 2005.
31. IX Latin American Workshop on Nonlinear Phenomena, “Analysis of the variability of the
response of auditory neurons”. Hugo Gabriel Eyherabide and Inés Samengo, San Carlos de
Bariloche, Argentina, October 2005.
32. Jornadas de física Bariloche 2005, “Símbolos en el código neuronal y su influencia en la tasa de
información mutua”, Hugo Gabriel Eyherabide and Inés Samengo, San Carlos de Bariloche,
Argentina, December 2005.
33. Taller de Neurociencias, “Utilización de Arreglos de Microelectrodos para la excitación y
medición de actividad eléctrica en neuronas cultivadas in vitro”. Román Rossi Pool, Eugenio
Urdapilleta, Mariela Bellotti, Fabián Bonetto and Inés Samengo, Huerta Grande, Córdoba,
Argentina, April 2006.
34. Taller de Neurociencias, “Variabilidad en la respuesta de neuronas sensoriales: ¿de dónde
proviene?” Eugenio Urdapilleta, JanBenda, Inés Samengo. Huerta Grande, Córdoba, Argentina,
April 2006.
17
35. 91º Reunión Nacional de Física, “Modelos de aprendizaje en percepción visual”, Román Rossi
Pool, Inés Samengo and Germán Mato, San Luis, Argentina, September 2006.
36. 91º Reunión Nacional de Física, “Efectos de las propiedades intrínsecas de la dinámica neuronal
sobre los estímulos preferenciales”, Eugenio Urdapilleta, Inés Samengo and Germán Mato, San
Luis, Argentina, September 2006.
37. Bernstein Center for Computational Neuroscience 2006, “Information transmission in Burst
spiking”, Inés Samengo and Hugo Gabriel Eyherabide, Berlin, Germany, October 2006.
38. IX Taller de Neurociencias, “Aproximación cuasi-estática para neuronas estocásticas conducidas
por corrientes variables”, E. Urdapilleta, J. Benda and I Samengo. Huerta Grande, Córdoba,
Argentina, April 2007.
39. Segunda Escuela Argentina de Matemática y Biología, 2007.“Introducción al modelado de la
dinámica neuronal”. Inés Samengo. La Falda, Córdoba, June, 2007.
40. Neural Coding 2007. “Burst firing is a neural code in an insect auditory system”. Inés Samengo
and Hugo G. Eyherabide. Montevideo, Uruguay, November, 2007.
41. Neural Coding 2007. “The effect of stimulus history on firing statistics: Insights from a Quasistatic Approach”. Eugenio Urdapilleta, Jan Benda and Inés Samengo. Montevideo, Uruguay,
November, 2007.
42. Neural Coding 2007. “Homeostatic Plasticity in Visual Perception Models with Veían Learning”.
Román Rossi Pool, Inés Samengo and GermánMato. Montevideo, Uruguay, November 2007.
43. X Taller de Neurociencias, 2008. “Caracterización de la información transmitida por neuronas
individuales” Inés Samengo. Huerta Grande, Córdoba, Argentina, April 2008.
44. X Taller de Neurociencias, 2008. “Adaptación de la respuesta neuronal en entornos ruidosos”.
Eugenio Urdapilleta, JanBenda e Inés Samengo. Huerta Grande, Córdoba, Argentina, April 2008.
45. 1st Tutzing Meeting on Insect Hearing, “Burst firing is a neural code in grasshopper auditory
receptors”, Hugo Gabriel Eyherabide and Inés Samengo. Tutzing, Germany, September 2008.
46. 1st Tutzing Meeting on Insect Hearing, “Categorical and temporal information transmitted by
spike patterns in single neurons”, Inés Samengo and Hugo Gabriel Eyherabide. Tutzing,
Germany, September 2008.
18
47. 1st Tutzing Meeting on Insect Hearing, “Characterizing the noise sources inducing trial-to-trial
variability in grasshopper auditory receptors”, Eugenio Urdapilleta, Jan Benda and Inés
Samengo. Tutzing, Germany, September 2008.
48. XI Taller de Neurociencias, 2009. Current-dependent noise sources in adapting auditory
neurons. Eugenio Urdapilleta, JanBenda, Inés Samengo. Huerta Grande, Córdoba, Argentina.
49. XI Taller de Neurociencias, 2009. Response of Poisson neural models driven by slow stimuli.
Eugenio Urdapilleta, Inés Samengo. Huerta Grande, Córdoba, Argentina.
50. XI Taller de Neurociencias, 2009. The effect of adaptation on the neural code. Eugenio
Urdapilleta, Inés Samengo. Huerta Grande, Córdoba, Argentina.
51. 18th Annual Computational Neuroscience Meeting, July 2009. Bursting neurons encode the
time-dependent phase of the input signals. Marcelo Montemurro, Inés Samengo. Berlin,
Germany.
52. III Encuentro de divulgación científica Hospital Zonal Bariloche, Octubre 2009. “Procesamiento
visual en primates”. Inés Samengo, Bariloche, Argentina.
53. II Reunión Conjunta de Neurociencias, October 2010. “Synergy and redundancy in patternbased codes”. Hugo G. Eyherabide and Inés Samengo. Huerta Grande, Argentina.
54. II Reunión Conjunta de Neurociencias, October 2010. “The neural code of sensory neurons in
leech”. Soledad Gonzalo Cogno, Pablo Naim, Inés Samengo, Yimy Amarillo and Marcela Nadal.
Huerta Grande, Argentina.
55. II Reunión Conjunta de Neurociencias, October 2010. “The role of intrinsic conductances in the
neural code”. Yudy Carolina Daza and Inés Samengo. Huerta Grande, Argentina.
56. Taller Regional de Física Estadística y Aplicaciones a la Materia Condensada (TREFEMAC), May
2011. “Modelos neuronales en presencia de ruido: el efecto sobre la frecuencia de disparo”.
Soledad Gonzalo Cogno and Inés Samengo. Villa de Merlo, Argentina.
57. Taller Regional de Física Estadística y Aplicaciones a la Materia Condensada (TREFEMAC), May
2011. “Dinámica Neuronal y sus consecuencias computacionales”. Carolina Daza and Inés
Samengo. Villa de Merlo,Argentina.
19
58. III Congreso de Matemática Aplicada, Computacional e Industrial (MACI), May 2011. “Neural
dynamics in the presence of noisy inputs”. Soledad Gonzalo Cogno and Inés Samengo. Bahía
Blanca, Argentina.
59. III Congreso de Matemática Aplicada, Computacional e Industrial (MACI), May 2011. “Dynamical
and Coding properties of Single Neurons”. Carolina Daza and Inés Samengo. Bahía Blanca,
Argentina.
60. II Reunión Conjunta SUF-AFA, September 2011. “The role of intrinsic conductances in the neural
code”. Carolina Daza and Inés Samengo. Montevideo, Uruguay.
61. II Reunión Conjunta SUF-AFA, September 2011. “Categorización de estímulos sensoriales en
niños autistas”. Rodrigo Echeveste and Inés Samengo. Montevideo, Uruguay.
62. III Reunión Conjunta de Neurociencias, October 2011. “Neuronal oscillations driven by noisy
input currents”. Carolina Daza and Inés Samengo. Huerta Grande, Córdoba.
63. III Reunión Conjunta de Neurociencias, October 2011. “Estimating the mean firing rate of linearnonlinear neuron models”. Soledad Gonzalo Cogno and Inés Samengo. Huerta Grande, Córdoba.
64. III Reunión Conjunta de Neurociencias, October 2011. “Categorization of sensory stimuli in
autistic children”. Rodrigo Echeveste and Inés Samengo. Huerta Grande, Córdoba.
65. Neural Coding 2012, September 2012, “Spike-triggered covariance revisited”, Inés Samengo and
Tim Gollisch, Prague, Czech Republic.
66. 97º Reunión Nacional de la Asociación Física Argentina, September 2012, “Estrategias de
Memoria Visual en Sujetos con Diagnóstico del Espectro Autista”, Melisa Maidana Capitán,
Rodrigo Echeveste, Inés Samengo, Villa Carlos Paz, Argentina.
67. IV Reunión Conjunta de Neurociencias, October 2012, “Percepción cromática y categorización
sensorial”. María da Fonseca and Inés Samengo. Huerta Grande, Córdoba.
68. Neuroscience 2012, October 2012, “Coding properties of intrinsically bursting neurons are
determined by their bifurcation structure”. Germán Mato, Inés Samengo, Daniel Elijah,
SusanneSchreiber, Marcelo Montemurro. New Orleans, USA.
69. Taller Regional de Física Estadística y Aplicaciones a la Materia Condensada (TREFEMAC), May
2013. “Frecuencia media de disparo de neuronas activadas por estímulos ruidosos”. Soledad
Gonzalo Cogno and Inés Samengo. La Plata,Argentina.
20
70. Taller Regional de Física Estadística y Aplicaciones a la Materia Condensada (TREFEMAC), May
2013. “Percepción cromática y categorización sensorial”. María da Fonseca and Inés Samengo.
La Plata, Argentina.
71. Taller Regional de Física Estadística y Aplicaciones a la Materia Condensada (TREFEMAC), May
2013. “Estrategias de memoria visual en sujetos con diagnóstico del espectro autista”. Melisa
Maidana Capitán, Rodrigo Echeveste and Inés Samengo. La Plata, Argentina.
72. 98° Reunión Anual de la Asociación Física Argentina, September 2013. “Medición de la métrica
de la percepción cromática utilizando juegos de computadora”. Federico Clavero, María da
Fonseca and Inés Samengo. Bariloche, Argentina.
73. 98° Reunión Anual de la Asociación Física Argentina, September 2013. “Análisis estadístico del
acoplamiento rítmico entre los disparos de las neuronas de las áreas temporales y sus
correspondientes potenciales de campo”. Soledad Gonzalo Cogno, Emilio Kropff and Inés
Samengo. Bariloche, Argentina.
74. 28° Congreso de la Sociedad Argentina de Investigación en Neurociencia, October 2013. “Visual
memory strategies employed by children of the autistic spectrum.”Melisa Maidana Capitán,
Rodrigo Echeveste and Inés Samengo. Huerta Grande, Argentina.
75. 28° Congreso de la Sociedad Argentina de Investigación en Neurociencia, October 2013.
“Photoreceptor absorption curves account for human chromatic discrimination ability”, María
da Fonseca and Inés Samengo. Huerta Grande, Argentina.
76. 28° Congreso de la Sociedad Argentina de Investigación en Neurociencia, October 2013. “Phaselocking between individual spikes and the local field potential of hippocampal and entorhinal
areas in behaving rats”. Soledad Gonzalo Cogno, Emilio Kropff and Inés Samengo. Huerta
Grande, Argentina.
77. 13° Latin American Workshop of Non-Linear Phenomena, October 2013. “Photoreceptor
absorption curves account for human chromatic discrimination ability”, María da Fonseca and
Inés Samengo. Córdoba, Argentina.
78. OCCAM 2014, May 2014. “Photorreceptor absorption curves account for human chromatic
discrimination ability”. María da Fonseca and Inés Samengo. Osnabrück, Germany.
21
79. Winter School in Quantitative Biology Systems, December 2014. “Encoding multiple kinematic
features in the temporal lobe”. Melisa Maidana Capitán, Soledad Gonzalo Cogno, Emilio Kropff,
Marcelo Montemurro, Inés Samengo. Trieste, Italia.
80. 99º Reunión de la Asociación Física Argentina, September 2014. “Transferencia de entropía
entre señales con memoria”. Melisa Maidana Capitán, María da Fonseca, Soledad Gonzalo
Cogno, Marcelo Montemurro, Inés Samengo. Tandil, Argentina.
81. V Congreso Argentino de Bioinformática y Biología Computational, September 2014.
“Photoreceptor Absorption Curves Account for Human Chromatic Discrimination Ability”. María
da Fonseca, Inés Samengo. Bariloche, Argentina.
82. V Congreso Argentino de Bioinformática y Biología Computational, September 2014.“Encoding
the state of motion by the hippocampal region.” Soledad Gonzalo Cogno, Emilio Kropff,
Marcelo Montemurro, Inés Samengo. Bariloche, Argentina.
83. NeuroCog: Primer Encuentro de Neurociencia Cognitiva, May 2015. “Veo, veo, ¿de qué color?”.
María da Fonseca, Inés Samengo. Buenos Aires, Argentina.
84. 1st International Conference in Mathematical Neuroscience, June 2015. “Photoreceptor
absorption properties account for human chromatic discrimination ability”. Inés Samengo,
María da Fonseca. Cannes, France.
85. 100º Reunión de la asociación física argentina, September 2015. “Código neuronal en regiones
del cerebro vinculadas a la navegación espacial.” Melisa Maidana Capitán, Emilio Kropff, Inés
Samengo. Villa de Merlo, San Luis, Argentina.
86. Forum of Neuroscience of the Federation of European Neuroscience Societies (FENS), July 2016.
“State of motion is represented in the local field potentials of the Hippocampus and the
Entorhinal Cortex”. Soledad Gonzalo Cogno, Emilio Kropff, Marcelo Montemurro, Germán
Mato, Inés Samengo. Copenhagen, Dinamarca.
87. Taller Regional de Física Estadística y Aplicaciones a la Materia Condensada (TREFEMAC), May
2016. “El estado de movimiento se representa en los potenciales de campo del hipocampo y de
la corteza entorrinal”. Soledad Gonzalo Cogno, Emilio Kropff, Germán Mato, Inés Samengo.
Bariloche, Argentina.
22
88. Taller Regional de Física Estadística y Aplicaciones a la Materia Condensada (TREFEMAC), May
2016. “Neuronas de la región hipocampal codifican rasgos de los potenciales de campo locales.”
Soledad Gonzalo Cogno, Maria Constantinou, Emilio Kropff, John Gigg, Marcelo Montemurro,
Inés Samengo. Bariloche, Argentina.
89. Taller Regional de Física Estadística y Aplicaciones a la Materia Condensada (TREFEMAC), May
2016. “Código neuronal en navegación espacial”. Melisa Maidana Capitán, Emilio Kropff, Inés
Samengo. Bariloche, Argentina.
90. Taller Regional de Física Estadística y Aplicaciones a la Materia Condensada (TREFEMAC), May
2016. “Propuesta de un espacio cromático con una métrica perceptualmente uniforme”. María
da Fonseca, Inés Samengo. Bariloche, Argentina.
Invited talks
1. Institut fur Kernphysik der Johann Wolfgang Goethe Universitat, Frankfurt am Main,
Germany,“Classical Rydberg momentum distributions”, June 1996.
2. Mahn-Meitner Institut, Berlin, Germany, “The semiclassical limit of the continuum Coulomb
wavefunction”, June 1996.
3. Institute of Physics and Astronomy, Aarhus, Denmark, “Classical Rydberg Momentum
Distributions”, June 1997.
4. Instituto de Neurología M. M. Ferreyra, Córdoba, Argentina, “Redes Neuronales en el
almacenamiento y evocación de memorias”, July 1999.
5. Simposio del lóbulo occipital, Buenos Aires, Argentina,“Nuevos modelos de redes neuronales y
visopercepción”,12th October, 2000.
6. 53 Congresso della Societa Italiana di Fisiologia, Ferrara, Italy, ”Computational approaches to
the role of hippocampal subfields: CA3 & DG “, 17th September, 2002.
7. 53 CongressodellaSocietaItaliana di Fisiologia, Ferrara, Italy, ”Computational approaches to the
role of hippocampal subfields: CA3 & CA1”,17th September, 2002.
23
8. Gatsby Computational Neuroscience Unit, London, United Kingdom, “The information spatial
density found in rodent hippocampal and septal cells.” October 2003.
9. Institute for theoretical Biology, Berlin, Germany, “A subjective distance between stimuli:
quantifying the metric structure of representations”, September 2004.
10. FaMAF, Facultad de Matemática, Astronomía y Física , “Codificación neuronal de la información
sensorial”, Córdoba, Argentina, 18thNovember, 2004.
11. Departamento de Fisiología, UBA, Buenos Aires, Argentina, “Adaptación de la codificación
sensorial al ambiente natural en que vive un animal”, July 2005.
12. Sociedad Argentina de Neurología Infantil, Buenos Aires, Argentina, “Bases neurobiológicas del
procesamiento de información”, August 2005.
13. Institute for theoretical Biology, Berlin, Germany, “Information transmission in burst spiking”,
October 2005.
14. Institute for theoretical Biology, Berlin, Germany, “The role of cortical networks in orientation
selectivity”, October 2006.
15. Escuela BioMat 2007, La Falda, Argentina, “Modelos de dinámica de una única neurona”, Junio
2007.
16. Institute for theoretical Biology, Berlin, Germany, “Type I and Type II neural models are
selective to differential stimulus features”, October 2007.
17. Neural Coding 2007, Montevideo, Uruguay, “Burst firing is a neural code in an insect auditory
system”, November 2007.
18. X Taller de Neurociencias 2008, Huerta Grande, Argentina. “Caracterización de la información
transmitida por neuronas individuales”, April 2008.
19. 1st Tutzing Meeting on Insect Hearing, Tutzing, Germany “Categorical and temporal information
transmitted by spike patterns in single neurons”, September 2008.
20. Department of Biology, University of Manchester, UK, “Conversion of phase information into a
spike-count code by bursting neurons”, May 2009.
21. Institute for theoretical Biology, Berlin, Germany, “Conversion of phase information into a
spike-count code by bursting neurons”, May 2009.
24
22. Max Planck Institute of Neurobiology, Munich, Germany, “Time and category information in the
neural code”, May 2010.
23. Institute for theoretical Biology, Berlin, Germany, “Linking dynamic and functional properties of
Bursting Neurons”, July 2011.
24. Institute for theoretical Biology, Berlin, Germany, “When and why noise correlations are
important in neural decoding”, July 2013.
25. Department of Biology, University of Manchester, UK, “Dynamics and reliability of resonator
neurons in their bistable state”, May 2014.
Reviewing activities
I regularly review articles for Physical Review E, Physical Review Letters, Journal of Physics A, Neural
Computation, Journal of Computational Neuroscience, Network: Computation in Neural Systems,
Biological Cybernetics, Journal of Theoretical Biology and Journal of Neurphysiology. I
alsoparticipateinevaluationprocesses of nationalscientific agencies, as CONICET (Consejo Nacional
de Investigaciones Científicas y Técnicas), Universidad de Buenos Aires (UBA) and ANPCyT (Agencia
Nacional de Promoción Científica y Tecnológica).
Funding
1. August 2001. Grant of Fundación Antorchas, Young Scientists: 4900 USD = 4900 ARS (1 year).
Director.
2. November 2002. Renovation grant of Fundación Antorchas: 2500 USD = 9000 ARS (1 year).
Director.
3. August 2004 – December 2005. Initial Grant of Consejo Nacional de Investigaciones
Científicas y Técnicas: 1600 USD = 5000 ARS. Director.
4. November 2004-November 2006. Grant of SeCyT-ECOS. Group project. Director:
GermánMato. 8000 U$S.
5. June 2005-May 2007: Grant of Universidad Nacional de Cuyo. Group project. Director:
German Mato. Co-director: Inés Samengo. 9000 ARS= 3000 U$S.
25
6. PIP 2005 – 2006 ,Grant of Consejo Nacional de Investigaciones Científicas y Técnicas nº PIP
5140. Goup project. Director: GermánMato, Co-director: Inés Samengo. 15300 USD = 46000
ARS.
7. June 2006: Grant of the Alexander von Humboldt Foundation, to buy micromanipulators:
5561 Euros. Director.
8. Janurary 2007- December 2008: Grant of the Agencia de Promoción Científica y Tecnológica
PICT 2005 nº 38082, Young Scientists, 25000 ARS= 8000 U$D. Director.
9. June 2008 – June 2011: Grant of the Agencia de Promoción Científica y Tecnológica PICT
2006, 300000 ARS= 100000 U$S. Director.
10. PIP 2010 – 2012, Grant of Consejo Nacional de Investigaciones Científicas y Técnicas nº PIP
112 200901 00738. Goup project. Director: Germán Mato, Co-director: Inés Samengo. 76.300
USD = 300.000 ARS.
11. July 2009-June 2011: Grant of Universidad Nacional de Cuyo. Group project. Director:
German Mato. Co-director: Inés Samengo. 10.000 ARS = 2.500 U$S.
12. November 2011-October 2014: Grant of Agencia de Promoción Científica y Tecnológica PICT
2006, 300000 ARS= 73.000 U$S. Director.
13. January 2014 – December 2015: Grant Raíces Siembra, from Ministerio de Ciencia,
Tecnología e Innovación Productiva. 3 international and 3 domestic journeys per year.
Director.
Organization of academic activities
-
2002: Organizer of the academic plan and staff of the undergraduate courses of Instituto
Balseiro.
-
2005: Organizer of the Latin American Workshop in Nonlinear Physics, Bariloche.
-
since 2007: Organizer of yearly training courses for High-School Physics and Mathematics
Teachers in Centro de Formación Continua, Instituto Balseiro, Bariloche.
-
2008: Organizer of TREFEMAC Workshop in Nonlinear Physics, Bariloche.
-
2009 and 2014: Organizer of the José A. Balseiro School “Modeling in Neuroscience”.
26
-
Since January 2013: Member of the Academic Committee for the Master in Physics,
InstitutoBalseiro.
Awards:
-
2016 Prize to the best Professor in Engineering in Telecomunications. Funded by Fundación
José A. Balseiro, and awarded by the students graduated in 2016.
Languages:
Spanish (mother tongue), English, Italian and German, excellent performance in oral and written
comprehension and production.
Other activities:
President of Fundación Principito, supporting the rehabilitation of neurologically impaired children.
www.fundacionprincipito.org.
Inés Samengo
San Carlos de Bariloche, December 2016