LASCON - VIII Latin American Scholl on Computational Neuroscience

LASCON 2020

VIII Latin American School on Computational Neuroscience

NeuroMat – Research, Innovation and Dissemination Center

for Neuromathematics,

Institute of Mathematics and Statistics, University of São Paulo

São Paulo, SP, Brazil

January 6 – 31 2020

The eigtht edition of the Latin American School on Computational Neuroscience – LASCON VIII will be held at the NeuroMat Center in the main campus of the University of São Paulo in the city of São Paulo, Brazil. The school will last for four weeks and will cover the following topics: biophysically detailed single neuron models; reduced and simplified single neuron models; networks of biophysical and simplified neuron models; synaptic plasticity and learning; spike train analysis; statistical methods in neuroscience; models of extracellular fields; modeling of brain stimulation; predictive coding; dynamics of neuronal functional connectivity; and computational psychiatry. These models will be illustrated with the use of programs NEURON, neuroConstruct, XPP-AUTO, Matlab, NEST, Brian and the Virtual Brain. The faculty is composed of an international team of world-renowned researchers in the field of computational neuroscience.

Students should be fluent in English (written/spoken) and have a solid background in life and/or hard sciences (some experience in computer programming is also desirable). Applications should be made electronically using the application form. Applicants are also requested to submit a detailed CV (in English) and to provide two letters of recommendation. The number of students is limited to 20 so the student selection will be competitive and based on the information provided. Costs for accommodation will be covered by the school organization. There is no registration fee for the school. The school will not give travel support for students, who are encouraged to apply for this to both national and international funding agencies.

Selected students will have to bring their own laptops with the necessary programs already installed on them (the organizers will announce the list of programs and their versions prior to the beginning of the school).

At the end of the school students will present preliminary results of simulation projects developed during the school. These projects will be made in groups of two students, and the decisions on the project themes will be made during interviews of students and the school organizers and lecturers in the middle of the second week of school. Student groups will work on the chosen projects during the rest of the school, in parallel with the other activities, and give brief oral presentations of the progress achieved during an assessment session in the beginning of the final week of school. Then, based on suggestions and comments made by lecturers and other students during the assessment session, student groups will resume their work and present their final results orally on the last day of school.

Before arriving at LASCON, students are encouraged to study the material under the “Resources for Students” link in the LASCON webpage. It contains basic stuff that students will need to know to follow the classes.

LASCON 2020 is an activity of the São Paulo Research Foundation (FAPESP) Research, Innovation and Dissemination Center (RIDC) for Neuromathematics (NeuroMat).

Application Deadline: October 5, 2019

Organizing Committee

Organizers

Antonio Galves (University of São Paulo, São Paulo, SP, Brazil)

Antonio Roque (University of São Paulo, Ribeirão Preto, SP, Brazil)

Mauricio Girardi-Schappo (University of São Paulo, Ribeirão Preto, SP, Brazil)

Nilton Kamiji (University of São Paulo, Ribeirão Preto, SP, Brazil)

Local Organizers

Carybé G. Silva (University of São Paulo, São Paulo, SP, Brazil)

Lourdes Netto (University of São Paulo, São Paulo, SP, Brazil)

Marilucia Otama

Vera L. Ribeiro (University of São Paulo, São Paulo, SP, Brazil)

Scientific Committee

Adriano Tort (Brain Institute, Federal University of Rio Grande do Norte, RN, Brazil)

Antonio Galves (University of São Paulo, São Paulo, SP, Brazil)

Antonio Roque (University of São Paulo, Ribeirão Preto, SP, Brazil)

Arnd Roth (University College, London, UK)

John Murray (Yale School of Medicine, New Haven, CT, USA)

Julian Tejada (Federal University of Sergipe, Aracaju, SE, Brazil)

Marcelo Reyes (Federal University of ABC, Santo Andre, SP, Brazil)

Mauricio Girardi-Schappo (University of São Paulo, Ribeirão Preto, SP, Brazil)

Nilton Kamiji (University of São Paulo, Ribeirão Preto, SP, Brazil)

Osame Kinouchi (University of São Paulo, Ribeirão Preto, SP, Brazil)

Reynaldo Pinto (University of São Paulo, São Carlos, SP, Brazil)

Rodrigo Oliveira (Champalimaud Neuroscience Programme, Lisbon, Portugal)

Sidarta Ribeiro (Brain Institute, Federal University of Rio Grande do Norte, RN, Brazil)

Volker Steuber (University of Hertfordshire, Hatfield, UK)

William Lytton (State University of New York, New York, NY, USA)

Date	Time	Activity	Coordinator(s)
Mon Jan 6	09:00–10:00	Lecture 1. Basic neuroscience	V .Steuber
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 2. The cable equation	A. Roth
	11:20–11:30	Interval
	11:30–12:30	Lecture 3. The Hodgkin-Huxley model	V. Steuber
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 1. PYTHON tutorial	N. Kamiji and R. Shimoura
	15:30–15:40	Interval
	15:40–16:40	Tutorial 2. Introduction to NEURON	A. Roth
	16:40–17:00	Coffee break
	17:00–18:00	Tutorial 3. Software installation and Python exercises	Tutors
	18:00–20:00	Exercises	Tutors

Date	Time	Activity	Coordinator(s)
Tue Jan 7	09:00–10:00	Lecture 4. Matching passive neuron models to data	A. Roth
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 5. Modeling ionic currents and their effects	V. Steuber
	11:20–11:30	Interval
	11:30–12:30	Lecture 6. Reduced neuron models and phase plane analysis 1	B. Marin
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 4. NEURON 1	A. Roth and S. Durá-Bernal
	15:30–15:40	Interval
	15:40–16:40	Tutorial 5. NEURON 2	A. Roth and S. Durá-Bernal
	16:40–17:00	Coffee break
	17:00–18:00	Tutorial 6. Reduced neuron models and phase plane analysis tutorial 1	B. Marin
	18:00–18:10	Interval
	18:10–19:10	Tutorial 6. NEURON 3	A. Roth and S. Durá-Bernal
	19:10–20:00	Exercises	Tutors

Date	Time	Activity	Coordinator(s)
Wed Jan 8	09:00–10:00	Lecture 7. Modeling synapses	A. Roth
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 8. Compartmental modeling	V. Steuber
	11:20–11:30	Interval
	11:30–12:30	Lecture 9. Reduced neuron models and phase plane analysis 2	B. Marin
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 7. NEURON 4	A. Roth and S. Durá-Bernal
	15:30–15:40	Interval
	15:40–16:40	Tutorial 8. NEURON 5	A. Roth and S. Durá-Bernal
	16:40–17:00	Coffee break
	17:00–18:00	Tutorial 9. Reduced neuron models and phase plane analysis tutorial 2	B. Marin
	18:00–20:00	Exercises	Tutors

Date	Time	Activity	Coordinator(s)
Thu Jan 9	09:00–10:00	Lecture 10. Dendritic computation	A. Roth
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 11. Realistic modeling of small neuron circuits	V. Steuber
	11:20–11:30	Interval
	11:30–12:30	Lecture 12. Reduced neuron models and phase plane analysis 3	B. Marin
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 10. NEURON 6	A. Roth and S. Durá-Bernal
	15:30–15:40	Interval
	15:40–16:40	Tutorial 11. neuroConstruct tutorial 1	V. Steuber
	16:40–17:00	Coffee break
	17:00–18:00	Tutorial 12. Reduced neuron models and phase plane analysis tutorial 3	B. Marin
	19:00–22:00	Get together party 1	A. Roque

Date	Time	Activity	Coordinator(s)
Fri Jan 10	09:00–10:00	Lecture 13. Resources for neural modeling	V. Steuber
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 14. Reduced neuron models and phase plane analysis 4	B. Marin
	11:20–11:30	Interval
	11:30–12:30	Invited Lecture 1. Active dendrites enable strong but sparse inputs to determine orientation selectivity	A. Roth
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 13. neuroConstruct tutorial 2	V. Steuber
	15:30–15:40	Interval
	15:40–16:40	Tutorial 14. Reduced neuron models and phase plane analysis tutorial 4	B. Marin
	16:40–17:00	Coffee break
	17:00–18:00	Invited Lecture 2. To be announced	V. Steuber
	18:00–20:00	Exercises	Tutors

VIII Latin American Scholl on Computational Neuroscience

Scientific Research

Program

Sun Jan 5

Mon Jan 6

Tue Jan 7

Wed Jan 8

Thu Jan 9

Fri Jan 10

Sat Jan 11

Sun Jan 12

Tue Jan 14

Wed Jan 15

Thu Jan 16

Fri Jan 17

Sat Jan 18

Sun Jan 19

Mon Jan 20

Tue Jan 21

Wed Jan 22

Thu Jan 23

Fri Jan 24

Sat Jan 25

Sun Jan 26

Mon Jan 27

Tue Jan 28

Wed Jan 29

Thu Feb 30

Fri Jan 31

Sat Feb 01

Dissemination

Download Lascon Event files

Date	Time	Activity	Coordinator(s)
Sat Jan 11	09:00–10:00	Lecture 15. Simplified neuron models 1	S. van Albada
	10:00–10:20	Coffee break
	10:20–11:20	Invited Lecture 3. To be announced	B. Marin
	11:20–11:30	Interval
	11:30–12:30	Lecture 16. Networks of biophysical neuron models 1	W. Lytton
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 15. NEST 1	M. Schmidt
	15:30–15:40	Interval
	15:40–16:40	Tutorial 16. Networks of biophysical neuron models tutorial 1	W. Lytton and S. Durá-Bernal

Date	Time	Activity	Coordinator(s)
Sun Jan 12		Day off
Mon Jan 13	09:00–10:00	Lecture 17. Networks of biophysical neuron models 2	W. Lytton
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 18. Simplified neuron models 2	S. van Albada
	11:20–11:30	Interval
	11:30–12:30	Lecture 19. Synaptic plasticity and learning 1	G. Mato
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 17. Networks of biophysical neuron models tutorial 2	W. Lytton and S. Durá-Bernal
	15:30–15:40	Interval
	15:40–16:40	Tutorial 18. NEST 2	M. Schmidt
	16:40–17:00	Coffee break
	17:00–18:00	Tutorial 19: Synaptic plasticity and learning tutorial 1	G. Mato
	18:00–20:00	Exercises	Tutors

Date	Time	Activity	Coordinator(s)
Tue Jan 14	09:00–10:00	Lecture 20. Networks of biophysical neuron models 3	W. Lytton
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 21. Networks of simplified neuron models 1	S. van Albada
	11:20–11:30	Interval
	11:30–12:30	Lecture 22. Synaptic plasticity and learning 2	G. Mato
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 20. Networks of biophysical neuron models tutorial 3	W. Lytton and S. Durá-Bernal
	15:30–15:40	Interval
	15:40–16:40	Tutorial 21. NEST 3	M. Schmidt
	16:40–17:00	Coffee break
	17:00–18:00	Tutorial 22: Synaptic plasticity and learning tutorial 2	G. Mato
	18:00–20:00	Exercises	Tutors

Date	Time	Activity	Coordinator(s)
Wed Jan 15	09:00–10:00	Lecture 23. Networks of biophysical neuron models 4	W. Lytton
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 24. Networks of simplified neuron models 2	S. van Albada
	11:20–11:30	Interval
	11:30–12:30	Tutorial 23. Networks of biophysical neuron models tutorial 4	W. Lytton and S. Durá-Bernal
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 24. NEST 4	M. Schmidt
	15:30–15:40	Interval
	15:40–16:40	Interviews with students for projects definitions	A. Roque, lecturers and tutors
	16:40–17:00	Coffee break
	17:00–20:00	Interviews with students for projects definitions	A. Roque, lecturers and tutors

Date	Time	Activity	Coordinator(s)
Thu Jan 16	09:00–10:00	Lecture 25. Synaptic plasticity and learning 3	G. Mato
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 26. Variable-length memory chains and applications in neuroscience 1: spike trains 1	G. Ost
	11:20–11:30	Interval
	11:30–12:30	Invited Lecture 4. To be announced	W. Lytton
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 25. Synaptic plasticity and learning tutorial 3	G. Mato
	15:30–15:40	Interval
	15:40–16:40	Tutorial 26. Variable-length memory chains and applications in neuroscience tutorial 1: spike trains 1	G. Ost
	16:40–17:00	Coffee break
	17:00–18:00	Invited lecture 5. To be announced	S. van Albada
	19:00–22:00	Get together party 2	A. Roque

Date	Time	Activity	Coordinator(s)
Fri Jan 17	09:00–10:00	Lecture 27. Synaptic plasticity and learning 4	G. Mato
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 28.Variable-length memory chains and applications in neuroscience 2: spike trains 2	G. Ost
	11:20–11:30	Interval
	11:30–12:30	Lecture 29. Spike train analysis 1	C. Pouzat
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 27. Synaptic plasticity and learning tutorial 4	G. Mato
	15:30–15:40	Interval
	15:40–16:40	Tutorial 28.Variable-length memory chains and applications in neuroscience tutorial 2: spike trains 2	G. Ost
	16:40–17:00	Coffee break
	17:00–18:00	Tutorial 29. Spike train analysis tutorial 1	C. Pouzat
	18:00–20:00	Exercises and project work	Tutors

Date	Time	Activity	Coordinator(s)
Sat Jan 18	09:00–10:00	Lecture 30.Variable-length memory chains and applications in neuroscience 3: EEG 1	A. Duarte
	10:00–10:20	Coffee break
	10:20–11:20	Invited Lecture 6. To be announced	G. Mato
	11:20–11:30	Interval
	11:30–12:30	Tutorial 30.Variable-length memory chains and applications in neuroscience tutorial 3: EEG 1	A. Duarte
	12:30–	Rest of day free

Date	Time	Activity	Coordinator(s)
Mon Jan 20	09:00–10:00	Lecture 31.Variable-length memory chains and applications in neuroscience 4: EEG 2	A. Duarte
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 32. Spike train analysis 2	C. Pouzat
	11:20–11:30	Interval
	11:30–12:30	Lecture 33. Computational psychiatry 1	J. Murray
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 31.Variable-length memory chains and applications in neuroscience tutorial 4: EEG 2	A. Duarte
	15:30–15:40	Interval
	15:40–16:40	Tutorial 32. Spike train analysis tutorial 2	C. Pouzat
	16:40–17:00	Coffee break
	17:00–18:00	Tutorial 33. Computational psychiatry tutorial 1	J. Murray
	18:00–20:00	Exercises and project work	Tutors

Date	Time	Activity	Coordinator(s)
Tue Jan 21	09:00–10:00	Lecture 34. Spike train analysis 3	C. Pouzat
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 35. Computational psychiatry 2	J. Murray
	11:20–11:30	Interval
	11:30–12:30	Invited lecture 7. Multiscale model of M1 microcircuits using NEURON and NetPyNE	S. Durá-Bernal
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 34. Spike train analysis tutorial 3	C. Pouzat
	15:30–15:40	Interval
	15:40–16:40	Tutorial 35. Computational psychiatry tutorial 2	J. Murray
	16:40–17:00	Coffee break
	17:00–18:00	Invited lecture 8. To be announced	G. Ost
	18:00–18:40	Exercises and project work	Tutors
	18:40–19:40	Invited lecture 9.	L. Rodrigues

Date	Time	Activity	Coordinator(s)
Wed Jan 22	09:00–10:00	Lecture 36. Spike train analysis 4	C. Pouzat
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 37. Computational psychiatry 3	J. Murray
	11:20–11:30	Interval
	11:30–12:30	Lecture 38. Active inference and predictive coding in the brain 1	A. Bastos
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 36. Spike train analysis tutorial 4	C. Pouzat
	15:30–15:40	Interval
	15:40–16:40	Tutorial 37. Computational psychiatry tutorial 3	J. Murray
	16:40–17:00	Coffee break
	17:00–18:00	Tutorial 38. Active inference and predictive coding in the brain tutorial 1	A. Bastos
	18:00–20:00	Exercises and project work	Tutors

Date	Time	Activity	Coordinator(s)
Fri Jan 31	09:40–10:00	Introduction to the project presentations	A. Roque
	10:00–10:20	Project presentation 1. Modeling a decision making network with spiking neurons	E. Oruro and R. Pena
	10:20–10:40	Project presentation 2. Modeling mildly-adapting excitatory neurons in the claustrum	E. Griffith, D. Castro and A. Silva
	10:40–11:00	Coffee break
	11:00–11:20	Project presentation 3. Transposition of the Potjans-Diesmann model from Nest to Neuron and comparison of networks with LIF and HH-type neuron models	C. Romaro and F. Najman
	11:20–11:40	Project presentation 4. The acute effects of dopamine on the cortico-basal ganglia-thalamic circuit	A. Figueiredo and F. Kern
	11:40–12:00	Project presentation 5. Synchrony alternations in an epileptogenic network	K. Guimarães, M. Pasquetti and P. Protachevicz
	12:00–14:00	Lunch
	14:00–14:20	Project presentation 6. Dopaminergic modulation of adult born granule cells activity on a simplified dentate gyrus network	F. Rodriguez and M. Mugnaini
	14:20–14:40	Project presentation 7. Computational modeling of the effects of demyelination in axon impulse propagation	R. Capps, J. Moreira and N. Rabelo
	14:40–15:00	Project presentation 8. Effect of ephaptic coupling on neural networks that generate fast oscillations	P. Chacon, Y. Leon and V. Carvalho
	15:00–15:10	Interval
	15:10–15:30	Project presentation 9. Biophysical model of acetylcholine modulation in visual cortex	S. Rostami, V. Lima and P. Ghaderi
	15:30–15:50	Project presentation 10. A motor system model with reinforcement learning to control a virtual arm: a translation from Python-Neuron to NetPyNE	J. Riascos, P. Urbizagastegui and S. Paredes-Zuñiga
	15:50–16:10	Project presentation 11. Human vs mouse: an analysis based on computational modeling and available real data	R. Erazo and H. Shimozako
	16:10–16:30	Coffee break
	16:30–16:50	Project presentation 12. A Hebbian spiking model of working memory	G. Debastiani, L. Dragoni and V. Cuziol
	16:50–17:10	Project presentation 13. Encoding and retrieval in a model of the hippocampal CA1 microcircuit: translation from NEURON to NetPyNE	O. Sabri, A. Sugi and A. Tepper
	17:10–17:30	Interval
	17:30–18:30	Closing remarks	A. Roque
	19:30–	Final party	A. Roque

Date	Time	Activity	Coordinator(s)
Thu Jan 23	09:00–10:00	Lecture 39. Computational psychiatry 4	J. Murray
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 40. Active inference and predictive coding in the brain 2	A. Bastos
	11:20–11:30	Interval
	11:30–12:30	Invited lecture 10. To be announced	M. Schmidt
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 39. Computational psychiatry tutorial 4	J. Murray
	15:30–15:40	Interval
	15:40–16:40	Tutorial 40. Active inference and predictive coding in the brain tutorial 2	A. Bastos
	16:40–17:00	Coffee break
	17:00–18:00	Invited lecture 11. On the mechanisms of spatial coding by hippocampal neurons	A. Tort
	19:00–22:00	Get together party 3	A. Roque

Date	Time	Activity	Coordinator(s)
Fri Jan 24	09:00–10:00	Invited lecture 16. To be announced	C. Pouzat
	10:00–10:20	Coffee break
	10:20–11:20	Tutorial 41. Stochastic modeling of ion channels tutorial	P. Orio
	11:20–11:30	Interval
	11:30–12:30	Invited lecture 17. Spectral asymmetries in the cortex and predictive coding	A. Bastos
	12:30–	Rest of day free

Date	Time	Activity	Coordinator(s)
Mon Jan 27	09:00–10:00	Lecture 44. Dynamics of functional connectivity 1	D. Battaglia
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 45. Statistical model selection 1	D. Takahashi
	11:20–11:30	Interval
	11:30–12:30	Invited lecture 18. Diverse ion channels involved in cold transduction	P. Orio
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 42. Dynamics of functional connectivity tutorial 1	D. Battaglia
	15:30–15:40	Interval
	15:40–16:40	Invited lecture 19. Color opponent signal transformation in the fish retina	N. Kamiji
	16:40–17:00	Coffee break
	17:00–18:00	Student projects progress report session	A. Roque, lecturers and tutors
	18:00–20:00	Exercises and project work	Tutors

Date	Time	Activity	Coordinator(s)
Tue Jan 28	09:00–10:00	Lecture 46. Dynamics of functional connectivity 2	D. Battaglia
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 47.Statistical model selection 2	D. Takahashi
	11:20–11:30	Interval
	11:30–12:30	Invited lecture 20. How the brain organizes behavior through timely long range functional connectivity	P. Maldonado
	12:30–14:30	Lunch
	14:30–15:30	Lecture 48. Dynamics of functional connectivity 3	D. Battaglia
	15:30–15:40	Interval
	15:40–16:40	Tutorial 43. Dynamics of functional connectivity tutorial 2	D. Battaglia
	16:40–17:00	Coffee break
	17:00–18:00	Tutorial 44. Dynamics of functional connectivity tutorial 3	D. Battaglia
	18:00–20:00	Exercises and project work	Tutors

Date	Time	Activity	Coordinator(s)
Wed Jan 29	09:00–10:00	Lecture 49. Dynamics of functional connectivity 4	D. Battaglia
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 50. Statistical model selection 3	D. Takahashi
	11:20–11:30	Interval
	11:30–12:30	Tutorial 45. Dynamics of functional connectivity tutorial 4	D. Battaglia
	12:30–14:30	Lunch
	14:30–15:30	Exercises and project work	Tutors
	15:30–15:40	Interval
	15:40–16:40	Exercises and project work	Tutors
	16:40–17:00	Coffee break
	17:00–20:00	Exercises and project work	Tutors

Date	Time	Activity	Coordinator(s)
Thu Feb 30	09:00–10:00	Invited Lecture 21. To be announced	D. Battaglia
	10:00–10:20	Coffee break
	10:20–11:20	Invited Lecture 22. Coupled oscillator dynamics of vocal turn–taking in monkeys	D. Takahashi
	11:20–11:30	Interval
	11:30–12:30	Exercises and project work	Tutors
	12:30–14:30	Lunch
	14:30–15:30	Exercises and project work	Tutors
	15:30–15:40	Interval
	15:40–16:40	Exercises and project work	Tutors
	16:40–17:00	Coffee break
	17:00–20:00	Exercises and project work	Tutors

Date	Time	Activity	Coordinator(s)
Sun Jan 7	14:00–22:00	Arrival	A. Roque
Mon Jan 8	09:00–10:00	Lecture 1. Basic neuroscience	V .Steuber
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 2. The cable equation	A. Roth
	11:20–11:30	Interval
	11:30–12:30	Lecture 3. The Hodgkin-Huxley model	V. Steuber
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 1. PYTHON tutorial	N. Kamiji and R. Shimoura
	15:30–15:40	Interval
	15:40–16:40	Tutorial 2. Introduction to NEURON	A. Roth
	16:40–17:00	Coffee break
	17:00–18:00	Tutorial 3. Software installation and Python exercises	Tutors
	18:00–20:00	Exercises	Tutors
Tue Jan 9	09:00–10:00	Lecture 4. Matching passive neuron models to data	A. Roth
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 5. Modeling ionic currents and their effects	V. Steuber
	11:20–11:30	Interval
	11:30–12:30	Lecture 6. Reduced neuron models and phase plane analysis 1	B. Marin
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 4. NEURON 1	A. Roth and S. Durá-Bernal
	15:30–15:40	Interval
	15:40–16:40	Tutorial 5. NEURON 2	A. Roth and S. Durá-Bernal
	16:40–17:00	Coffee break
	17:00–18:00	Tutorial 6. Reduced neuron models and phase plane analysis tutorial 1	B. Marin
	18:00–18:10	Interval
	18:10–19:10	Tutorial 6. NEURON 3	A. Roth and S. Durá-Bernal
	19:10–20:00	Exercises	Tutors
Wed Jan 10	09:00–10:00	Lecture 7. Modeling synapses	A. Roth
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 8. Compartmental modeling	V. Steuber
	11:20–11:30	Interval
	11:30–12:30	Lecture 9. Reduced neuron models and phase plane analysis 2	B. Marin
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 7. NEURON 4	A. Roth and S. Durá-Bernal
	15:30–15:40	Interval
	15:40–16:40	Tutorial 8. NEURON 5	A. Roth and S. Durá-Bernal
	16:40–17:00	Coffee break
	17:00–18:00	Tutorial 9. Reduced neuron models and phase plane analysis tutorial 2	B. Marin
	18:00–20:00	Exercises	Tutors
Thu Jan 11	09:00–10:00	Lecture 10. Dendritic computation	A. Roth
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 11. Realistic modeling of small neuron circuits	V. Steuber
	11:20–11:30	Interval
	11:30–12:30	Lecture 12. Reduced neuron models and phase plane analysis 3	B. Marin
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 10. NEURON 6	A. Roth and S. Durá-Bernal
	15:30–15:40	Interval
	15:40–16:40	Tutorial 11. neuroConstruct tutorial 1	V. Steuber
	16:40–17:00	Coffee break
	17:00–18:00	Tutorial 12. Reduced neuron models and phase plane analysis tutorial 3	B. Marin
	19:00–22:00	Get together party 1	A. Roque
Fri Jan 12	09:00–10:00	Lecture 13. Resources for neural modeling	V. Steuber
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 14. Reduced neuron models and phase plane analysis 4	B. Marin
	11:20–11:30	Interval
	11:30–12:30	Invited Lecture 1. Active dendrites enable strong but sparse inputs to determine orientation selectivity	A. Roth
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 13. neuroConstruct tutorial 2	V. Steuber
	15:30–15:40	Interval
	15:40–16:40	Tutorial 14. Reduced neuron models and phase plane analysis tutorial 4	B. Marin
	16:40–17:00	Coffee break
	17:00–18:00	Invited Lecture 2. To be announced	V. Steuber
	18:00–20:00	Exercises	Tutors
Sat Jan 13	09:00–10:00	Lecture 15. Simplified neuron models 1	S. van Albada
	10:00–10:20	Coffee break
	10:20–11:20	Invited Lecture 3. To be announced	B. Marin
	11:20–11:30	Interval
	11:30–12:30	Lecture 16. Networks of biophysical neuron models 1	W. Lytton
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 15. NEST 1	M. Schmidt
	15:30–15:40	Interval
	15:40–16:40	Tutorial 16. Networks of biophysical neuron models tutorial 1	W. Lytton and S. Durá-Bernal
Sun Jan 14		Day off
Mon Jan 15	09:00–10:00	Lecture 17. Networks of biophysical neuron models 2	W. Lytton
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 18. Simplified neuron models 2	S. van Albada
	11:20–11:30	Interval
	11:30–12:30	Lecture 19. Synaptic plasticity and learning 1	G. Mato
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 17. Networks of biophysical neuron models tutorial 2	W. Lytton and S. Durá-Bernal
	15:30–15:40	Interval
	15:40–16:40	Tutorial 18. NEST 2	M. Schmidt
	16:40–17:00	Coffee break
	17:00–18:00	Tutorial 19: Synaptic plasticity and learning tutorial 1	G. Mato
	18:00–20:00	Exercises	Tutors
Tue Jan 16	09:00–10:00	Lecture 20. Networks of biophysical neuron models 3	W. Lytton
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 21. Networks of simplified neuron models 1	S. van Albada
	11:20–11:30	Interval
	11:30–12:30	Lecture 22. Synaptic plasticity and learning 2	G. Mato
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 20. Networks of biophysical neuron models tutorial 3	W. Lytton and S. Durá-Bernal
	15:30–15:40	Interval
	15:40–16:40	Tutorial 21. NEST 3	M. Schmidt
	16:40–17:00	Coffee break
	17:00–18:00	Tutorial 22: Synaptic plasticity and learning tutorial 2	G. Mato
	18:00–20:00	Exercises	Tutors
Wed Jan 17	09:00–10:00	Lecture 23. Networks of biophysical neuron models 4	W. Lytton
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 24. Networks of simplified neuron models 2	S. van Albada
	11:20–11:30	Interval
	11:30–12:30	Tutorial 23. Networks of biophysical neuron models tutorial 4	W. Lytton and S. Durá-Bernal
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 24. NEST 4	M. Schmidt
	15:30–15:40	Interval
	15:40–16:40	Interviews with students for projects definitions	A. Roque, lecturers and tutors
	16:40–17:00	Coffee break
	17:00–20:00	Interviews with students for projects definitions	A. Roque, lecturers and tutors
Thu Jan 18	09:00–10:00	Lecture 25. Synaptic plasticity and learning 3	G. Mato
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 26. Variable-length memory chains and applications in neuroscience 1: spike trains 1	G. Ost
	11:20–11:30	Interval
	11:30–12:30	Invited Lecture 4. To be announced	W. Lytton
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 25. Synaptic plasticity and learning tutorial 3	G. Mato
	15:30–15:40	Interval
	15:40–16:40	Tutorial 26. Variable-length memory chains and applications in neuroscience tutorial 1: spike trains 1	G. Ost
	16:40–17:00	Coffee break
	17:00–18:00	Invited lecture 5. To be announced	S. van Albada
	19:00–22:00	Get together party 2	A. Roque
Fri Jan 19	09:00–10:00	Lecture 27. Synaptic plasticity and learning 4	G. Mato
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 28.Variable-length memory chains and applications in neuroscience 2: spike trains 2	G. Ost
	11:20–11:30	Interval
	11:30–12:30	Lecture 29. Spike train analysis 1	C. Pouzat
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 27. Synaptic plasticity and learning tutorial 4	G. Mato
	15:30–15:40	Interval
	15:40–16:40	Tutorial 28.Variable-length memory chains and applications in neuroscience tutorial 2: spike trains 2	G. Ost
	16:40–17:00	Coffee break
	17:00–18:00	Tutorial 29. Spike train analysis tutorial 1	C. Pouzat
	18:00–20:00	Exercises and project work	Tutors
Sat Jan 20	09:00–10:00	Lecture 30.Variable-length memory chains and applications in neuroscience 3: EEG 1	A. Duarte
	10:00–10:20	Coffee break
	10:20–11:20	Invited Lecture 6. To be announced	G. Mato
	11:20–11:30	Interval
	11:30–12:30	Tutorial 30.Variable-length memory chains and applications in neuroscience tutorial 3: EEG 1	A. Duarte
	12:30–	Rest of day free
Sun Jan 21		Day off
Mon Jan 22	09:00–10:00	Lecture 31.Variable-length memory chains and applications in neuroscience 4: EEG 2	A. Duarte
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 32. Spike train analysis 2	C. Pouzat
	11:20–11:30	Interval
	11:30–12:30	Lecture 33. Computational psychiatry 1	J. Murray
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 31.Variable-length memory chains and applications in neuroscience tutorial 4: EEG 2	A. Duarte
	15:30–15:40	Interval
	15:40–16:40	Tutorial 32. Spike train analysis tutorial 2	C. Pouzat
	16:40–17:00	Coffee break
	17:00–18:00	Tutorial 33. Computational psychiatry tutorial 1	J. Murray
	18:00–20:00	Exercises and project work	Tutors
Tue Jan 23	09:00–10:00	Lecture 34. Spike train analysis 3	C. Pouzat
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 35. Computational psychiatry 2	J. Murray
	11:20–11:30	Interval
	11:30–12:30	Invited lecture 7. Multiscale model of M1 microcircuits using NEURON and NetPyNE	S. Durá-Bernal
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 34. Spike train analysis tutorial 3	C. Pouzat
	15:30–15:40	Interval
	15:40–16:40	Tutorial 35. Computational psychiatry tutorial 2	J. Murray
	16:40–17:00	Coffee break
	17:00–18:00	Invited lecture 8. To be announced	G. Ost
	18:00–18:40	Exercises and project work	Tutors
	18:40–19:40	Invited lecture 9.	L. Rodrigues
Wed Jan 24	09:00–10:00	Lecture 36. Spike train analysis 4	C. Pouzat
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 37. Computational psychiatry 3	J. Murray
	11:20–11:30	Interval
	11:30–12:30	Lecture 38. Active inference and predictive coding in the brain 1	A. Bastos
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 36. Spike train analysis tutorial 4	C. Pouzat
	15:30–15:40	Interval
	15:40–16:40	Tutorial 37. Computational psychiatry tutorial 3	J. Murray
	16:40–17:00	Coffee break
	17:00–18:00	Tutorial 38. Active inference and predictive coding in the brain tutorial 1	A. Bastos
	18:00–20:00	Exercises and project work	Tutors
Thu Jan 25	09:00–10:00	Lecture 39. Computational psychiatry 4	J. Murray
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 40. Active inference and predictive coding in the brain 2	A. Bastos
	11:20–11:30	Interval
	11:30–12:30	Invited lecture 10. To be announced	M. Schmidt
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 39. Computational psychiatry tutorial 4	J. Murray
	15:30–15:40	Interval
	15:40–16:40	Tutorial 40. Active inference and predictive coding in the brain tutorial 2	A. Bastos
	16:40–17:00	Coffee break
	17:00–18:00	Invited lecture 11. On the mechanisms of spatial coding by hippocampal neurons	A. Tort
	19:00–22:00	Get together party 3	A. Roque
Fri Jan 26	09:00–10:00	Lecture 41. Active inference and predictive coding in the brain 3	A. Bastos
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 42. Stochastic modeling of ion channels 1	P. Orio
	11:20–11:30	Interval
	11:30–12:30	Invited Lecture 12. To be announced	J. Murray
	12:30–14:30	Lunch
	14:30–15:30	Lecture 43. Stochastic modeling of ion channels 2	P. Orio
	15:30–15:40	Interval
	15:40–16:40	Invited lecture 13. If the brain is critical, what is the phase transition?	M. Copelli
	16:40–17:00	Coffee break
	17:00–18:00	Invited lecture 14. The goalkeeper game	N. Hernández-González
	18:00–18:40	Exercises and project work	Tutors
	18:40–19:40	Invited lecture 15. Thinking about 1000 neurons	W. Bialek
Sat Jan 27	09:00–10:00	Invited lecture 16. To be announced	C. Pouzat
	10:00–10:20	Coffee break
	10:20–11:20	Tutorial 41. Stochastic modeling of ion channels tutorial	P. Orio
	11:20–11:30	Interval
	11:30–12:30	Invited lecture 17. Spectral asymmetries in the cortex and predictive coding	A. Bastos
	12:30–	Rest of day free
Sun Jan 28		Day off
Mon Jan 29	09:00–10:00	Lecture 44. Dynamics of functional connectivity 1	D. Battaglia
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 45. Statistical model selection 1	D. Takahashi
	11:20–11:30	Interval
	11:30–12:30	Invited lecture 18. Diverse ion channels involved in cold transduction	P. Orio
	12:30–14:30	Lunch
	14:30–15:30	Tutorial 42. Dynamics of functional connectivity tutorial 1	D. Battaglia
	15:30–15:40	Interval
	15:40–16:40	Invited lecture 19. Color opponent signal transformation in the fish retina	N. Kamiji
	16:40–17:00	Coffee break
	17:00–18:00	Student projects progress report session	A. Roque, lecturers and tutors
	18:00–20:00	Exercises and project work	Tutors
Tue Jan 30	09:00–10:00	Lecture 46. Dynamics of functional connectivity 2	D. Battaglia
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 47.Statistical model selection 2	D. Takahashi
	11:20–11:30	Interval
	11:30–12:30	Invited lecture 20. How the brain organizes behavior through timely long range functional connectivity	P. Maldonado
	12:30–14:30	Lunch
	14:30–15:30	Lecture 48. Dynamics of functional connectivity 3	D. Battaglia
	15:30–15:40	Interval
	15:40–16:40	Tutorial 43. Dynamics of functional connectivity tutorial 2	D. Battaglia
	16:40–17:00	Coffee break
	17:00–18:00	Tutorial 44. Dynamics of functional connectivity tutorial 3	D. Battaglia
	18:00–20:00	Exercises and project work	Tutors
Wed Jan 31	09:00–10:00	Lecture 49. Dynamics of functional connectivity 4	D. Battaglia
	10:00–10:20	Coffee break
	10:20–11:20	Lecture 50. Statistical model selection 3	D. Takahashi
	11:20–11:30	Interval
	11:30–12:30	Tutorial 45. Dynamics of functional connectivity tutorial 4	D. Battaglia
	12:30–14:30	Lunch
	14:30–15:30	Exercises and project work	Tutors
	15:30–15:40	Interval
	15:40–16:40	Exercises and project work	Tutors
	16:40–17:00	Coffee break
	17:00–20:00	Exercises and project work	Tutors
Thu Feb 01	09:00–10:00	Invited Lecture 21. To be announced	D. Battaglia
	10:00–10:20	Coffee break
	10:20–11:20	Invited Lecture 22. Coupled oscillator dynamics of vocal turn–taking in monkeys	D. Takahashi
	11:20–11:30	Interval
	11:30–12:30	Exercises and project work	Tutors
	12:30–14:30	Lunch
	14:30–15:30	Exercises and project work	Tutors
	15:30–15:40	Interval
	15:40–16:40	Exercises and project work	Tutors
	16:40–17:00	Coffee break
	17:00–20:00	Exercises and project work	Tutors
Fri Feb 02	09:40–10:00	Introduction to the project presentations	A. Roque
	10:00–10:20	Project presentation 1. Modeling a decision making network with spiking neurons	E. Oruro and R. Pena
	10:20–10:40	Project presentation 2. Modeling mildly-adapting excitatory neurons in the claustrum	E. Griffith, D. Castro and A. Silva
	10:40–11:00	Coffee break
	11:00–11:20	Project presentation 3. Transposition of the Potjans-Diesmann model from Nest to Neuron and comparison of networks with LIF and HH-type neuron models	C. Romaro and F. Najman
	11:20–11:40	Project presentation 4. The acute effects of dopamine on the cortico-basal ganglia-thalamic circuit	A. Figueiredo and F. Kern
	11:40–12:00	Project presentation 5. Synchrony alternations in an epileptogenic network	K. Guimarães, M. Pasquetti and P. Protachevicz
	12:00–14:00	Lunch
	14:00–14:20	Project presentation 6. Dopaminergic modulation of adult born granule cells activity on a simplified dentate gyrus network	F. Rodriguez and M. Mugnaini
	14:20–14:40	Project presentation 7. Computational modeling of the effects of demyelination in axon impulse propagation	R. Capps, J. Moreira and N. Rabelo
	14:40–15:00	Project presentation 8. Effect of ephaptic coupling on neural networks that generate fast oscillations	P. Chacon, Y. Leon and V. Carvalho
	15:00–15:10	Interval
	15:10–15:30	Project presentation 9. Biophysical model of acetylcholine modulation in visual cortex	S. Rostami, V. Lima and P. Ghaderi
	15:30–15:50	Project presentation 10. A motor system model with reinforcement learning to control a virtual arm: a translation from Python-Neuron to NetPyNE	J. Riascos, P. Urbizagastegui and S. Paredes-Zuñiga
	15:50–16:10	Project presentation 11. Human vs mouse: an analysis based on computational modeling and available real data	R. Erazo and H. Shimozako
	16:10–16:30	Coffee break
	16:30–16:50	Project presentation 12. A Hebbian spiking model of working memory	G. Debastiani, L. Dragoni and V. Cuziol
	16:50–17:10	Project presentation 13. Encoding and retrieval in a model of the hippocampal CA1 microcircuit: translation from NEURON to NetPyNE	O. Sabri, A. Sugi and A. Tepper
	17:10–17:30	Interval
	17:30–18:30	Closing remarks	A. Roque
	19:30–	Final party	A. Roque
Sat Feb 03	09:00–	Return home