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 |