| Date: | Time: | Activity: | Coordinator(s): |
|---|---|---|---|
| Sun Jan 5 | 14:00–22:00 | Arrival day | A. Roque |
| Mon Jan 6 | 09:00–10:00 | Lecture 1. Introduction to LASCON and computational neuroscience | A. Roque |
| 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 | A. Roth | |
| 12:30–14:30 | Lunch | ||
| 14:30–15:30 | Tutorial 1. PYTHON tutorial | N. Kamiji, C. Romaro and R. Shimoura | |
| 15:30–15:40 | Interval | ||
| 15:40–16:40 | Tutorial 2. Introduction to NEURON | A. Roth, N. Kamiji and C. Romaro | |
| 16:40–17:00 | Coffee break | ||
| 17:00–18:00 | Tutorial 3. NEURON 1 | A. Roth, N. Kamiji and C. Romaro | |
| 18:00–20:00 | Software installation and exercises | Tutors | |
| 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 | A. Roth | |
| 11:20–11:30 | Interval | ||
| 11:30–12:30 | Lecture 6. Reduced and simplified neuron models and phase plane analysis 1 | H. Rotstein | |
| 12:30–14:30 | Lunch | ||
| 14:30–15:30 | Tutorial 4. NEURON 2 | A. Roth, N. Kamiji and C. Romaro | |
| 15:30–15:40 | Interval | ||
| 15:40–16:40 | Tutorial 5. NEURON 3 | A. Roth, N. Kamiji and C. Romaro | |
| 16:40–17:00 | Coffee break | ||
| 17:00–18:00 | Tutorial 6. Reduced and simplified neuron models and phase plane analysis tutorial 1 | H. Rotstein and M. Girardi-Schappo | |
| 18:00–20:00 | Exercises | Tutors | |
| 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 models with in vivo-like synaptic input | A. Roth | |
| 11:20–11:30 | Interval | ||
| 11:30–12:30 | Lecture 9. Reduced and simplified neuron models and phase plane analysis 2 | H. Rotstein | |
| 12:30–14:30 | Lunch | ||
| 14:30–15:30 | Tutorial 7. NEURON 4 | A. Roth, N. Kamiji and C. Romaro | |
| 15:30–15:40 | Interval | ||
| 15:40–16:40 | Tutorial 8. NEURON 5 | A. Roth, N. Kamiji and C. Romaro | |
| 16:40–17:00 | Coffee break | ||
| 17:00–18:00 | Tutorial 9. Reduced and simplified neuron models and phase plane analysis tutorial 2 | H. Rotstein and M. Girardi-Schappo | |
| 18:00–20:00 | Exercises | Tutors | |
| 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 | A. Roth | |
| 11:20–11:30 | Interval | ||
| 11:30–12:30 | Lecture 12. Reduced and simplified neuron models and phase plane analysis 3 | H. Rotstein | |
| 12:30–14:30 | Lunch | ||
| 14:30–15:30 | Tutorial 10. NEURON 6 | A. Roth, N. Kamiji and C. Romaro | |
| 15:30–15:40 | Interval | ||
| 15:40–16:40 | Lecture 13. Resources for neural modeling | A. Roth | |
| 16:40–17:00 | Coffee break | ||
| 17:00–18:00 | Tutorial 11. Reduced and simplified neuron models and phase plane analysis tutorial 3 | H. Rotstein and M. Girardi-Schappo | |
| 19:30–22:30 | Get together party 1 | A. Roque | |
| Fri Jan 10 | 09:00–10:00 | Invited Lecture 1. Functional connectomics | A. Roth |
| 10:00–10:20 | Coffee break | ||
| 10:20–11:20 | Lecture 14. Reduced and simplified neuron models and phase plane analysis 4 | H. Rotstein | |
| 11:20–11:30 | Interval | ||
| 11:30–12:30 | Lecture 15. Stochastic models in neuroscience 1 | A. Duarte | |
| 12:30–14:30 | Lunch | ||
| 14:30–15:30 | Tutorial 12. Reduced and simplified neuron models and phase plane analysis tutorial 4 | H. Rotstein and M. Girardi-Schappo | |
| 15:30–15:40 | Interval | ||
| 15:40–16:40 | Tutorial 13. Stochastic models in neuroscience | A. Duarte, N. Kamiji,, R. Shimoura and V. Lima | |
| 16:40–17:00 | Coffee break | ||
| 17:00–18:00 | Discussion session 1: Career perspectives in computational neuroscience | Lecturers, tutors and students | |
| 18:00–20:00 | Discussion session 1: Career perspectives in computational neuroscience | Lecturers, tutors and students | |
| Sat Jan 11 | 10:00–11:00 | Lecture 16. Networks of simplified neuron models 1 | S. van Albada |
| 11:00–11:30 | Coffee break | ||
| 11:30–12:30 | Tutorial 14. NEST 1 | S. van Albada and R. Shimoura | |
| 12:30–14:30 | Lunch | ||
| 14:30–15:30 | Lecture 17. Networks of biophysical neuron models 1 | W. Lytton | |
| 15:30–15:40 | Interval | ||
| 15:40–16:40 | Tutorial 15. Networks of biophysical neuron models tutorial 1 | W. Lytton, S. Dura-Bernal, C. Romaro and N. Kamiji | |
| Sun Jan 12 | Day off | ||
| Mon Jan 13 | 09:00–10:00 | Lecture 18. Networks of biophysical neuron models 2 | W. Lytton |
| 10:00–10:20 | Coffee break | ||
| 10:20–11:20 | Lecture 19. Networks of simplified neuron models 2 | S. van Albada | |
| 11:20–11:30 | Interval | ||
| 11:30–12:30 | Lecture 20. Stochastic models in neuroscience 2 | A. Duarte | |
| 12:30–14:30 | Lunch | ||
| 14:30–15:30 | Tutorial 16. Networks of biophysical neuron models tutorial 2 | W. Lytton, S. Dura-Bernal, C. Romaro and N. Kamiji | |
| 15:30–15:40 | Interval | ||
| 15:40–16:40 | Tutorial 17. NEST 2 | S. van Albada and R. Shimoura | |
| 16:40–17:00 | Coffee break | ||
| 17:00–18:00 | Invited lecture 2: Inhibition-based theta resonance in a hippocampal network | H. Rotstein | |
| 18:00–20:00 | Exercises | Tutors | |
| Tue Jan 14 | 09:00–10:00 | Lecture 21. Networks of biophysical neuron models 3 | W. Lytton |
| 10:00–10:20 | Coffee break | ||
| 10:20–11:20 | Lecture 22. Networks of simplified neuron models 3 | S. van Albada | |
| 11:20–11:30 | Interval | ||
| 11:30–12:30 | Lecture 23. Synaptic plasticity and learning 1 | G. Mato | |
| 12:30–14:30 | Lunch | ||
| 14:30–15:30 | Tutorial 18. Networks of biophysical neuron models tutorial 3 | W. Lytton, S. Dura-Bernal, C. Romaro and N. Kamiji | |
| 15:30–15:40 | Interval | ||
| 15:40–16:40 | Tutorial 19. NEST 3 | S. van Albada and R. Shimoura | |
| 16:40–17:00 | Coffee break | ||
| 17:00–18:00 | Tutorial 20: Synaptic plasticity and learning tutorial 1 | G. Mato and M. Girardi-Schappo | |
| 18:00–20:00 | Exercises | Tutors | |
| Wed Jan 15 | 09:00–10:00 | Lecture 24. Networks of biophysical neuron models 4 | W. Lytton |
| 10:00–10:20 | Coffee break | ||
| 10:20–11:20 | Lecture 25. Networks of simplified neuron models 4 | S. van Albada | |
| 11:20–11:30 | Interval | ||
| 11:30–12:30 | Tutorial 21. Networks of biophysical neuron models tutorial 4 | W. Lytton, S. Dura-Bernal, C. Romaro and N. Kamiji | |
| 12:30–14:30 | Lunch | ||
| 14:30–15:30 | Tutorial 22. NEST 4 | S. van Albada and R. Shimoura | |
| 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 16 | 09:00–10:00 | Lecture 26. Synaptic plasticity and learning 2 | G. Mato |
| 10:00–10:20 | Coffee break | ||
| 10:20–11:20 | Lecture 27. Spike train analysis 1 | C. Pouzat | |
| 11:20–11:30 | Interval | ||
| 11:30–12:30 | Invited Lecture 3. Biomimetic modeling for clinical understanding | W. Lytton | |
| 12:30–14:30 | Lunch | ||
| 14:30–15:30 | Tutorial 23. Synaptic plasticity and learning tutorial 2 | G. Mato and M. Girardi-Schappo | |
| 15:30–15:40 | Interval | ||
| 15:40–16:40 | Tutorial 24. Spike train analysis tutorial 1 | C. Pouzat | |
| 16:40–17:00 | Coffee break | ||
| 17:00–18:00 | Invited lecture 4. Large-scale spiking neural network models of primate cortical dynamics | S. van Albada | |
| 19:30–22:30 | Get together party 2 | A. Roque | |
| Fri Jan 17 | 09:00–10:00 | Lecture 28. Synaptic plasticity and learning 3 | G. Mato |
| 10:00–10:20 | Coffee break | ||
| 10:20–11:20 | Lecture 29. Spike train analysis 2 | C. Pouzat | |
| 11:20–11:30 | Interval | ||
| 11:30–12:30 | Invited lecture 5. Estimating the interaction graph of stochastic neural dynamics | A. Duarte | |
| 12:30–14:00 | Lunch | ||
| 14:00–14:30 | Invited lecture 6. Modelling and applications for computational neuroscience in Python | F. Rodriguez | |
| 14:30–15:30 | Tutorial 25. Synaptic plasticity and learning tutorial 3 | G. Mato and M. Girardi-Schappo | |
| 15:30–15:40 | Interval | ||
| 15:40–16:40 | Tutorial 26. Spike train analysis tutorial 2 | C. Pouzat | |
| 16:40–17:00 | Coffee break | ||
| 17:00–18:00 | Invited lecture 7. Cross-frequency coupling and bifurcation structures in neural network models | G. Mato | |
| 18:00–18:10 | Interval | ||
| 18:10–19:10 | Invited lecture 8. A self-organized path to critical synaptic balance | M. Girardi-Schappo | |
| 19:10–20:00 | Exercises | Tutors | |
| Sat Jan 18 | 09:00–10:00 | Lecture 30. Synaptic plasticity and learning 4 | G. Mato |
| 10:00–10:20 | Coffee break | ||
| 10:20–11:20 | Invited Lecture 9. Data-driven multiscale modeling of cortical circuits | S. Dura-Bernal | |
| 11:20–11:30 | Interval | ||
| 11:30–12:30 | Tutorial 27. Synaptic plasticity and learning tutorial 4 |
G. Mato and M. Girardi-Schappo | |
| 12:30– | Rest of day free | ||
| Sun Jan 19 | Day off | ||
| Mon Jan 20 | 09:00–10:00 | Lecture 31. Spike train analysis 3 | C. Pouzat |
| 10:00–10:20 | Coffee break | ||
| 10:20–11:20 | Lecture 32. Computational modeling of local field potentials 1 | G. Einevoll | |
| 11:20–11:30 | Interval | ||
| 11:30–12:30 | Lecture 33. Time and space in the brain 1 | E. Kropff | |
| 12:30–14:30 | Lunch | ||
| 14:30–15:30 | Tutorial 28. Spike train analysis tutorial 3 | C. Pouzat | |
| 15:30–15:40 | Interval | ||
| 15:40–16:40 | Lecture 34. Computational modeling of local field potentials 2 | G. Einevoll | |
| 16:40–17:00 | Coffee break | ||
| 17:00–18:00 | Invited lecture 10. Visual alpha generation in a spiking thalamocortical microcircuit model | R. Shimoura | |
| 18:00–20:00 | Exercises and project work | Tutors | |
| Tue Jan 21 | 09:00–10:00 | Lecture 35. Spike train analysis 4 | C. Pouzat |
| 10:00–10:20 | Coffee break | ||
| 10:20–11:20 | Tutorial 29. Computational modeling of local field potentials tutorial 1 | G. Einevoll | |
| 11:20–11:30 | Interval | ||
| 11:30–12:30 | Lecture 36. Time and space in the brain 2 | E. Kropff | |
| 12:30–14:30 | Lunch | ||
| 14:30–15:30 | Tutorial 30. Spike train analysis tutorial 4 | C. Pouzat | |
| 15:30–15:40 | Interval | ||
| 15:40–16:40 | Tutorial 31. Computational modeling of local field potentials tutorial 2 | G. Einevoll | |
| 16:40–17:00 | Coffee break | ||
| 17:00–18:00 | Invited lecture 11. Computational methods and the time perception | M. Reyes | |
| 18:00–20:00 | Exercises and project work | Tutors | |
| Wed Jan 22 | 09:00–10:00 | Lecture 37. Computational modeling of local field potentials 2 | G. Einevoll |
| 10:00–10:20 | Coffee break | ||
| 10:20–11:20 | Lecture 38. Brain stimulation: principles and challenges 1 | R. Ilmoniemi | |
| 11:20–11:30 | Interval | ||
| 11:30–12:30 | Lecture 39. Time and space in the brain 3 | E. Kropff | |
| 12:30–14:30 | Lunch | ||
| 14:30–15:30 | Tutorial 32. Computational modeling of local field potentials tutorial 3 | G. Einevoll | |
| 15:30–15:40 | Interval | ||
| 15:40–16:40 | Lecture 40. Predictive coding in the retina 1 | R. Cofre | |
| 16:40–17:00 | Coffee break | ||
| 17:00–18:00 | Invited lecture 12. Reproducible Research: What is it? Why should we do it? How? |
C. Pouzat | |
| 18:00–20:00 | Exercises and project work | Tutors | |
| Thu Jan 23 | 09:00–10:00 | Lecture 41. Brain stimulation: principles and challenges 2 | R. Ilmoniemi |
| 10:00–10:20 | Coffee break | ||
| 10:20–11:20 | Lecture 42. Predictive coding in the retina 2 | R. Cofre | |
| 11:20–11:30 | Interval | ||
| 11:30–12:30 | Invited lecture 13. Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data | N. Hernández-González | |
| 12:30–14:30 | Lunch | ||
| 14:30–15:30 | Invited lecture 14. What can we learn from local field potentials (LFPs)? | G. Einevoll | |
| 15:30–15:40 | Interval | ||
| 15:40–16:40 | Invited lecture 15. Space, time, speed and acceleration in the brain’s GPS | E. Kropff | |
| 16:40–17:00 | Coffee break | ||
| 17:00–18:00 | Invited lecture 16. False stationary state: studies of phase transitions and metastable behavior on neuronal networks | C. Romaro | |
| 19:30–22:30 | Get together party 3 | A. Roque | |
| Fri Jan 24 | 09:00–10:00 | Lecture 43. Brain stimulation: principles and challenges 3 | R. Ilmoniemi |
| 10:00–10:20 | Coffee break | ||
| 10:20–11:20 | Lecture 44. Predictive coding in the retina 3 | R. Cofre | |
| 11:20–11:30 | Interval | ||
| 11:30–12:30 | Invited lecture 17. An overview of statistical model selection for neuroscience data | F. Najman | |
| 12:30–14:30 | Lunch | ||
| 14:30–15:30 | Invited lecture 18. New neurophysiological technologies and methods | R. Ilmoniemi | |
| 15:30–15:40 | Interval | ||
| 15:40–16:40 | Invited lecture 19. High-order interdependencies in the aging brain and entropic brain hypothesis in the DMF model in the LDS state | R. Cofre | |
| 16:40–17:00 | Coffee break | ||
| 17:00–18:00 | Invited lecture 20. Firing patterns and epileptic seizures | F. Borges | |
| 18:00–20:00 | Exercises and project work | Tutors | |
| Sat Jan 25 | Public holiday in Sao Paulo (day off) | ||
| Sun Jan 26 | Day off | ||
| Mon Jan 27 | 09:00–10:00 | Lecture 45. Connectome to behavior: lessons so far and challenges ahead 1 | E. Shlizerman |
| 10:00–10:20 | Coffee break | ||
| 10:20–11:20 | Invited lecture 21. Collor signaling in lower vertebrate retina | N. Kamiji | |
| 11:20–11:30 | Interval | ||
| 11:30–12:30 | Lecture 46. Connectome to behavior: lessons so far and challenges ahead 2 | E. Shlizerman | |
| 12:30–14:20 | Lunch | ||
| 14:20–15:30 | Student projects progress report session | A. Roque, lecturers and tutors | |
| 15:30–15:40 | Interval | ||
| 15:40–16:40 | Student projects progress report session | A. Roque, lecturers and tutors | |
| 16:40–17:00 | Coffee break | ||
| 17:00–18:00 | Student projects progress report session | A. Roque, lecturers and tutors | |
| 18:00–18:15 | Interval | ||
| 18:15–19:15 | Lecture 47. Computational psychiatry 1 | J. Murray | |
| 19:15–20:00 | Exercises and project work | Tutors | |
| Tue Jan 28 | 09:00–10:00 | Lecture 48. Connectome to behavior: lessons so far and challenges ahead 3 | E. Shlizerman |
| 10:00–10:20 | Coffee break | ||
| 10:20–11:20 | Lecture 49. Computational psychiatry 2 | J. Murray | |
| 11:20–11:30 | Interval | ||
| 11:30–12:30 | Lecture 50. Dynamics of functional connectivity 1 | D. Battaglia | |
| 12:30–14:30 | Lunch | ||
| 14:30–15:30 | Lecture 51. Connectome to behavior: lessons so far and challenges ahead 4 | E. Shlizerman | |
| 15:30–15:40 | Interval | ||
| 15:40–16:40 | Lecture 52. Dynamics of functional connectivity 2 – Part 1 | D. Battaglia | |
| 16:40–17:00 | Coffee break | ||
| 17:00–18:00 | Lecture 53. Dynamics of functional connectivity 2 – Part 2 | D. Battaglia | |
| 18:00–20:00 | Exercises and project work | Tutors | |
| Wed Jan 29 | 09:00–10:00 | Lecture 54. Computational psychiatry 3 | J. Murray |
| 10:00–10:20 | Coffee break | ||
| 10:20–11:20 | Lecture 55. Dynamics of functional connectivity 3 | D. Battaglia | |
| 11:20–11:30 | Interval | ||
| 11:30–12:30 | Tutorial 33. Computational psychiatry tutorial | J. Murray | |
| 12:30–14:30 | Lunch | ||
| 14:30–15:30 | Tutorial 34. Dynamics of functional connectivity tutorial 1 | D. Battaglia and V. Lima | |
| 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 Jan 30 | 09:00–10:00 | Invited Lecture 22. Geometry of neural computations: unifying working memory, planning, and decision making | J. Murray |
| 10:00–10:20 | Coffee break | ||
| 10:20–11:20 | Invited Lecture 23. Brain networks and information dynamics between order and randomness | D. Battaglia | |
| 11:20–11:30 | Interval | ||
| 11:30–12:30 | Invited Lecture 24. NeuroMat scientific project | A. Galves | |
| 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 Jan 31 | 08:50–09:00 | Introduction to the project presentations | A. Roque |
| 09:00–09:20 | Project presentation 1. Dynamics of tripartite synapses | M. Peña-Garcia and Kalel Rossi | |
| 09:20–09:40 | Project presentation 2. Modeling gamma frequency adaptation in neuronal systems | Natália C. B. Matos and Roberto C. Budzinski | |
| 09:40–10:00 | Project presentation 3. Analysis of synchronization parameters in an oscillatory network using NEST | Eric G. O. Rodrigues and Letícia B. Caus | |
| 10:00–10:20 | Coffee-break | ||
| 10:20–10:40 | Project presentation 4. Bifurcation analysis of alternating rhythmic oscillations in two-cell networks of mutually inhibited non-oscillatory neurons | Daniela Piña Novo and Fernando Vera | |
| 11:40–11:00 | Project presentation 5. Exploring the effect of stroboscopic light on the output of retinal direction-selective circuit | Shahab A. Zarei, Silvio J. V. Ferreira and Xiangyu Zhou | |
| 11:00–11:20 | Project presentation 6. Comparison between reduced and realistic models of motoneurons morphology and mechanisms | Ricardo G. Molinari and Marina C. Oliveira | |
| 11:20–11:30 | Interval | ||
| 11:30–11:50 | Project presentation 7. The behavior of the fear network could be affected by the intensity of the stimulus and the integrity of the network | Maria Evelina Torres García and Paula Rodrigues | |
| 11:50–12:10 | Project presentation 8. Modeling the Cl- current carried by GABAAR in oligodendrocyte precursor cells | Bruno R. R. Boaretto and Cindy Lucero García | |
| 12:10–12:30 | Project presentation 9. A computational model of major depression | Mai Gamal and Raul Palma | |
| 12:30–14:00 | Lunch | ||
| 14:00–14:20 | Project presentation 10. Computational simulation of ephaptic interactions in hippocampal pyramidal cells | Gabriela Mueller de Melo and Renata Biaggi Biazzi | |
| 14:20–14:40 | Project presentation 11. Theoretical and practical controllability in macroscopic models | Sebastián Orellana Villota and Sophie Benitez Stulz | |
| 14:40–15:00 | Project presentation 12. Propagation of LFP signals in a reward task | Jheniffer J. Gonsalves and Madalena Esteves | |
| 15:00–15:10 | Interval | ||
| 15:10–15:30 | Project presentation 13. Information transmission in intracortical circuits simulations with a focus on the cryptogenic epilepsy case | Ana Aquiles and Matías Lorenz | |
| 15:30–15:50 | Project presentation 14. Computational model of the basal amygdala in fear and extinction memory | Luana Barreto Domingos and Tawan Tayron Andrade de Carvalho | |
| 15:50–16:10 | Project presentation 15. Modeling of EEG alpha peak features using HNN-NetPyNE | Amaya Miquelajáuregui, Paulo Cabral and Arthur Valencio | |
| 16:10–16:30 | Project presentation 16. Analysis of neuronal behavior under electromagnetic induction influence | Felipe Serafim and Iago Carvalho de Almeida | |
| 16:30–16:50 | Coffee-break | ||
| 16:50–17:10 | Project presentation 17. Modeling plasticity in the olfactory network of the bee due to learning and adaptation | Federico Gascue and Gustavo Soroka | |
| 17:10–17:30 | Project presentation 18. Review on decoding synapses | Agustín Sánchez Merlinsky and Nicola Pedreschi | |
| 17:30–17:50 | Project presentation 19. Modeling the zebrafish Mauthner cell activation in response to auditory stimuli | Ana Paula Sandes de Souza and Laura Freire Lyra | |
| 17:50–18:20 | Interval | ||
| 18:20–19:30 | Closing remarks | A. Roque | |
| 20:30– | Final party | A. Roque | |
| Sat Feb 01 | 09:00– | Return home |
The student presentations have been recorded and can be seen at:
Morning presentations: https://www.youtube.com/watch?v=piW5kmoQGR4
Afternoon presentations: https://www.youtube.com/watch?v=7HZiQoWf2lw