LASCON VIII Program

 

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

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