LASCON 2024 Program

 

 

Date: Time: Activity: Coordinator(s):
Sun Jan 7 14:00–22:00 Arrival day A. Roque
Mon Jan 8 09:00–10:00 Lecture 1. Introduction to LASCON and computational neuroscience W. Lytton
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 H. Rotstein
12:30–14:30 Lunch
14:30–15:30 Tutorial 1. PYTHON tutorial M. Girardi-Schappo
15:30–15:40 Interval
15:40–16:40 Tutorial 2. Software installation tutorial M. Girardi-Schappo
16:40–17:00 Coffee break
17:00–18:00 Tutorial 3. NEURON 1 A. Roth
18:00–20:00 Exercises Tutors
Tue Jan 9 09:00–10:00 Lecture 4. Modeling ionic currents and their effects H. Rotstein
10:00–10:20 Coffee break
10:20–11:20 Lecture 5. Matching passive neuron models to data 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 and V. Bragin
15:30–15:40 Interval
15:40–16:40 Tutorial 5. NEURON 3 A. Roth and V. Bragin
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 10 09:00–10:00 Lecture 7. Compartmental modeling H. Rotstein
10:00–10:20 Coffee break
10:20–11:20 Lecture 8. Modeling synapses 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 and V. Bragin
15:30–15:40 Interval
15:40–16:40 Tutorial 8. NEURON 5 A. Roth and V. Bragin
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 11 09:00–10:00 Lecture 10. Dendritic computation A. Roth
10:00–10:20 Coffee break
10:20–11:20 Lecture 11. Reduced and simplified neuron models and phase plane analysis 3 H. Rotstein
11:20–11:30 Interval
11:30–12:30 Lecture 12. Networks of biophysical neuron models 1 W. Lytton
12:30–14:30 Lunch
14:30–15:30 Tutorial 10. Reduced and simplified neuron models and phase plane analysis tutorial 3 H. Rotstein and M. Girardi-Schappo
15:30–15:40 Interval
15:40–16:40 Tutorial 11. Networks of biophysical neuron models tutorial 1 V. Bragin
16:40–17:00 Coffee break
17:00–18:00 Invited lecture 1. Functional connectomics A. Roth
19:30–22:30 Get together party 1 A. Roque
Fri Jan 12 09:00–10:00 Lecture 13. Reduced and simplified neuron models and phase plane analysis 4 H. Rotstein
10:00–10:20 Coffee break
10:20–11:20 Lecture 14. Networks of biophysical neuron models 2 W. Lytton
11:20–11:30 Interval
11:30–12:30 Lecture 15. Networks of simplified neuron models 1 H. E. Plesser
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. Networks of biophysical neuron models tutorial 2 V. Bragin
16:40–17:00 Coffee break
17:00–18:00 Tutorial 14. NEST 1 H. E. Plesser
18:00–20:00 Discussion session: Career perspectives in computational neuroscience Lecturers, tutors and students
Sat Jan 13 09:00–10:00 Lecture 16. Networks of biophysical neuron models 3 W. Lytton
10:00–10:20 Coffee break
10:20–11:20 Invited lecture 2. Resonance-based mechanisms of generation of oscillations in networks of non-oscillatory neurons H. Rotstein
11:20–11:30 Interval
11:30–12:30 Lecture 17. Networks of simplified neuron models 2 H. E. Plesser
Free afternoon
Sun Jan 14 Day off
Mon Jan 15 09:00–10:00 Lecture 18. Synaptic plasticity and learning 1 G. Mato
10:00–10:20 Coffee break
10:20–11:20 Lecture 19. Modeling neuron-glia interactions 1 M-L. Linne
11:20–11:30 Interval
11:30–12:30 Lecture 20. Synaptic plasticity and learning 2 G. Mato
12:30–14:30 Lunch
14:30–15:30 Tutorial 15. Networks of biophysical neuron models tutorial 3 V. Bragin
15:30–15:40 Interval
15:40–16:40 Tutorial 16. NEST 2 H. E. Plesser
16:40–17:00 Coffee break
17:00–18:00 Tutorial 17. Synaptic plasticity and learning tutorial 1 G. Mato
18:00–20:00 Exercises Tutors
Tue Jan 16 09:00–10:00 Lecture 21. Networks of biophysical neuron models 4 W. Lytton
10:00–10:20 Coffee break
10:20–11:20 Lecture 22. Networks of simplified neuron models 3 H. E. Plesser
11:20–11:30 Interval
11:30–12:30 Lecture 23. Synaptic plasticity and learning 3 G. Mato
12:30–14:30 Lunch
14:30–15:30 Tutorial 18. NEST 3 H. E. Plesser
15:30–15:40 Interval
15:40–16:40 Tutorial 19. Synaptic plasticity and learning tutorial 2 G. Mato
16:40–17:00 Coffee break
17:00–18:00 Tutorial 20: Modeling neuron-glia interactions tutorial 1 M-L. Linne
18:00–20:00 Exercises Tutors
Wed Jan 17 09:00–10:00 Lecture 24. Networks of simplified neuron models 4 H. E. Plesser
10:00–10:20 Coffee break
10:20–11:20 Lecture 25. Modeling neuron-glia interactions 2 M-L. Linne
11:20–11:30 Interval
11:30–12:30 Tutorial 21. Networks of biophysical neuron models tutorial 4 V. Bragin
12:30–14:30 Lunch
14:30–15:30 Tutorial 22. NEST 4 H. E. Plesser
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 26. Synaptic plasticity and learning 4 G. Mato
10:00–10:20 Coffee break
10:20–11:20 Lecture 27. Modeling neuron-glia interactions 3 M-L. Linne
11:20–11:30 Interval
11:30–12:30 Invited Lecture 3. Modeling neurons, astrocytes and synaptic plasticity to understand brain network and vasculature dynamics M-L. Linne
12:30–14:30 Lunch
14:30–15:30 Invited lecture 4. H. E. Plesser
15:30–15:40 Interval
15:40–16:40 Tutorial 23. Synaptic plasticity and learning tutorial 3 G. Mato
16:40–17:00 Coffee break
17:00–18:00 Tutorial 24. Modeling neuron-glia interactions tutorial 2 M-L. Linne
19:30–22:30 Get together party 2 A. Roque
Fri Jan 19 09:00–10:00 Lecture 28. Probabilistic spiking neuronal networks 1 C. Pouzat
10:00–10:20 Coffee break
10:20–11:20 Invited lecture 5. Biomimetic modeling for clinical understanding W. Lytton
11:20–11:30 Interval
11:30–12:30 Invited lecture 6. Orientation selectivity in rodent V1: theory vs experiments G. Mato
12:30–14:30 Lunch
14:30–15:30 Lecture 29. Computational modeling of local field potentials 1 G. Einevoll
15:30–15:40 Interval
15:40–16:40 Lecture 30. Probabilistic spiking neuronal networks 2 C. Pouzat
16:40–17:00 Coffee break
17:00–18:00 Invited lecture 7. Adaptive networks: input encoding and learning M. Girardi-Schappo
18:00–20:00 Exercises and project work Tutors
Sat Jan 20 09:00–10:00 Lecture 31. Computational modeling of local field potentials 2 G. Einevoll
10:00–10:20 Coffee break
10:20–11:20 Tutorial 25. Probabilistic spiking neuronal networks tutorial 1 C. Pouzat
11:20–11:30 Interval
11:30–12:30 Tutorial 26. Computational modeling of local field potentials tutorial 1
G. Einevoll
Free afternoon
Sun Jan 21 Day off
Mon Jan 22 09:00–10:00 Lecture 32. Spike train analysis 1 J. Ito
10:00–10:20 Coffee break
10:20–11:20 Lecture 33. Probabilistic spiking neuronal networks 3 C. Pouzat
11:20–11:30 Interval
11:30–12:30 Tutorial 27. Spike train analysis tutorial 1 J. Ito
12:30–14:30 Lunch
14:30–15:30 Lecture 34. Computational modeling of local field potentials 3 G. Einevoll
15:30–15:40 Interval
15:40–20:00 Special session in honor to Antonio Galves
15:40–16:40 A tribute to Antonio Galves A. Roque
16:40–17:00 Coffee break
17:00–18:00 Invited lecture 8. Modeling functional and categorical data driven by context tree models A. Duarte
18:00–18:10 Interval
18:10–19:10 Invited lecture 9. A quasi-stationary approach to metastability in a system of spiking neurons with synaptic plasticity C. Pouzat
19:10–20:00 Exercises and project work Tutors
Tue Jan 23 09:00–10:00 Lecture 35. Spike train analysis 2 J. Ito
10:00–10:20 Coffee break
10:20–11:20 Lecture 36. Probabilistic spiking neuronal networks 4 C. Pouzat
11:20–11:30 Interval
11:30–12:30 Tutorial 28. Spike train analysis tutorial 2 J. Ito
12:30–14:30 Lunch
14:30–15:30 Lecture 37. Structural learning by the brain 1 A. Duarte
15:30–15:40 Interval
15:40–16:40 Tutorial 29. Computational modeling of local field potentials tutorial 2 G. Einevoll
16:40–17:00 Coffee break
17:00–18:00 Tutorial 30. Probabilistic spiking neuronal networks tutorial 2 C. Pouzat
18:00–20:00 Exercises and project work Tutors
Wed Jan 24 09:00–10:00 Lecture 38. Spike train analysis 3 J. Ito
10:00–10:20 Coffee break
10:20–11:20 Lecture 39. Structural learning by the brain 2 A. Duarte
11:20–11:30 Interval
11:30–12:30 Lecture 40. Brain criticality 1 M. Copelli
12:30–14:30 Lunch
14:30–15:30 Tutorial 31. Spike train analysis tutorial 3 J. Ito
15:30–15:40 Interval
15:40–16:40 Tutorial 32. Computational modeling of local field potentials tutorial 3 G. Einevoll
16:40–17:00 Coffee break
17:00–18:00 Exercises and project work Tutors
18:00–20:00 Exercises and project work Tutors
Thu Jan 25 09:00–10:00 Lecture 41. Spike train analysis 4 J. Ito
10:00–10:20 Coffee break
10:20–11:20 Lecture 42. Population models of spiking neural networks 1 T. Schwalger
11:20–11:30 Interval
11:30–12:30 Invited lecture 10. Modeling of electric and magnetic brain signals: applications G. Einevoll
12:30–14:30 Lunch
14:30–15:30 Lecture 43. Brain criticality 2 M. Copelli
15:30–15:40 Interval
15:40–16:40 Lecture 44. Structural learning by the brain 3 A. Duarte
16:40–17:00 Coffee break
17:00–18:00 Tutorial 33. Spike train analysis tutorial 4 J. Ito
19:30–22:30 Get together party 3 A. Roque
Fri Jan 26 09:00–10:00 Lecture 45. Population models of spiking neural networks 2 T. Schwalger
10:00–10:20 Coffee break
10:20–11:20 Lecture 46. Brain criticality 3 M. Copelli
11:20–11:30 Interval
11:30–12:30 Lecture 47. Computational psychiatry 1 J. Murray
12:30–14:30 Lunch
14:30–15:30 Tutorial 34. Population models of spiking neural networks tutorial T. Schwalger
15:30–15:40 Interval
15:40–16:40 Invited talk 11. J. Ito
16:40–17:00 Coffee break
17:00–18:00 Invited lecture 12. Synchronization in cortical networks F. Borges
18:00–20:00 Exercises and project work Tutors
Sat Jan 27 Day off
Sun Jan 28 Day off
Mon Jan 29 09:00–10:00 Lecture 48. Population models of spiking neural networks 3 T. Schwalger
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. Traveling waves in neural systems 1 L. Muller
12:30–14:30 Lunch
14:30–15:30 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
17:00–18:0 Student projects progress report session A. Roque, lecturers and tutors
18:00–18:10 Interval
18:10–19:10 Student projects progress report session A. Roque, lecturers and tutors
19:10–19:20 Interval
19:20–20:00 Student projects progress report session A. Roque, lecturers and tutors
Tue Jan 30 09:00–10:00 Lecture 51.  Computational psychiatry 3 J. Murray
10:00–10:20 Coffee break
10:20–11:20 Lecture 52. Traveling waves in neural systems 2 L. Muller
11:20–11:30 Interval
11:30–12:30 Lecture 53. Dynamics of functional connectivity 1 D. Battaglia
12:30–14:30 Lunch
14:30–15:30 Tutorial 35. Computational psychiatry tutorial J. Murray
15:30–15:40 Interval
15:40–16:40 Tutorial 36. Traveling waves in neural systems tutorial L. Muller and R. Budzinski
16:40–17:00 Coffee break
17:00–18:00 Invited lecture 13. T. Schwalger
18:00–20:00 Exercises and project work Tutors
Wed Jan 31 09:00–10:00 Invited lecture 14. R. Budzinski
10:00–10:20 Coffee break
10:20–11:20 Lecture 54. Dynamics of functional connectivity 2 D. Battaglia
11:20–11:30 Interval
11:30–12:30 Invited lecture 15. J. Murray
12:30–14:30 Lunch
14:30–15:30 Tutorial 37. Dynamics of functional connectivity tutorial 1 D. Battaglia
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 Lecture 55. Dynamics of functional connectivity 3 D. Battaglia
10:00–10:20 Coffee break
10:20–11:20 Invited lecture 16. L. Muller
11:20–11:30 Interval
11:30–12:30 Invited lecture 17. 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
Fri Feb 02 08:50–09:00 Introduction to the project presentations A. Roque
09:00–09:20 Project presentation 1. Using an AdEx neural network to understand impaired gamma oscillations in psychological disorders P. R. Pinheiro and S. McElroy
09:20–09:40 Project presentation 2. Defects and abnormal plasticity influence in a random network using NetPyNE D. L. M. Souza and R. S. Corrêa
09:40–10:00 Project presentation 3. Dendritic tree morphology effects on information processing at a cell level: Pyramidal and Purkinje cel H. Tolle and G. Menesse
10:00–10:20 Coffee-break
10:20–10:40 Project presentation 4. Modelling astrocyte Ca2+ dynamics as an integrator of synaptic activity P. Rodriguez and T. O. Bezerra
10:40–11:00 Project presentation 5. A thalamocortical model of post-sleep memory improvement B. V. Tiburcio, C. Saini and F. R. Rusch
11:00–11:20 Project presentation 6. Modeling the electrophysiological activity of somatosensory cortex neural column with and without
mechanisms of short-term plasticity using NetPyNE
programming tool
G. Soghoyan and R. Plüss
11:20–11:30 Interval
11:30–11:50 Project presentation 7. Computational modeling of neuronal membrane potential
using the adaptive exponential integrate-and-fire (AdEx)
model to investigate hyper-excitability in individuals
with epilepsy
H. C. G. Arruda and K. V. P. Brito
11:50–12:10 Project presentation 8. A compartmental model of C. Elegans motor and sensory
neurons
P. M. Orglmeister and A. Kanakam
12:10–12:30 Project presentation 9. Comparison of bursting in the HH in the K-channel in
pituitary corticotrophs
A. Pliego-Carrillo and S. Lam-Rhâmidda
12:30–14:30 Lunch
14:30–14:50 Project presentation 10. Investigation of extracellular stimulation in oscilating
networks
J. H. de Sant’Ana and A. O. Del Rey
14:50–15:10 Project presentation 11. Mean-field analysis for the transformation of populational code into place code in inhibition-dominated networks of spiking neurons L. M. Takarabe and E. Vinícius
15:10–15:30 Project presentation 12. Studying spiking activity in a spatially inhomogenous
network
G. G. Cambrainha and T. Bosch M.
15:30–15:40 Interval
15:40–16:00 Project presentation 13. How connectivity between neuronal populations impact
on signal coherence
G. R. M. Almeida and M. M. Florentino
16:00–16:20 Project presentation 14. Modeling and simulating the PK/PD effects of benzodiazepines on inhibiting synapses of hippocampal
pyramidal cells
C. Mendes and G. Preti
16:20–16:40 Project presentation 15. Reproduction and adaptation of Wacongne’s neuronal
model of mismatch negativity
J. M. G. L. Silva and J. G. Borges
16:40–17:00 Coffee-break
17:00–17:20 Project presentation 16. Towards biological implementation of Bayesian inference in spiking neural networks F. Emina and D. Kienigiel
17:20–17:40 Project presentation 17. Dynamics of neural networks of excitatory and inhibitory
neurons
M. Acevedo and V. Agulló
17:40–18:00 Project presentation 18. Evaluation of Wnt/A pathway modulation on CA3-CA1
synaptic plasticity model
H. Villota and K. Avilez
18:00–18:10 Interval
18:10–18:30 Project presentation 19. Dendritic growth in granule cells of epileptic dentate
gyrus
A. Chira-Ramirez and C. Medina-Saldivar
18:30–18:50 Project presentation 20. NetPyNE exploration of hippocampus CA1 microcircuit: toward epileptic-like LFPs A. Aguilera-Soza and A. F. Cadena
18:50–19:20 Interval. Evaluation of student projects by lecturers A. Roque and lecturers
19:20–20:20 Certificate delivery ceremony. Closing remarks. Book prize announcement A. Roque
21:00– Final party A. Roque
Sat Feb 03 09:00– Return home

 

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