Program

13/11 - Tuesday

Time Activity
14:30 - 16:00 Discussion on the two points raised by M. Diesmann on NeuroMat's
Statement of Impact. (see the attached notes)
  1. Putting together mathematical and simulation results on computational models
    for neural systems.
  2. The origin of stochasticity in neural systems
Discussion with A. Galves, A. Roque, C. Pouzat, J. Stolfi, O. Kinouchi.
16:00 - 17:00 Coffee-break and informal discussion


14/11 - Wednesday

Time Activity
09:00 - 10:00 M. Diesmann - keynote speech: Multi-area models at cellular resolution with
digitized workflows as a platform for advancing mathematical concepts of
brain function.
10:00 - 10:30 Coffee-break
10:30 - 11:30 A. Duarte and G. Ost - Tutorial: Basic mathematical results concerning the
GL model
11:30 - 12:10 R. Pena - Differences between stochastic and deterministic spiking neural
network models
12:10 - 14:30 Lunch break
14:30 - 15:30 A. Roque - SimLab Progress Report
Diabolorum Advocati: J. Stolfi and O. Kinouchi
15:30 - 16:00 Coffee break
16:00 - 18:00 Round table: Modeling neural nets using interacting stochastic chains
with memory of variable length.
Weak and strong points of the model. The origin of stochasticity.
How to fit models to data?
Open discussion with all the participants. A. Roque (chair)
18:00 - 18:15 A. Galves - Final address
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