Connectionists: What can you do with 1000 neurons?

[Nicolas P. Rougier (inria)]

Dear all,

There exists a lot of computational models of decision making that can
give account on this or that experimental data. The question is
whether we can adapt these models to solve an actual decision task?
You'll find at https://github.com/rougier/braincraft the rules of a
simple decision making challenge. Roughly, you have have 1000 neurons
(leaky rate models), 100 seconds of training time and 10 runs for
evaluation. The difficulty comes from the imposed constraints.

The first challenge runs from now until August 31 and we'll see if it
can be solved (one way or the other).

Best,
Nicolas Rougier

-- 
Nicolas P. Rougier —— www.labri.fr/perso/nrougier
Institute of Neurodegenerative Diseases, Bordeaux