Enforcing balance allows local supervised learning in spiking recurrent networks

no code implementations • NeurIPS 2015 • Ralph Bourdoukan, Sophie Denève

The fast connections learn to balance excitation and inhibition using a voltage-based plasticity rule.

Learning optimal spike-based representations

no code implementations • NeurIPS 2012 • Ralph Bourdoukan, David Barrett, Sophie Deneve, Christian K. Machens

We define a loss function for the quality of the population read-out and derive the dynamical equations for both neurons and synapses from the requirement to minimize this loss.