Robust implementation of a winner-takes-all mechanism in networks of spiking neurons

The winner takes it all.

W e all make mistakes from time to time. I have made my fair share, but none of my mistakes have ever won a prize. In 2002 Lundbeck breached the UK industry code of practice in the way it advertised escitalopram (Cipralex). Escitalopram is the son of citalopram (Cipramil). The company claimed that its new drug, escitalopram was more effective than citalopram, even though the two drugs have exac...

The winner takes it all

We study competing first passage percolation on graphs generated by the configuration model. At time 0, vertex 1 and vertex 2 are infected with the type 1 and the type 2 infection, respectively, and an uninfected vertex then becomes type 1 (2) infected at rate λ1 (λ2) times the number of edges connecting it to a type 1 (2) infected neighbor. Our main result is that, if the degree distribution i...

Versatile networks of simulated spiking neurons displaying winner-take-all behavior

We describe simulations of large-scale networks of excitatory and inhibitory spiking neurons that can generate dynamically stable winner-take-all (WTA) behavior. The network connectivity is a variant of center-surround architecture that we call center-annular-surround (CAS). In this architecture each neuron is excited by nearby neighbors and inhibited by more distant neighbors in an annular-sur...

Fast Winner-Takes-All Networks for the Maximum Clique Problem

Temporal sequence learning in winner-take-all networks of spiking neurons demonstrated in a brain-based device

Animal behavior often involves a temporally ordered sequence of actions learned from experience. Here we describe simulations of interconnected networks of spiking neurons that learn to generate patterns of activity in correct temporal order. The simulation consists of large-scale networks of thousands of excitatory and inhibitory neurons that exhibit short-term synaptic plasticity and spike-ti...