Neuronal networks with NMDARs and lateral inhibition implement winner-takes-all

Neuronal networks with NMDARs and lateral inhibition implement winner-takes-all

A neural circuit that relies on the electrical properties of NMDA synaptic receptors is shown by numerical and theoretical analysis to be capable of realizing the winner-takes-all function, a powerful computational primitive that is often attributed to biological nervous systems. This biophysically-plausible model employs global lateral inhibition in a simple feedback arrangement. As its inputs...

Winner-take-all networks with lateral excitation

In this paper we present two analog VLSI circuits that implement current mode winner-take-all (WTA) networks with lateral excitation. We describe their principles of operation and compare their performance to previously proposed circuits. The desirable properties of these circuits, namely compactness, low power consumption, collective processing and robustness to noisy inputs make them ideal fo...

A lateral inhibition neural network that emulates a winner-takes-all algorithm

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...