Weight statistics controls dynamics in recurrent neural networks
Patrick Krauß, Marc Schuster, Verena Dietrich, Achim Schilling, Holger Schulze, Claus Metzner
This paper shows that balance between excitatory and inhibitory connections in recurrent neural networks controls their dynamics, enabling optimal information processing at the edge of chaos.
PLoS ONE · Apr 9, 2019Peer-reviewedNeuroscience