Stochastic dynamics in the brain and probabilistic decision-making

Abstract

The stochastical spiking of neurons is a source of noise in the brain. We show that this noise is important in brain dynamics, by producing probabilistic settling into attractor states. This can account for probabilistic decision-making, which we show can be advantageous. Similar stochastical dynamics contributes to multistable states such as pattern rivalry and binocular rivalry. Stochastical dynamics also contributes to the detectability of signals in the brain that are close to threshold. Stochastical dynamics provides an interesting way to understand a number of important aspects of brain function. © Springer-Verlag Berlin Heidelberg 2009.