Perceptron learning rule derived from spike-frequency adaptation and spike-time-dependent plasticity.

ABSTRACT: It is widely believed that sensory and motor processing in the brain is based on simple computational primitives rooted in cellular and synaptic physiology. However, many gaps remain in our understanding of the connections between neural computations and biophysical properties of neurons. Here, we show that synaptic spike-time-dependent plasticity (STDP) combined with spike-frequency adaptation (SFA) in a single neuron together approximate the well-known perceptron learning rule. Our calculations and integrate-and-fire simulations reveal that delayed inputs to a neuron endowed with STDP and SFA precisely instruct neural responses to earlier arriving inputs. We demonstrate this mechanism on a developmental example of auditory map formation guided by visual inputs, as observed in the externa

SUBMITTER: D'Souza P 

PROVIDER: S-EPMC2842046 | biostudies-literature | 2010 Mar

REPOSITORIES: biostudies-literature