Developmental Emergence of Sparse Coding: A Dynamic Systems Approach.

ABSTRACT: During neocortical development, network activity undergoes a dramatic transition from largely synchronized, so-called cluster activity, to a relatively sparse pattern around the time of eye-opening in rodents. Biophysical mechanisms underlying this sparsification phenomenon remain poorly understood. Here, we present a dynamic systems modeling study of a developing neural network that provides the first mechanistic insights into sparsification. We find that the rest state of immature networks is strongly affected by the dynamics of a transient, unstable state hidden in their firing activities, allowing these networks to either be silent or generate large cluster activity. We address how, and which, specific developmental changes in neuronal and synaptic parameters drive sparsification. We a

SUBMITTER: Rahmati V 

PROVIDER: S-EPMC5638906 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature