Derivation of a neural field model from a network of theta neurons

作者：Laing Carlo R^*

来源：Physical Review E, 2014, 90(1): 010901.

DOI：10.1103/PhysRevE.90.010901

Neural field models are used to study macroscopic spatiotemporal patterns in the cortex. Their derivation from networks of model neurons normally involves a number of assumptions, which may not be correct. Here we present an exact derivation of a neural field model from an infinite network of theta neurons, the canonical form of a type I neuron. We demonstrate the existence of a %26quot;bump%26quot; solution in both a discrete network of neurons and in the corresponding neural field model.

• 出版日期2014-7-28