Abstract
We show how the diffusive effects of a neuron's dendritic tree can induce a Turing-like instability in a purely excitatory or inhibitory recurrent neural network. A crucial feature of the model is the existence of a correlation between the location of a synaptic connection on the tree and the relative separation of the associated neurons within the network.
- Received 8 September 1995
DOI:https://doi.org/10.1103/PhysRevLett.76.4644
©1996 American Physical Society
