Synaptic organizations and dynamical properties of weakly connected neural oscillators Synaptic organizations and dynamical properties of weakly connected neural oscillators. Here we analyze learning processes in such networks.
Synapses modify slowly relative to characteristic neuron response times.
Our major goal is to analyze all synaptic organizations of oscillatory neural networks that can memorize and retrieve phase information or time delays. We show that such networks have the following attributes The rate of synaptic plasticity connected with learning is determined locally by the pre-synaptic neurons. The excitatory neurons must be long-axon relay neurons capable of forming distant connections with other excitatory and inhibitory neurons. If inhibitory neurons have long axons, then the network can learn, passively forget and actively unlearn information by adjusting synaptic plasticity rates. This page has been visited times since February 25, 1998.