Summary

International Symposium on Nonlinear Theory and its Applications

2005

Session Number:4-2-4

Session:

Number:4-2-4-2

Hebbian and Coincident Learning Dynamics at Proximal and Distal Dendrites in A Hippocampal Neuron

Kimitaka Kaneki,  Osamu Araki,  Minoru Tsukada,  

pp.325-328

Publication Date:2005/10/18

Online ISSN:2188-5079

DOI:10.34385/proc.40.4-2-4-2

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Summary:
In hippocampal CA1 pyramidal neurons, action potentials are backpropagated into the dendrite, which affects the induction of synaptic plasticity. Recent studies report that these dendritic backpropagating action potentials are dichotomy and regulated depending on the distance from the soma. According to these studies, we assume that the dynamics of synaptic modification in a hippocampal CA1 pyramidal neuron has a difference between proximal dendrite (PD) and distal dendrite (DD): a rule of synaptic modification in PD depends on pre- and postsynaptic neuron’s spike timing ("Hebbian learning rule"), and in DD depends on the coincidence between presynaptic neurons’ spikes("coincident learning rule"). In computer simulations, we investigate characteristics of synaptic plasticity on these dynamics. The results showed that the only synapses on PD which receive synchronous spikes were strengthened. But on DD, not only synapses which receive synchronous spikes but also other synapses which receive asynchronous spikes are strengthened, in spite of low frequency. These results suggest that spatial information of higher frequency are mainly coded by the Hebbian rule on PD and temporal information of spike patterns are mainly coded by the coincident rule on DD.