A simple rule for spike-timing-dependent plasticity: local influence of AHP current

Authors:
Anatoli Gorchetchnikov;Michael E. Hasselmo
Affiliations:
Department of Cognitive and Neural Systems, Boston University, 677 Beacon St. Boston, MA 02215, USA;Department of Psychology, Boston University, 64 Cummington St. Boston, MA 02215, USA
Venue:
Neurocomputing
Year:
2005

Citing 3
Cited 1

Parabolic bursting in an excitable system coupled with a slow oscillation

SIAM Journal on Applied Mathematics
Weakly connected neural networks

Weakly connected neural networks
Hebbian learning of pulse timing in the Barn Owl auditory system

Pulsed neural networks

2005 Special Issue: A model of STDP based on spatially and temporally local information: Derivation and combination with gated decay

Neural Networks - 2005 Special issue: IJCNN 2005

Quantified Score

Hi-index	0.01

Visualization

Abstract

A classical Hebbian learning rule was adapted to produce spike-timing-dependent plasticity. The shape of the plasticity curve for this rule is shown to depend on local mechanisms such as the strength and length of afterhyperpolarization of the postsynaptic cell. The suggested rule can serve as a good approximation for network models that use simplified dynamics of membrane currents.