Modeling L-LTP based on changes in concentration of pCREB transcription factor

Authors:
Lubica Benuskova;Nikola Kasabov
Affiliations:
Knowledge Engineering & Discovery Research Institute, Auckland University of Technology, 581-585 Great South Road, Penrose, Auckland, New Zealand;Knowledge Engineering & Discovery Research Institute, Auckland University of Technology, 581-585 Great South Road, Penrose, Auckland, New Zealand
Venue:
Neurocomputing
Year:
2007

Citing 2
Cited 4

Relating STDP to BCM

Neural Computation
Simple model of spiking neurons

IEEE Transactions on Neural Networks

Fast and adaptive network of spiking neurons for multi-view visual pattern recognition

Neurocomputing
Integrative connectionist learning systems inspired by nature: current models, future trends and challenges

Natural Computing: an international journal
Modeling of associative dynamics in hippocampal contributions to heuristic decision making

ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
SWAT: a spiking neural network training algorithm for classification problems

IEEE Transactions on Neural Networks

Quantified Score

Hi-index	0.01

Visualization

Abstract

We simulate the induction and maintenance of late long-term potentiation (L-LTP) in the hippocampal dentate gyrus by means of a new synaptic plasticity rule that is the result of combination of the spike-timing-dependent plasticity (STDP) and the moving LTD/LTP threshold @q"M from the Bienenstock, Cooper and Munro (BCM) theory of synaptic plasticity. We propose the activity-dependent functional equation for @q"M to be based on two processes: (1) fast process that depends on average postsynaptic spike count and (2) slow process that is a function of concentration of phosphorylated CREB (cAMP-responsive element binding) transcription factor, activation of which induces gene expression to maintain L-LTP. In the end, we propose a new, more general form of synaptic plasticity rule, which is applicable to any form of activity-dependent synaptic plasticity.