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Fine-Grained Channel Pruning for Deep Residual Neural Networks Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Dendritic Computation in a Point Neuron Model

Authors : Alexander Vandesompele, Francis Wyffels, Joni Dambre

Published in: Artificial Neural Networks and Machine Learning – ICANN 2020

Publisher: Springer International Publishing

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Abstract

Biological neurons possess elaborate dendrites that perform elaborate computations. They are however ignored in the widely used point neuron models. Here, we present a simple addition to the commonly used leaky integrate-and-fire model that introduces the concept of a dendrite. All synapses on the dendrite have a mutual relationship. The result is a form of short term plasticity in which synapse strengths are influenced by recent activity in other synapses. This improves the ability of the neuron to recognize temporal sequences.

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Metadata
Title
Dendritic Computation in a Point Neuron Model
Authors
Alexander Vandesompele
Francis Wyffels
Joni Dambre
Copyright Year
2020
Book
Artificial Neural Networks and Machine Learning – ICANN 2020

Print ISBN: 978-3-030-61615-1

Electronic ISBN: 978-3-030-61616-8

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-61616-8_48

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