The Right Delay: Detecting spike patterns with STDP and axonal delays
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2010-04-28
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en
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Abstract
Axonal conduction delays are often ignored in simulations of spiking
neural networks. Here, models of spiking neural networks with spike-
timing-dependent plasticity, and conduction delays, are used in three sim-
ulation experiments. The first two are based on studies by Masquelier
et al. [10, 11], and the third is an expansion on their work. First, it
is confirmed that a neuron can learn to detect the start of a repeating
spatio-temporal spike pattern. Then, we confirm that multiple neurons
can learn to detect multiple patterns, when they compete with each other
through lateral inhibition. Finally, we show in a new experiment that by
using axonal conduction delays, we can make a neuron sensitive to specific
spatio-temporal spike patterns.
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Faculteit der Sociale Wetenschappen