The role of working memory mechanisms in speech recognition
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2021-07-02
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en
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Abstract
Spiking neural networks are build from relevant neuro-biologically inspired mechanisms. Complex
dynamics and network structures create models that can be used to make inferences about
the existing knowledge pool on psycho-linguistics and neuroscience. This paper discusses working
memory mechanisms and how they can be implemented in spiking neural models for a speech
recognition task. Several mechanisms are discussed, that are all based on known phenomena in
the brain. By comparing classi cation scores on states of the network during word representation,
the performance of models with several working memory mechanisms is compared. These
mechanisms are neuronal adaptation, implemented with an adaptive current, and short-term
synaptic plasticity, implemented through a phenomenological model.
It is concluded that the dynamics of the neuronal adaptation and short-term synaptic plasticity
interact within the network. In particular, it is shown that the interactions between these
mechanisms have di ering e ects on learning in the network.
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Faculteit der Sociale Wetenschappen