Precise Synaptic Efficacy Alignment Suggests Potentiation Dominated Learning

Frontiers in Neural Circuits
Christoph HartmannJochen Triesch

Abstract

Recent evidence suggests that parallel synapses from the same axonal branch onto the same dendritic branch have almost identical strength. It has been proposed that this alignment is only possible through learning rules that integrate activity over long time spans. However, learning mechanisms such as spike-timing-dependent plasticity (STDP) are commonly assumed to be temporally local. Here, we propose that the combination of temporally local STDP and a multiplicative synaptic normalization mechanism is sufficient to explain the alignment of parallel synapses. To address this issue, we introduce three increasingly complex models: First, we model the idealized interaction of STDP and synaptic normalization in a single neuron as a simple stochastic process and derive analytically that the alignment effect can be described by a so-called Kesten process. From this we can derive that synaptic efficacy alignment requires potentiation-dominated learning regimes. We verify these conditions in a single-neuron model with independent spiking activities but more realistic synapses. As expected, we only observe synaptic efficacy alignment for long-term potentiation-biased STDP. Finally, we explore how well the findings transfer to recurrent...Continue Reading

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Citations

Mar 29, 2020·Frontiers in Synaptic Neuroscience·Mayte Bonilla-QuintanaMichael Fauth

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Methods Mentioned

BETA
electron microscopy

Software Mentioned

BRIAN
ipython

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