Probabilistic inference of short-term synaptic plasticity in neocortical microcircuits

Costa, Rui P. and Sjöström, P. Jesper and van Rossum, Mark C.W. (2013) Probabilistic inference of short-term synaptic plasticity in neocortical microcircuits. Frontiers in Computational Neuroscience, 7 . p. 75. ISSN 1662-5188

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Abstract

Short-term synaptic plasticity is highly diverse across brain area, cortical layer, cell type, and developmental stage. Since short-term plasticity (STP) strongly shapes neural dynamics, this diversity suggests a specific and essential role in neural information processing. Therefore, a correct characterization of short-term synaptic plasticity is an important step towards understanding and modeling neural systems. Phenomenological models have been developed, but they are usually fitted to experimental data using least-mean-square methods. We demonstrate that for typical synaptic dynamics such fitting may give unreliable results. As a solution, we introduce a Bayesian formulation, which yields the posterior distribution over the model parameters given the data. First, we show that common STP protocols yield broad distributions over some model parameters. Using our result we propose a experimental protocol to more accurately determine synaptic dynamics parameters. Next, we infer the model parameters using experimental data from three different neocortical excitatory connection types. This reveals connection-specific distributions, which we use to classify synaptic dynamics. Our approach to demarcate connection-specific synaptic dynamics is an important improvement on the state of the art and reveals novel features from existing data.

Item Type: Article
Keywords: short-term synaptic plasticity, probabilistic inference, neocortical circuits, experimental design, parameter estimation
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Mathematical Sciences
University of Nottingham, UK > Faculty of Science > School of Psychology
Identification Number: 10.3389/fncom.2013.00075
Depositing User: Van Rossum, Mark
Date Deposited: 08 Feb 2018 13:06
Last Modified: 08 Feb 2018 13:11
URI: http://eprints.nottingham.ac.uk/id/eprint/49637

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