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Probabilistic inference of short-term synaptic plasticity in neocortical microcircuits

Costa, Rui P.; Sjöström, P. Jesper; van Rossum, Mark C.W.

Authors

Rui P. Costa

P. Jesper Sjöström

Mark C.W. van Rossum



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.

Journal Article Type Article
Publication Date Jun 6, 2013
Journal Frontiers in Computational Neuroscience
Electronic ISSN 1662-5188
Publisher Frontiers Media
Peer Reviewed Peer Reviewed
Volume 7
APA6 Citation Costa, R. P., Sjöström, P. J., & van Rossum, M. C. (2013). Probabilistic inference of short-term synaptic plasticity in neocortical microcircuits. Frontiers in Computational Neuroscience, 7, https://doi.org/10.3389/fncom.2013.00075
DOI https://doi.org/10.3389/fncom.2013.00075
Keywords short-term synaptic plasticity, probabilistic inference, neocortical circuits, experimental design, parameter estimation
Publisher URL https://www.frontiersin.org/articles/10.3389/fncom.2013.00075/full
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0





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