Bridging structure and function : a model of sequence learning and prediction in primary visual cortex

  • Recent experiments have demonstrated that visual cortex engages in spatio-temporal sequence learning and prediction. The cellular basis of this learning remains unclear, however. Here we present a spiking neural network model that explains a recent study on sequence learning in the primary visual cortex of rats. The model posits that the sequence learning and prediction abilities of cortical circuits result from the interaction of spike-timing dependent plasticity (STDP) and homeostatic plasticity mechanisms. It also reproduces changes in stimulus-evoked multi-unit activity during learning. Furthermore, it makes precise predictions regarding how training shapes network connectivity to establish its prediction ability. Finally, it predicts that the adapted connectivity gives rise to systematic changes in spontaneous network activity. Taken together, our model establishes a new conceptual bridge between the structure and function of cortical circuits in the context of sequence learning and prediction.
Author:Christian KlosORCiD, Daniel Miner, Jochen TrieschORCiD
Pubmed Id:
Parent Title (English):PLoS Computational Biology
Publisher:Public Library of Science
Place of publication:San Francisco, Calif.
Contributor(s):Abigail Morrison
Document Type:Article
Year of Completion:2018
Date of first Publication:2018/06/05
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2018/06/19
Tag:Action potentials; Learning; Neural networks; Neuronal plasticity; Neurons; Synapses; Synaptic plasticity; Visual cortex
Issue:(6): e1006187
Page Number:22
First Page:1
Last Page:22
Copyright: © 2018 Klos et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Institutes:Physik / Physik
Wissenschaftliche Zentren und koordinierte Programme / Frankfurt Institute for Advanced Studies (FIAS)
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Licence (German):License LogoCreative Commons - Namensnennung 4.0