Literature DB >> 9433757

Development of spatiotemporal receptive fields of simple cells: II. Simulation and analysis.

S Wimbauer1, O G Wenisch, J L van Hemmen, K D Miller.   

Abstract

In part I of this article a correlation based model for the developmental process of spatiotemporal receptive fields has been introduced. In this model the development is described as an activity-dependent competition between four types of input from the lateral geniculate nucleus onto a cortical cell, viz. non-lagged ON and OFF and lagged ON and OFF inputs. In the present paper simulation results and a first analysis are presented for this model. We study the developmental process both before and after eye-opening and compare the results with experimental data from reverse correlation measurements. The outcome of the developmental process is determined mainly by the spatial and the temporal correlations between the different inputs. In particular, if the mean correlation between non-lagged and lagged inputs is weak, receptive fields with a widely varying degree of direction selectivity emerge. However, spatiotemporal receptive fields may show rotation of their preferred orientation as a function of response delay. Even if the mean correlation between two types of temporal input is not weak, direction-selective receptive fields may emerge because of an intracortical interaction between different cortical maps. In an environment of moving lines or gratings, direction-selective receptive fields develop only if the distribution of the directions of motion presented during development shows some anisotropy. In this case, a continuous map of preferred direction is also shown to develop.

Mesh:

Year:  1997        PMID: 9433757     DOI: 10.1007/s004220050406

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  7 in total

1.  The subregion correspondence model of binocular simple cells.

Authors:  E Erwin; K D Miller
Journal:  J Neurosci       Date:  1999-08-15       Impact factor: 6.167

2.  Generalized spin models for coupled cortical feature maps obtained by coarse graining correlation based synaptic learning rules.

Authors:  Peter J Thomas; Jack D Cowan
Journal:  J Math Biol       Date:  2011-11-19       Impact factor: 2.259

Review 3.  Canonical computations of cerebral cortex.

Authors:  Kenneth D Miller
Journal:  Curr Opin Neurobiol       Date:  2016-02-08       Impact factor: 6.627

4.  Correlation-based development of ocularly matched orientation and ocular dominance maps: determination of required input activities.

Authors:  E Erwin; K D Miller
Journal:  J Neurosci       Date:  1998-12-01       Impact factor: 6.167

5.  Spike-based synaptic plasticity and the emergence of direction selective simple cells: simulation results.

Authors:  N J Buchs; W Senn
Journal:  J Comput Neurosci       Date:  2002 Nov-Dec       Impact factor: 1.621

6.  Refinement and Pattern Formation in Neural Circuits by the Interaction of Traveling Waves with Spike-Timing Dependent Plasticity.

Authors:  James E M Bennett; Wyeth Bair
Journal:  PLoS Comput Biol       Date:  2015-08-26       Impact factor: 4.475

7.  A theory of the influence of eye movements on the refinement of direction selectivity in the cat's primary visual cortex.

Authors:  Antonino Casile; Michele Rucci
Journal:  Network       Date:  2009       Impact factor: 1.273

  7 in total

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