Literature DB >> 9433756

Development of spatiotemporal receptive fields of simple cells: I. Model formulation.

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

Abstract

A model for the development of spatiotemporal receptive fields of simple cells in the visual cortex is proposed. The model is based on the 1990 hypothesis of Saul and Humphrey that the convergence of four types of input onto a cortical cell, viz. non-lagged ON and OFF inputs and lagged ON and OFF inputs, underlies the spatial and temporal structure of the receptive fields. It therefore explains both orientation and direction selectivity of simple cells. The response properties of the four types of input are described by the product of linear spatial and temporal response functions. Extending the 1994 model of one of the authors (K.D. Miller), we describe the development of spatiotemporal receptive fields as a Hebbian learning process taking into account not only spatial but also temporal correlations between the different inputs. We derive the correlation functions that drive the development both for the period before and after eye-opening and demonstrate how the joint development of orientation and direction selectivity can be understood in the framework of correlation-based learning. Our investigation is split into two parts that are presented in two papers. In the first, the model for the response properties and for the development of direction-selective receptive fields is presented. In the second paper we present simulation results that are compared with experimental data, and also provide a first analysis of our model.

Mesh:

Year:  1997        PMID: 9433756     DOI: 10.1007/s004220050405

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


  11 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.  Independent component analysis of temporal sequences subject to constraints by lateral geniculate nucleus inputs yields all the three major cell types of the primary visual cortex.

Authors:  B Szatmáry; A Lorincz
Journal:  J Comput Neurosci       Date:  2001 Nov-Dec       Impact factor: 1.621

3.  Development of response timing and direction selectivity in cat visual thalamus and cortex.

Authors:  Alan B Saul; Jordan C Feidler
Journal:  J Neurosci       Date:  2002-04-01       Impact factor: 6.167

4.  The mystery of structure and function of sensory processing areas of the neocortex: a resolution.

Authors:  András Lorincz; Botond Szatmáry; Gábor Szirtes
Journal:  J Comput Neurosci       Date:  2002 Nov-Dec       Impact factor: 1.621

5.  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

6.  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

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

8.  Complex Cell-like Direction Selectivity through Spike-Timing Dependent Plasticity.

Authors:  Rajesh P N Rao; Terrence J Sejnowski
Journal:  IETE J Res       Date:  2003-01-01       Impact factor: 2.333

9.  Motion detection and prediction through spike-timing dependent plasticity.

Authors:  A P Shon; R P N Rao; T J Sejnowski
Journal:  Network       Date:  2004-08       Impact factor: 1.273

10.  Natural image coding in V1: how much use is orientation selectivity?

Authors:  Jan Eichhorn; Fabian Sinz; Matthias Bethge
Journal:  PLoS Comput Biol       Date:  2009-04-03       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.