Literature DB >> 12853372

Laminar development of receptive fields, maps and columns in visual cortex: the coordinating role of the subplate.

Stephen Grossberg1, Aaron Seitz.   

Abstract

How is development of cortical maps in V1 coordinated across cortical layers to form cortical columns? Previous neural models propose how maps of orientation (OR), ocular dominance (OD), and related properties develop in V1. These models show how spontaneous activity, before eye opening, combined with correlation learning and competition, can generate maps similar to those found in vivo. These models have not discussed laminar architecture or how cells develop and coordinate their connections across cortical layers. This is an important problem since anatomical evidence shows that clusters of horizontal connections form, between iso-oriented regions, in layer 2/3 before being innervated by layer 4 afferents. How are orientations in different layers aligned before these connections form? Anatomical evidence demonstrates that thalamic afferents wait in the subplate for weeks before innervating layer 4. Other evidence shows that ablation of the cortical subplate interferes with the development of OR and OD columns. The model proposes how the subplate develops OR and OD maps, which then entrain and coordinate the development of maps in other lamina. The model demonstrates how these maps may develop in layer 4 by using a known transient subplate-to-layer 4 circuit as a teacher. The model subplate also guides the early clustering of horizontal connections in layer 2/3, and the formation of the interlaminar circuitry that forms cortical columns. It is shown how layer 6 develops and helps to stabilize the network when the subplate atrophies. Finally the model clarifies how brain-derived neurotrophic factor (BDNF) manipulations may influence cortical development.

Entities:  

Mesh:

Year:  2003        PMID: 12853372     DOI: 10.1093/cercor/13.8.852

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  16 in total

1.  Three-dimensional visual feature representation in the primary visual cortex.

Authors:  Shigeru Tanaka; Chan-Hong Moon; Mitsuhiro Fukuda; Seong-Gi Kim
Journal:  Neural Netw       Date:  2011-05-27

2.  A neural model of normal and abnormal learning and memory consolidation: adaptively timed conditioning, hippocampus, amnesia, neurotrophins, and consciousness.

Authors:  Daniel J Franklin; Stephen Grossberg
Journal:  Cogn Affect Behav Neurosci       Date:  2017-02       Impact factor: 3.282

3.  Coordinated learning of grid cell and place cell spatial and temporal properties: multiple scales, attention and oscillations.

Authors:  Stephen Grossberg; Praveen K Pilly
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-12-23       Impact factor: 6.237

4.  Developmental origin of patchy axonal connectivity in the neocortex: a computational model.

Authors:  Roman Bauer; Frederic Zubler; Andreas Hauri; Dylan R Muir; Rodney J Douglas
Journal:  Cereb Cortex       Date:  2012-11-06       Impact factor: 5.357

5.  How entorhinal grid cells may learn multiple spatial scales from a dorsoventral gradient of cell response rates in a self-organizing map.

Authors:  Stephen Grossberg; Praveen K Pilly
Journal:  PLoS Comput Biol       Date:  2012-10-04       Impact factor: 4.475

6.  From retinal waves to activity-dependent retinogeniculate map development.

Authors:  Jeffrey Markowitz; Yongqiang Cao; Stephen Grossberg
Journal:  PLoS One       Date:  2012-02-28       Impact factor: 3.240

7.  A realistic neural mass model of the cortex with laminar-specific connections and synaptic plasticity - evaluation with auditory habituation.

Authors:  Peng Wang; Thomas R Knösche
Journal:  PLoS One       Date:  2013-10-30       Impact factor: 3.240

8.  Subplate neurons: crucial regulators of cortical development and plasticity.

Authors:  Patrick O Kanold
Journal:  Front Neuroanat       Date:  2009-08-20       Impact factor: 3.856

9.  Manipulation of BDNF signaling modifies the experience-dependent plasticity induced by pure tone exposure during the critical period in the primary auditory cortex.

Authors:  Renata Anomal; Etienne de Villers-Sidani; Michael M Merzenich; Rogerio Panizzutti
Journal:  PLoS One       Date:  2013-05-21       Impact factor: 3.240

10.  Spiking neurons in a hierarchical self-organizing map model can learn to develop spatial and temporal properties of entorhinal grid cells and hippocampal place cells.

Authors:  Praveen K Pilly; Stephen Grossberg
Journal:  PLoS One       Date:  2013-04-05       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.