Literature DB >> 10221426

How does the cerebral cortex work? Learning, attention, and grouping by the laminar circuits of visual cortex.

S Grossberg1.   

Abstract

The organization of neocortex into layers is one of its most salient anatomical features. These layers include circuits that form functional columns in cortical maps. A major unsolved problem concerns how bottom-up, top-down, and horizontal interactions are organized within cortical layers to generate adaptive behaviors. This article models how these interactions help visual cortex to realize: (i) the binding process whereby cortex groups distributed data into coherent object representations; (ii) the attentional process whereby cortex selectively processes important events; and (iii) the developmental and learning processes whereby cortex shapes its circuits to match environmental constraints. New computational ideas about feedback systems suggest how neocortex develops and learns in a stable way, and why top-down attention requires converging bottom-up inputs to fully activate cortical cells, whereas perceptual groupings do not.

Mesh:

Year:  1999        PMID: 10221426     DOI: 10.1163/156856899x00102

Source DB:  PubMed          Journal:  Spat Vis        ISSN: 0169-1015


  24 in total

1.  Competitive mechanisms subserve attention in macaque areas V2 and V4.

Authors:  J H Reynolds; L Chelazzi; R Desimone
Journal:  J Neurosci       Date:  1999-03-01       Impact factor: 6.167

2.  Computational constraints that may have favoured the lamination of sensory cortex.

Authors:  Alessandro Treves
Journal:  J Comput Neurosci       Date:  2003 May-Jun       Impact factor: 1.621

3.  Running as fast as it can: how spiking dynamics form object groupings in the laminar circuits of visual cortex.

Authors:  Jasmin Léveillé; Massimiliano Versace; Stephen Grossberg
Journal:  J Comput Neurosci       Date:  2010-01-29       Impact factor: 1.621

4.  Binocular fusion and invariant category learning due to predictive remapping during scanning of a depthful scene with eye movements.

Authors:  Stephen Grossberg; Karthik Srinivasan; Arash Yazdanbakhsh
Journal:  Front Psychol       Date:  2015-01-14

Review 5.  Cortical and subcortical predictive dynamics and learning during perception, cognition, emotion and action.

Authors:  Stephen Grossberg
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-05-12       Impact factor: 6.237

6.  Estimating Granger causality after stimulus onset: a cautionary note.

Authors:  Xue Wang; Yonghong Chen; Mingzhou Ding
Journal:  Neuroimage       Date:  2008-03-26       Impact factor: 6.556

7.  Where's Waldo? How perceptual, cognitive, and emotional brain processes cooperate during learning to categorize and find desired objects in a cluttered scene.

Authors:  Hung-Cheng Chang; Stephen Grossberg; Yongqiang Cao
Journal:  Front Integr Neurosci       Date:  2014-06-17

8.  When figure-ground segregation fails: Exploring antagonistic interactions in figure-ground perception.

Authors:  James M Brown; Richard W Plummer
Journal:  Atten Percept Psychophys       Date:  2020-10       Impact factor: 2.199

9.  After-hyperpolarization currents and acetylcholine control sigmoid transfer functions in a spiking cortical model.

Authors:  Jesse Palma; Massimiliano Versace; Stephen Grossberg
Journal:  J Comput Neurosci       Date:  2011-07-21       Impact factor: 1.621

10.  Bottom-up dependent gating of frontal signals in early visual cortex.

Authors:  Leeland B Ekstrom; Pieter R Roelfsema; John T Arsenault; Giorgio Bonmassar; Wim Vanduffel
Journal:  Science       Date:  2008-07-18       Impact factor: 47.728

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