Literature DB >> 18729596

Laminar cortical dynamics of cognitive and motor working memory, sequence learning and performance: toward a unified theory of how the cerebral cortex works.

Stephen Grossberg1, Lance R Pearson.   

Abstract

How does the brain carry out working memory storage, categorization, and voluntary performance of event sequences? The LIST PARSE neural model proposes an answer that unifies the explanation of cognitive, neurophysiological, and anatomical data. It quantitatively simulates human cognitive data about immediate serial recall and free recall, and monkey neurophysiological data from the prefrontal cortex obtained during sequential sensory-motor imitation and planned performance. The model clarifies why spatial and non-spatial working memories share the same type of circuit design. It proposes how laminar circuits of lateral prefrontal cortex carry out working memory storage of event sequences within layers 6 and 4, how these event sequences are unitized through learning into list chunks within layer 2/3, and how these stored sequences can be recalled at variable rates that are under volitional control by the basal ganglia. These laminar prefrontal circuits are variations of visual cortical circuits that explained data about how the brain sees. These examples from visual and prefrontal cortex illustrate how laminar neocortex can represent both spatial and temporal information, and open the way towards understanding how other behaviors derive from shared laminar neocortical designs. Copyright (c) 2008 APA, all rights reserved.

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Year:  2008        PMID: 18729596     DOI: 10.1037/a0012618

Source DB:  PubMed          Journal:  Psychol Rev        ISSN: 0033-295X            Impact factor:   8.934


  29 in total

Review 1.  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

2.  Modeling working memory: a computational implementation of the Time-Based Resource-Sharing theory.

Authors:  Klaus Oberauer; Stephan Lewandowsky
Journal:  Psychon Bull Rev       Date:  2011-02

3.  A computational model of fMRI activity in the intraparietal sulcus that supports visual working memory.

Authors:  Dražen Domijan
Journal:  Cogn Affect Behav Neurosci       Date:  2011-12       Impact factor: 3.282

Review 4.  The challenge of understanding the brain: where we stand in 2015.

Authors:  John Lisman
Journal:  Neuron       Date:  2015-05-20       Impact factor: 17.173

5.  Can the effects of temporal grouping explain the similarities and differences between free recall and serial recall?

Authors:  Jessica Spurgeon; Geoff Ward; William J Matthews; Simon Farrell
Journal:  Mem Cognit       Date:  2015-04

6.  Short-term memory based on activated long-term memory: A review in response to Norris (2017).

Authors:  Nelson Cowan
Journal:  Psychol Bull       Date:  2019-08       Impact factor: 17.737

7.  Neural dynamics of object-based multifocal visual spatial attention and priming: object cueing, useful-field-of-view, and crowding.

Authors:  Nicholas C Foley; Stephen Grossberg; Ennio Mingolla
Journal:  Cogn Psychol       Date:  2012-03-14       Impact factor: 3.468

8.  Habits as action sequences: hierarchical action control and changes in outcome value.

Authors:  Amir Dezfouli; Nura W Lingawi; Bernard W Balleine
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-11-05       Impact factor: 6.237

9.  Distinct effects of perceptual quality on auditory word recognition, memory formation and recall in a neural model of sequential memory.

Authors:  Paul Miller; Arthur Wingfield
Journal:  Front Syst Neurosci       Date:  2010-06-03

Review 10.  Frontal-thalamic circuits associated with language.

Authors:  Helen Barbas; Miguel Ángel García-Cabezas; Basilis Zikopoulos
Journal:  Brain Lang       Date:  2012-12-01       Impact factor: 2.381

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