Literature DB >> 21038250

Frontal latching networks: a possible neural basis for infinite recursion.

Alessandro Treves1.   

Abstract

Understanding the neural basis of higher cognitive functions, such as those involved in language, requires a shift from mere localisation to an analysis of network operation. A recent proposal points at infinite recursion as the core of several higher functions, and thus challenges cortical network theorists to describe network behaviour that could subserve infinite recursion. I propose here that a capacity for infinite recursion may be associated with the natural adaptive dynamics of large semantic associative networks, once their connectivity becomes sufficiently extensive to support structured transition probabilities between global network states. The crucial development endowing a semantic system with a nonrandom dynamics would thus be an increase in connectivity, perhaps to be identified with the dramatic increase in spine numbers recently observed in the basal dendrites of pyramidal cells in Old World monkey and particularly in human frontal cortex.

Entities:  

Year:  2005        PMID: 21038250     DOI: 10.1080/02643290442000329

Source DB:  PubMed          Journal:  Cogn Neuropsychol        ISSN: 0264-3294            Impact factor:   2.468


  31 in total

Review 1.  Neural attractor dynamics in object recognition.

Authors:  Valentina Daelli; Alessandro Treves
Journal:  Exp Brain Res       Date:  2010-05-01       Impact factor: 1.972

2.  Uninformative memories will prevail: the storage of correlated representations and its consequences.

Authors:  Emilio Kropff; Alessandro Treves
Journal:  HFSP J       Date:  2007-10-09

3.  Dynamics of the semantic priming shift: behavioral experiments and cortical network model.

Authors:  Frédéric Lavigne; Laurent Dumercy; Lucile Chanquoy; Brunissende Mercier; Françoise Vitu-Thibault
Journal:  Cogn Neurodyn       Date:  2012-06-13       Impact factor: 5.082

4.  Internal representation of task rules by recurrent dynamics: the importance of the diversity of neural responses.

Authors:  Mattia Rigotti; Daniel Ben Dayan Rubin; Xiao-Jing Wang; Stefano Fusi
Journal:  Front Comput Neurosci       Date:  2010-10-04       Impact factor: 2.380

5.  The construction of semantic memory: grammar-based representations learned from relational episodic information.

Authors:  Francesco P Battaglia; Cyriel M A Pennartz
Journal:  Front Comput Neurosci       Date:  2011-08-18       Impact factor: 2.380

6.  A modular latching chain.

Authors:  Sanming Song; Hongxun Yao; Alessandro Treves
Journal:  Cogn Neurodyn       Date:  2013-06-19       Impact factor: 5.082

7.  Spreading activation in an attractor network with latching dynamics: automatic semantic priming revisited.

Authors:  Itamar Lerner; Shlomo Bentin; Oren Shriki
Journal:  Cogn Sci       Date:  2012-10-24

8.  Integrating the automatic and the controlled: strategies in semantic priming in an attractor network with latching dynamics.

Authors:  Itamar Lerner; Shlomo Bentin; Oren Shriki
Journal:  Cogn Sci       Date:  2014-06-02

Review 9.  Learning to predict through adaptation.

Authors:  Alessandro Treves
Journal:  Neuroinformatics       Date:  2004

Review 10.  Itinerancy between attractor states in neural systems.

Authors:  Paul Miller
Journal:  Curr Opin Neurobiol       Date:  2016-06-16       Impact factor: 6.627

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