Literature DB >> 25630854

Implications of polychronous neuronal groups for the continuity of mind.

William Benjamin St Clair1, David C Noelle2.   

Abstract

Is conceptual space continuous? The answer to this question depends on how concepts are represented in the brain. Vector space representations, which ground conceptual states in the instantaneous firing rates of neurons, have successfully captured cognitive dynamics in a broad range of domains. There is a growing body of evidence, however, that conceptual information is encoded in spatiotemporal patterns of neural spikes, sometimes called polychronous neuronal groups (PNGs). The use of PNGs to represent conceptual states, rather than employing a continuous vector space, introduces new challenges, including issues of temporally extended representations, meaning through symbol grounding, compositionality, and representational similarity. In this article, we explore how PNGs support discontinuous transitions between concepts. While the continuous dynamics of vector space approaches require such transitions to activate intermediate and blended concepts, PNGs offer the means to change the activation of concepts discretely, introducing a form of conceptual dynamics unavailable to vector space models.

Keywords:  Dynamical systems; Neural representation; Philosophy of mind

Mesh:

Year:  2015        PMID: 25630854     DOI: 10.1007/s10339-015-0645-5

Source DB:  PubMed          Journal:  Cogn Process        ISSN: 1612-4782


  14 in total

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Authors:  Yang Dan; Mu-Ming Poo
Journal:  Neuron       Date:  2004-09-30       Impact factor: 17.173

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Authors:  Eugene M Izhikevich
Journal:  Neural Comput       Date:  2006-02       Impact factor: 2.026

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Authors:  Eugene M Izhikevich
Journal:  Cereb Cortex       Date:  2007-01-13       Impact factor: 5.357

4.  Precisely timed spatiotemporal patterns of neural activity in dissociated cortical cultures.

Authors:  J D Rolston; D A Wagenaar; S M Potter
Journal:  Neuroscience       Date:  2007-07-05       Impact factor: 3.590

5.  Self-organization and neuronal avalanches in networks of dissociated cortical neurons.

Authors:  V Pasquale; P Massobrio; L L Bologna; M Chiappalone; S Martinoia
Journal:  Neuroscience       Date:  2008-03-29       Impact factor: 3.590

6.  Plasticity of recurring spatiotemporal activity patterns in cortical networks.

Authors:  Radhika Madhavan; Zenas C Chao; Steve M Potter
Journal:  Phys Biol       Date:  2007-10-09       Impact factor: 2.583

7.  Toward a universal law of generalization for psychological science.

Authors:  R N Shepard
Journal:  Science       Date:  1987-09-11       Impact factor: 47.728

8.  Sparseness of the neuronal representation of stimuli in the primate temporal visual cortex.

Authors:  E T Rolls; M J Tovee
Journal:  J Neurophysiol       Date:  1995-02       Impact factor: 2.714

9.  High-capacity embedding of synfire chains in a cortical network model.

Authors:  Chris Trengove; Cees van Leeuwen; Markus Diesmann
Journal:  J Comput Neurosci       Date:  2012-08-11       Impact factor: 1.621

10.  A compositionality machine realized by a hierarchic architecture of synfire chains.

Authors:  Sven Schrader; Markus Diesmann; Abigail Morrison
Journal:  Front Comput Neurosci       Date:  2011-01-05       Impact factor: 2.380

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