Thinking in circuits: toward neurobiological explanation in cognitive neuroscience View Full Text


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Article Info

DATE

2014-06-18

AUTHORS

Friedemann Pulvermüller, Max Garagnani, Thomas Wennekers

ABSTRACT

Cognitive theory has decomposed human mental abilities into cognitive (sub) systems, and cognitive neuroscience succeeded in disclosing a host of relationships between cognitive systems and specific structures of the human brain. However, an explanation of why specific functions are located in specific brain loci had still been missing, along with a neurobiological model that makes concrete the neuronal circuits that carry thoughts and meaning. Brain theory, in particular the Hebb-inspired neurocybernetic proposals by Braitenberg, now offers an avenue toward explaining brain–mind relationships and to spell out cognition in terms of neuron circuits in a neuromechanistic sense. Central to this endeavor is the theoretical construct of an elementary functional neuronal unit above the level of individual neurons and below that of whole brain areas and systems: the distributed neuronal assembly (DNA) or thought circuit (TC). It is shown that DNA/TC theory of cognition offers an integrated explanatory perspective on brain mechanisms of perception, action, language, attention, memory, decision and conceptual thought. We argue that DNAs carry all of these functions and that their inner structure (e.g., core and halo subcomponents), and their functional activation dynamics (e.g., ignition and reverberation processes) answer crucial localist questions, such as why memory and decisions draw on prefrontal areas although memory formation is normally driven by information in the senses and in the motor system. We suggest that the ability of building DNAs/TCs spread out over different cortical areas is the key mechanism for a range of specifically human sensorimotor, linguistic and conceptual capacities and that the cell assembly mechanism of overlap reduction is crucial for differentiating a vocabulary of actions, symbols and concepts. More... »

PAGES

573-593

References to SciGraph publications

  • 2009-01-14. On the Natural Hierarchical Composition of Cliques in Cell Assemblies in COGNITIVE COMPUTATION
  • <error retrieving object. in <ERROR RETRIEVING OBJECT
  • 2005-05. Neural signatures of cell assembly organization in NATURE REVIEWS NEUROSCIENCE
  • 2002-09. Scene segmentation by spike synchronization in reciprocally connected visual areas. I. Local effects of cortical feedback in BIOLOGICAL CYBERNETICS
  • 2009-02-14. Recruitment and Consolidation of Cell Assemblies for Words by Way of Hebbian Learning and Competition in a Multi-Layer Neural Network in COGNITIVE COMPUTATION
  • 2007-12. Where do you know what you know? The representation of semantic knowledge in the human brain in NATURE REVIEWS NEUROSCIENCE
  • 2008-05-09. The neural systems that mediate human perceptual decision making in NATURE REVIEWS NEUROSCIENCE
  • 2013-04-05. A review of cell assemblies in BIOLOGICAL CYBERNETICS
  • 2010-12-20. Emerging concepts for the dynamical organization of resting-state activity in the brain in NATURE REVIEWS NEUROSCIENCE
  • 2005-01. A Model for Representing the Dynamics of a System of Synfire Chains in JOURNAL OF COMPUTATIONAL NEUROSCIENCE
  • 1982. Neural Assemblies, An Alternative Approach to Artificial Intelligence in NONE
  • 1978. Cell Assemblies in the Cerebral Cortex in THEORETICAL APPROACHES TO COMPLEX SYSTEMS
  • 1992-03. Entwurf einer neurologischen Theorie der Sprache in THE SCIENCE OF NATURE
  • 1996. Associative Data Storage and Retrieval in Neural Networks in MODELS OF NEURAL NETWORKS III
  • 2011-02-07. Neuroscience insights improve neurorehabilitation of poststroke aphasia in NATURE REVIEWS NEUROLOGY
  • 2009-09-17. Syntactic sequencing in Hebbian cell assemblies in COGNITIVE NEURODYNAMICS
  • 1998. Cortex: Statistics and Geometry of Neuronal Connectivity in NONE
  • 2008-03-23. The evolution of the arcuate fasciculus revealed with comparative DTI in NATURE NEUROSCIENCE
  • 1999-12. Stable propagation of synchronous spiking in cortical neural networks in NATURE
  • 2007-04-13. The cortical organization of speech processing in NATURE REVIEWS NEUROSCIENCE
  • 1970-01. Models for the Brain in NATURE
  • 1976-12. Fähigkeiten eines assoziativen Speichersystems im Vergleich zu Gehirnfunktionen in BIOLOGICAL CYBERNETICS
  • 2003-10. Working memory: looking back and looking forward in NATURE REVIEWS NEUROSCIENCE
  • 1991. Cortico-Hippocampal Interplay and the Representation of Contexts in the Brain in NONE
  • 2011-09-02. A model for complex sequence learning and reproduction in neural populations in JOURNAL OF COMPUTATIONAL NEUROSCIENCE
  • 2005. Sequence Detector Networks and Associative Learning of Grammatical Categories in BIOMIMETIC NEURAL LEARNING FOR INTELLIGENT ROBOTS
  • 2010-04-09. Active perception: sensorimotor circuits as a cortical basis for language in NATURE REVIEWS NEUROSCIENCE
  • 1992. Basic Features of Cortical Connectivity and Some Consideration on Language in LANGUAGE ORIGIN: A MULTIDISCIPLINARY APPROACH
  • 1997-01. Language-specific phoneme representations revealed by electric and magnetic brain responses in NATURE
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    43 schema:description Cognitive theory has decomposed human mental abilities into cognitive (sub) systems, and cognitive neuroscience succeeded in disclosing a host of relationships between cognitive systems and specific structures of the human brain. However, an explanation of why specific functions are located in specific brain loci had still been missing, along with a neurobiological model that makes concrete the neuronal circuits that carry thoughts and meaning. Brain theory, in particular the Hebb-inspired neurocybernetic proposals by Braitenberg, now offers an avenue toward explaining brain–mind relationships and to spell out cognition in terms of neuron circuits in a neuromechanistic sense. Central to this endeavor is the theoretical construct of an elementary functional neuronal unit above the level of individual neurons and below that of whole brain areas and systems: the distributed neuronal assembly (DNA) or thought circuit (TC). It is shown that DNA/TC theory of cognition offers an integrated explanatory perspective on brain mechanisms of perception, action, language, attention, memory, decision and conceptual thought. We argue that DNAs carry all of these functions and that their inner structure (e.g., core and halo subcomponents), and their functional activation dynamics (e.g., ignition and reverberation processes) answer crucial localist questions, such as why memory and decisions draw on prefrontal areas although memory formation is normally driven by information in the senses and in the motor system. We suggest that the ability of building DNAs/TCs spread out over different cortical areas is the key mechanism for a range of specifically human sensorimotor, linguistic and conceptual capacities and that the cell assembly mechanism of overlap reduction is crucial for differentiating a vocabulary of actions, symbols and concepts.
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