Cargando…

Lateral Information Processing by Spiking Neurons: A Theoretical Model of the Neural Correlate of Consciousness

Cognitive brain functions, for example, sensory perception, motor control and learning, are understood as computation by axonal-dendritic chemical synapses in networks of integrate-and-fire neurons. Cognitive brain functions may occur either consciously or nonconsciously (on “autopilot”). Conscious...

Descripción completa

Detalles Bibliográficos
Autores principales: Ebner, Marc, Hameroff, Stuart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3199212/
https://www.ncbi.nlm.nih.gov/pubmed/22046178
http://dx.doi.org/10.1155/2011/247879
_version_ 1782214543769862144
author Ebner, Marc
Hameroff, Stuart
author_facet Ebner, Marc
Hameroff, Stuart
author_sort Ebner, Marc
collection PubMed
description Cognitive brain functions, for example, sensory perception, motor control and learning, are understood as computation by axonal-dendritic chemical synapses in networks of integrate-and-fire neurons. Cognitive brain functions may occur either consciously or nonconsciously (on “autopilot”). Conscious cognition is marked by gamma synchrony EEG, mediated largely by dendritic-dendritic gap junctions, sideways connections in input/integration layers. Gap-junction-connected neurons define a sub-network within a larger neural network. A theoretical model (the “conscious pilot”) suggests that as gap junctions open and close, a gamma-synchronized subnetwork, or zone moves through the brain as an executive agent, converting nonconscious “auto-pilot” cognition to consciousness, and enhancing computation by coherent processing and collective integration. In this study we implemented sideways “gap junctions” in a single-layer artificial neural network to perform figure/ground separation. The set of neurons connected through gap junctions form a reconfigurable resistive grid or sub-network zone. In the model, outgoing spikes are temporally integrated and spatially averaged using the fixed resistive grid set up by neurons of similar function which are connected through gap-junctions. This spatial average, essentially a feedback signal from the neuron's output, determines whether particular gap junctions between neurons will open or close. Neurons connected through open gap junctions synchronize their output spikes. We have tested our gap-junction-defined sub-network in a one-layer neural network on artificial retinal inputs using real-world images. Our system is able to perform figure/ground separation where the laterally connected sub-network of neurons represents a perceived object. Even though we only show results for visual stimuli, our approach should generalize to other modalities. The system demonstrates a moving sub-network zone of synchrony, within which the contents of perception are represented and contained. This mobile zone can be viewed as a model of the neural correlate of consciousness in the brain.
format Online
Article
Text
id pubmed-3199212
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-31992122011-11-01 Lateral Information Processing by Spiking Neurons: A Theoretical Model of the Neural Correlate of Consciousness Ebner, Marc Hameroff, Stuart Comput Intell Neurosci Research Article Cognitive brain functions, for example, sensory perception, motor control and learning, are understood as computation by axonal-dendritic chemical synapses in networks of integrate-and-fire neurons. Cognitive brain functions may occur either consciously or nonconsciously (on “autopilot”). Conscious cognition is marked by gamma synchrony EEG, mediated largely by dendritic-dendritic gap junctions, sideways connections in input/integration layers. Gap-junction-connected neurons define a sub-network within a larger neural network. A theoretical model (the “conscious pilot”) suggests that as gap junctions open and close, a gamma-synchronized subnetwork, or zone moves through the brain as an executive agent, converting nonconscious “auto-pilot” cognition to consciousness, and enhancing computation by coherent processing and collective integration. In this study we implemented sideways “gap junctions” in a single-layer artificial neural network to perform figure/ground separation. The set of neurons connected through gap junctions form a reconfigurable resistive grid or sub-network zone. In the model, outgoing spikes are temporally integrated and spatially averaged using the fixed resistive grid set up by neurons of similar function which are connected through gap-junctions. This spatial average, essentially a feedback signal from the neuron's output, determines whether particular gap junctions between neurons will open or close. Neurons connected through open gap junctions synchronize their output spikes. We have tested our gap-junction-defined sub-network in a one-layer neural network on artificial retinal inputs using real-world images. Our system is able to perform figure/ground separation where the laterally connected sub-network of neurons represents a perceived object. Even though we only show results for visual stimuli, our approach should generalize to other modalities. The system demonstrates a moving sub-network zone of synchrony, within which the contents of perception are represented and contained. This mobile zone can be viewed as a model of the neural correlate of consciousness in the brain. Hindawi Publishing Corporation 2011 2011-10-23 /pmc/articles/PMC3199212/ /pubmed/22046178 http://dx.doi.org/10.1155/2011/247879 Text en Copyright © 2011 M. Ebner and S. Hameroff. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ebner, Marc
Hameroff, Stuart
Lateral Information Processing by Spiking Neurons: A Theoretical Model of the Neural Correlate of Consciousness
title Lateral Information Processing by Spiking Neurons: A Theoretical Model of the Neural Correlate of Consciousness
title_full Lateral Information Processing by Spiking Neurons: A Theoretical Model of the Neural Correlate of Consciousness
title_fullStr Lateral Information Processing by Spiking Neurons: A Theoretical Model of the Neural Correlate of Consciousness
title_full_unstemmed Lateral Information Processing by Spiking Neurons: A Theoretical Model of the Neural Correlate of Consciousness
title_short Lateral Information Processing by Spiking Neurons: A Theoretical Model of the Neural Correlate of Consciousness
title_sort lateral information processing by spiking neurons: a theoretical model of the neural correlate of consciousness
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3199212/
https://www.ncbi.nlm.nih.gov/pubmed/22046178
http://dx.doi.org/10.1155/2011/247879
work_keys_str_mv AT ebnermarc lateralinformationprocessingbyspikingneuronsatheoreticalmodeloftheneuralcorrelateofconsciousness
AT hameroffstuart lateralinformationprocessingbyspikingneuronsatheoreticalmodeloftheneuralcorrelateofconsciousness