A Theory of How the Brain Might Work

I wish to propose a quite speculative new version of the grandmother cell theory to explain how the brain, or parts of it, may work. In particular, I discuss how the visual system may learn to recognize 3D objects. The model would apply directly to the cortical cells involved in visual face recognit...

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Main Author: Poggio, Tomaso
Language:en_US
Published: 2004
Online Access:http://hdl.handle.net/1721.1/6559
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author Poggio, Tomaso
author_facet Poggio, Tomaso
author_sort Poggio, Tomaso
collection MIT
description I wish to propose a quite speculative new version of the grandmother cell theory to explain how the brain, or parts of it, may work. In particular, I discuss how the visual system may learn to recognize 3D objects. The model would apply directly to the cortical cells involved in visual face recognition. I will also outline the relation of our theory to existing models of the cerebellum and of motor control. Specific biophysical mechanisms can be readily suggested as part of a basic type of neural circuitry that can learn to approximate multidimensional input-output mappings from sets of examples and that is expected to be replicated in different regions of the brain and across modalities. The main points of the theory are: -the brain uses modules for multivariate function approximation as basic components of several of its information processing subsystems. -these modules are realized as HyperBF networks (Poggio and Girosi, 1990a,b). -HyperBF networks can be implemented in terms of biologically plausible mechanisms and circuitry. The theory predicts a specific type of population coding that represents an extension of schemes such as look-up tables. I will conclude with some speculations about the trade-off between memory and computation and the evolution of intelligence.
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spelling mit-1721.1/65592019-04-12T08:31:27Z A Theory of How the Brain Might Work Poggio, Tomaso I wish to propose a quite speculative new version of the grandmother cell theory to explain how the brain, or parts of it, may work. In particular, I discuss how the visual system may learn to recognize 3D objects. The model would apply directly to the cortical cells involved in visual face recognition. I will also outline the relation of our theory to existing models of the cerebellum and of motor control. Specific biophysical mechanisms can be readily suggested as part of a basic type of neural circuitry that can learn to approximate multidimensional input-output mappings from sets of examples and that is expected to be replicated in different regions of the brain and across modalities. The main points of the theory are: -the brain uses modules for multivariate function approximation as basic components of several of its information processing subsystems. -these modules are realized as HyperBF networks (Poggio and Girosi, 1990a,b). -HyperBF networks can be implemented in terms of biologically plausible mechanisms and circuitry. The theory predicts a specific type of population coding that represents an extension of schemes such as look-up tables. I will conclude with some speculations about the trade-off between memory and computation and the evolution of intelligence. 2004-10-04T15:31:25Z 2004-10-04T15:31:25Z 1990-12-01 AIM-1253 http://hdl.handle.net/1721.1/6559 en_US AIM-1253 2507547 bytes 1956243 bytes application/postscript application/pdf application/postscript application/pdf
spellingShingle Poggio, Tomaso
A Theory of How the Brain Might Work
title A Theory of How the Brain Might Work
title_full A Theory of How the Brain Might Work
title_fullStr A Theory of How the Brain Might Work
title_full_unstemmed A Theory of How the Brain Might Work
title_short A Theory of How the Brain Might Work
title_sort theory of how the brain might work
url http://hdl.handle.net/1721.1/6559
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