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Brain Computation as Hierarchical Abstraction$
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Dana H. Ballard

Print publication date: 2015

Print ISBN-13: 9780262028615

Published to MIT Press Scholarship Online: September 2015

DOI: 10.7551/mitpress/9780262028615.001.0001

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Neurons and Circuits

Neurons and Circuits

(p.83) 3 Neurons and Circuits
Brain Computation as Hierarchical Abstraction

Dana H. Ballard

The MIT Press

All neurons have characteristic spike generation methods, but at the circuit level they are combined in many different ways. The slowness of the neural spike generation process suggests that standard models of cortical firing may be inadequate to describe the computational process, particularly for the issue of multiplexing. A first impression of the forebrain’s networks, particularly in its Cortical subsystem, suggests that it might be difficult to realize multiple independent neural computations since all the circuitry is interconnected in explicit ways such that any factorization is not obvious. Nonetheless from a practical computational viewpoint, it would seem that multiple, separate computations that share the common circuitry must be allowed. A representative radical approach is described achieves this independence.

Keywords:   Spike Codes, Ionic Channels, Grid Cells\, Latency Coding, Feedback Models

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