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Lookup NU author(s): Dr Huw Golledge, Dr Stefano Panzeri
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Does synchronization between action potentials from different neurons in the visual system play a substantial role in solving the binding problem? The binding problem can be studied quantitatively in the broader framework of the information contained in neural spike trains about some external correlate, which in this case is object configurations in the visual field. 'We approach this problem by using a mathematical formalism that quantifies the impact of correlated firing in short time scales. Using a power series expansion, the mutual information an ensemble of neurons conveys about external stimuli is broken down into firing rate and correlation components. This leads to a now quantification procedure directly applicable to simultaneous multiple neuron recordings. It theoretically constrains the neural code, showing that correlations contribute less significantly than firing rates to rapid information processing. By using this approach to study the limits upon the amount of information that an ideal observer is able to extract from a synchrony code, it may be possible to determine whether the available amount of information is sufficient to support computational processes such as feature binding.
Author(s): Schultz SR, Golledge HDR, Panzeri S
Editor(s): Wermter, S., Austin, J., Willshaw, D.
Publication type: Book Chapter
Publication status: Published
Book Title: Emergent Neural Computational Architectures Based on Neuroscience: Towards Neuroscience-Inspired Computing
Year: 2001
Volume: 2036
Pages: 212-226
Print publication date: 01/01/2001
Publisher: Springer
Place Published: Berlin; New York
Library holdings: Search Newcastle University Library for this item
ISBN: 9783540423638
