Complex network modeling of saccades control
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1
University of Cambridge, United Kingdom
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2
Institute for Informatics and Telematics, Italy
The fundamental question about the perception of time is whether the neural mechanisms underlying temporal judgements are universal and centralized in the brain or modality specific and distributed. The modern view of the brain is based on the notion of a collection of interacting functional units, lead to idea of a distributed asynchronous consciousness, resulting from the neural activity in functionally distinct areas of the brain, each of which spawns its own unique microconsciousness. The visual system presents several examples of timing mechanisms. Its activity is characterized by a complex network of synchronised elements which cooperate together. Here we focus on saccades which are ballistic movements that require the brain to generate motor commands without the information from sensorial feedback. Using Bayesian statistical inference we re-analyse data or discuss reported numerical results from several models of saccades control presented in literature. Then, we present an adaptive feedback model based on complex networks theory and communication network theory which we show to provide a very good fit to the data and insightful clues on the relationships between saccades control and time/space perception.
Conference:
Neuroinformatics 2008, Stockholm, Sweden, 7 Sep - 9 Sep, 2008.
Presentation Type:
Poster Presentation
Topic:
Computational Neuroscience
Citation:
Lio
P,
Guazzini
A,
Conti
M and
Passarella
A
(2008). Complex network modeling of saccades control.
Front. Neuroinform.
Conference Abstract:
Neuroinformatics 2008.
doi: 10.3389/conf.neuro.11.2008.01.039
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Received:
28 Jul 2008;
Published Online:
28 Jul 2008.
*
Correspondence:
Pietro Lio, University of Cambridge, Cambridge, United Kingdom, pl219@cam.ac.uk