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Natural computation, much ado about nothing
| Content Provider | Semantic Scholar |
|---|---|
| Author | Baudot, Pierre |
| Copyright Year | 2006 |
| Abstract | The information coding of the environment by the brain is subject to intense debate at the level of its biological implementation (functional properties) as well as at the level of its reliability, efficiency and precision. This study is based on in-vivo intracellular recordings of responses of primary visual cortex neurons to stimuli of various complexity including natural scene animated by eye-movements. We show that functional selectivity are generated by cortical recurrence notably by the excitation/inhibition balance expressed through a large diversity of combinatory of synaptic input functional selectivity. In natural condition with eye-movement, the observed code is highly reliable, binary and temporal and cortical computation is removing input redundancies. Nonlinearity or gain controls, which biphasic temporal profile sculpts the cortical responses, increase the temporal precision and reproducibility of the code. We propose in discussion, a sketch of a statistical model of adaptation and self-organisation consisting in the maximisation of the mutual-information between the system and its environment. This model, based on a decomposition of entropy into microscopic ordered redundancy, is sufficient to account for some defining properties of living systems such as reliability, diversity/specialisation, and optimal or efficient coding. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://tel.archives-ouvertes.fr/tel-00203712/document |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
