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Alain Destexhe How much stochastic is neuronal activity ?
Alain Destexhe How much stochastic is neuronal activity ?

... ...
whisker outline.doc
whisker outline.doc

... This mainly columnar relay is largely due to the axonal organization. Most of the axons from excitatory neurons relate to the main column, as is illustrated here in this camera lucida drawing. You see in red the dendritic arbor confined to layer 4 of this excitatory cell and then most of the axons d ...
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Luis V. Colom, MD, PhD VP of Research Center for Biomedical Studies

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Feature detection (nervous system)

Feature detection is a process by which the nervous system sorts or filters complex natural stimuli in order to extract behaviorally relevant cues that have a high probability of being associated with important objects or organisms in their environment, as opposed to irrelevant background or noise. Feature detectors are individual neurons – or groups of neurons – in the brain which code for perceptually significant stimuli. Early in the sensory pathway feature detectors tend to have simple properties; later they become more and more complex as the features to which they respond become more and more specific. For example, simple cells in the visual cortex of the domestic cat (Felis catus), respond to edges – a feature which is more likely to occur in objects and organisms in the environment. By contrast, the background of a natural visual environment tends to be noisy – emphasizing high spatial frequencies but lacking in extended edges. Responding selectively to an extended edge – either a bright line on a dark background, or the reverse – highlights objects that are near or very large. Edge detectors are useful to a cat, because edges do not occur often in the background “noise” of the visual environment, which is of little consequence to the animal.
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