By Nikolaus Kriegeskorte, Visit Amazon's Gabriel Kreiman Page, search results, Learn about Author Central, Gabriel Kreiman,
Vision is a vastly parallel computational strategy, within which the retinal photo is remodeled over a series of levels in order to emphasize behaviorally appropriate details (such as item class and identification) and deemphasize different details (such as point of view and lighting). The tactics in the back of imaginative and prescient function through concurrent computation and message passing between neurons inside of a visible sector and among diverse parts. The theoretical proposal of "population code" encapsulates the concept visible content material is represented at each one level by means of the trend of job around the neighborhood inhabitants of neurons. figuring out visible inhabitants codes eventually calls for multichannel dimension and multivariate research of job styles. over the last decade, the multivariate technique has won major momentum in imaginative and prescient learn. sensible imaging and mobilephone recording degree mind task in essentially alternative ways, yet they now use related theoretical techniques and mathematical instruments of their modeling and analyses.
With a spotlight at the ventral processing circulation concept to underlie item acceptance, this e-book provides contemporary advances in our figuring out of visible inhabitants codes, novel multivariate pattern-information research suggestions, and the beginnings of a unified point of view for phone recording and practical imaging. It serves as an advent, review, and reference for scientists and scholars throughout disciplines who're attracted to human and primate imaginative and prescient and, extra more often than not, in knowing how the mind represents and techniques information.
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Additional info for Visual Population Codes: Toward a Common Multivariate Framework for Cell Recording and Functional Imaging
Thorpe There are a number of points that we can make on the basis of this sort of demonstration. One point concerns the question of whether all the images in the sequence need to be processed fully by the visual system, or whether it might be sufficient to only process the one (Mona Lisa, Statue of Liberty, or Mickey Mouse) that we actually notice. This seems to me to be very implausible. It is not because the other twenty or thirty images in the sequence presented at ten images per second cannot be reliably reported that they were not fully processed.
According to this idea, each cell has a number of different “faces,” and might simultaneously be able to respond invariantly to say “Bill Clinton” but also to some other completely unrelated stimuli—such as the “Taj Mahal” or an episode of The Simpsons, for example. Clearly, the probability that the experimenters might hit on two or more totally unrelated stimuli just by chance would be very low. Nevertheless, cells responding to two separate stimuli have been seen occasionally, so the idea is nevertheless a real possibility that deserves to be tested more explicitly.
However, it is important to realize that the same basic principles apply for essentially any architecture. For example, in another study, we considered the case of a neuron receiving activity from a set of 2,000 randomly firing afferents in which there was a particular pattern of activity lasting 50 ms, which affected a subset of the afferents and repeated at unpredictable intervals. , 2008). Furthermore, when several different neurons are listening to the same set of afferents, and lateral inhibition between the neurons prevents more than one neuron firing at the same time, two interesting phenomena 40 Simon J.
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