Emergence of simple-cell receptive field properties by learning a sparse code for natural images

Article Abstract:

A learning algorithm that hunts for sparse linear codes of natural scenes produces localized, orientated, bandpass receptive fields similar to the receptive fields of visual neurons in the primary visual cortex of mammals. The outputs of the resultant image codes have a high level of statistical independence. The algorithm is capable of finding sparse structures in the data with non-orthogonal constituents. Development of the receptive fields requires the placing of global objectives on linear coding.

Algorithms, Observations, Visual cortex

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Look but don't touch, or vice versa

Article Abstract:

The neurons in the posterior parietal cortex are thought to be responsible for coordinating spatial vision, attention and visually guided motor functions. They reflect motor intention or the intention to do something in particular. Experiments in monkeys showed that neurons located more medially no longer fired when an eye movement is made because of a planned hand movement while those located in the more lateral region fired only when the monkey planned eye movements.

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