Neural Comput - Dimensionality of object representations in monkey inferotemporal cortex.

Tópicos

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Resumo

We have calculated the intrinsic dimensionality of visual object representations in anterior inferotemporal (AIT) cortex, based on responses of a large sample of cells stimulated with photographs of diverse objects. Because dimensionality was dependent on data set size, we determined asymptotic dimensionality as both the number of neurons and number of stimulus image approached infinity. Our final dimensionality estimate was 93 (SD: ? 11), indicating that there is basis set of approximately 100 independent features that characterize the dimensions of neural object space. We believe this is the first estimate of the dimensionality of neural visual representations based on single-cell neurophysiological data. The dimensionality of AIT object representations was much lower than the dimensionality of the stimuli. We suggest that there may be a gradual reduction in the dimensionality of object representations in neural populations going from retina to inferotemporal cortex as receptive fields become increasingly complex.

Resumo Limpo

calcul intrins dimension visual object represent anterior inferotempor ait cortex base respons larg sampl cell stimul photograph divers object dimension depend data set size determin asymptot dimension number neuron number stimulus imag approach infin final dimension estim sd indic basi set approxim independ featur character dimens neural object space believ first estim dimension neural visual represent base singlecel neurophysiolog data dimension ait object represent much lower dimension stimuli suggest may gradual reduct dimension object represent neural popul go retina inferotempor cortex recept field becom increas complex

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