Neural Comput - Mapping of visual receptive fields by tomographic reconstruction.

Tópicos

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Resumo

The moving bar experiment is a classic paradigm for characterizing the receptive field (RF) properties of neurons in primary visual cortex (V1). Current approaches for analyzing neural spiking activity recorded from these experiments do not take into account the point-process nature of these data and the circular geometry of the stimulus presentation. We present a novel analysis approach to mapping V1 receptive fields that combines point-process generalized linear models (PPGLM) with tomographic reconstruction computed by filtered-back projection. We use the method to map the RF sizes and orientations of 251 V1 neurons recorded from two macaque monkeys during a moving bar experiment. Our cross-validated goodness-of-fit analyses show that the PPGLM provides a more accurate characterization of spike train data than analyses based on rate functions computed by the methods of spike-triggered averages or first-order Wiener-Volterra kernel. Our analysis leads to a new definition of RF size as the spatial area over which the spiking activity is significantly greater than baseline activity. Our approach yields larger RF sizes and sharper orientation tuning estimates. The tomographic reconstruction paradigm further suggests an efficient approach to choosing the number of directions and the number of trials per direction in designing moving bar experiments. Our results demonstrate that standard tomographic principles for image reconstruction can be adapted to characterize V1 RFs and that two fundamental properties, size and orientation, may be substantially different from what is currently reported.

Resumo Limpo

move bar experi classic paradigm character recept field rf properti neuron primari visual cortex v current approach analyz neural spike activ record experi take account pointprocess natur data circular geometri stimulus present present novel analysi approach map v recept field combin pointprocess general linear model ppglm tomograph reconstruct comput filteredback project use method map rf size orient v neuron record two macaqu monkey move bar experi crossvalid goodnessoffit analys show ppglm provid accur character spike train data analys base rate function comput method spiketrigg averag firstord wienervolterra kernel analysi lead new definit rf size spatial area spike activ signific greater baselin activ approach yield larger rf size sharper orient tune estim tomograph reconstruct paradigm suggest effici approach choos number direct number trial per direct design move bar experi result demonstr standard tomograph principl imag reconstruct can adapt character v rfs two fundament properti size orient may substanti differ current report

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