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Amit Basole

Publications and source records attributed to Amit Basole.

3 recordsLinked to original sources

Cortical cartography revisited: A frequency perspective on the functional architecture of visual cortex.

Viewed in the plane of the cortical surface, the visual cortex is composed of overlapping functional maps that represent stimulus features such as edge orientation, direction of motion, and spatial frequency. Spatial relationships between these maps are thought to ensure that all combinations of stimulus features are represented uniformly across the visual field. Implicit in this view is the assumption that feature combinations are represented in the form of a place code such that a given pattern of activity uniquely signifies a specific combination of stimulus features. Here we review results of experiments that challenge the place code model for the representation of feature combinations. Rather than overlapping maps of stimulus features, we suggest that patterns of activity evoked by complex stimuli are best understood in the context of a single map of spatiotemporal energy.

Animals↗

Mapping multiple features in the population response of visual cortex.

Stimulus features such as edge orientation, motion direction and spatial frequency are thought to be encoded in the primary visual cortex by overlapping feature maps arranged so that the location of neurons activated by a particular combination of stimulus features can be predicted from the intersections of these maps. This view is based on the use of grating stimuli, which limit the range of stimulus combinations that can be examined. We used optical imaging of intrinsic signals in ferrets to assess patterns of population activity evoked by the motion of a texture (a field of iso-oriented bars). Here we show that the same neural population can be activated by multiple combinations of orientation, length, motion axis and speed. Rather than reflecting the intersection of multiple maps, our results indicate that population activity in primary visual cortex is better described as a single map of spatiotemporal energy.

Animals↗