Topic: binocular responses

Being able to identify key patterns of neural network connectivity that are specifically required to generate functional response patterns is a challenging and aspirational goal in neuroscience. The difficulty, in part, is because we are typically only able to probe a network with a limited number of stimulus conditions, and there exists huge degeneracies in the ways we can connect the neurons to reproduce the observed responses. Here we present a new geometric ensemble modeling approach to this problem. Inspired by whole-brain imaging approaches, we assume that we have access to a finite numb

Callosal connections (CC) in early sensory areas are believed to act as conditional drivers because their impact depends on all other inputs reaching their contralateral targets for a given task. In the intact cat brain, CC to the 17/18-transition zone (TZ) act mainly as modulators, rarely as direct drivers, depending on both target and stimulus properties. Given that preferred spatial frequency (SF) gradually changes from area 17 towards 18 we suspected CC to reflect the ratio of x- and y- cell driven retinogeniculate-cortical inputs. We thus recorded monocular and binocular responses to diff