Sensorimotor integration in mouse visual cortex

Summary

Date: 
May 31, 2017 - 1:00pm - 2:15pm
Location: 
Northwest Building, Room 243
About the Speaker
Name: 
Pawel Zmarz
Speaker Affiliation: 
FMI, Basel

The receptive field is a classical model used to describe
the responses of neurons in primary visual cortex (V1) to visual stimuli.
However, this description does not capture the full response properties of
neurons in V1 that integrate visual and motor-related input. Such neurons have
been hypothesized to compute a mismatch between actual and predicted visual
feedback, but it is unclear if these signals are integrated on the level of a
receptive field. By perturbing self-generated visual flow in local regions of
the visual field while mice navigated a virtual-reality tunnel, we could show
that neurons in layer 2/3 of V1 signal mismatch between actual and predicted
visual flow in spatially restricted regions of visual space. These
mismatch-receptive fields are aligned to the retinotopic map of V1 and are
similar in size to visual receptive-fields. Furthermore, we identified two
subpopulations of mismatch neurons that signal the speed of a local
perturbation relative to the expected speed of visual flow based on locomotion.
By signaling the location and speed of a local deviation of visual flow from
visual flow predicted based on self-motion, these signals could underlie the
detection of objects moving relative to the visual flow caused by self-motion.