A fundamental goal of systems neuroscience is to describe how sensory inputs are integrated and guide an animal's behavior. To be able to integrate these inputs, early sensory systems have developed selectivities for specific stimulus features that allow them to analyze the inputs using these features as basis. A classic example is the emergence of orientation selectivity within the visual cortex (Hubel and Wiesel, 1962). Successive processing stages in the early visual system perform systematic transformations on the incoming inputs that enable them to be able to identify multiple aspects of the visual scene important for guiding an animal's behavior, including the location, shape, depth and motion of objects. While the unique feature selectivities emerging at different stages in visual processing are known to a certain extent, the nature and mechanisms of these sensory transformations less well-understood.
We aim to uncover how disparate motion signals are integrated to produce a global percept of motion, and to understand the conditions in which such integration fails.
A critical function of sensory processing is to integrate distinct information in order to generate a global representation that may be used to guide our behavior. For example, inferring the motion of complex objects requires the integration of multiple motion signals, each signal providing a constraint on the object motion. We will examine the neural circuitry that performs this computation using a combination of electrophysiology, imaging and behavioral experiments.
| Samonds, Jason M; Geisler, Wilson S; Priebe, Nicholas J (2018) Natural image and receptive field statistics predict saccade sizes. Nat Neurosci 21:1591-1599 |
| Pattadkal, Jagruti J; Mato, German; van Vreeswijk, Carl et al. (2018) Emergent Orientation Selectivity from Random Networks in Mouse Visual Cortex. Cell Rep 24:2042-2050.e6 |
| Scholl, Benjamin; Pattadkal, Jagruti J; Priebe, Nicholas J (2017) Binocular Disparity Selectivity Weakened after Monocular Deprivation in Mouse V1. J Neurosci 37:6517-6526 |
| Scholl, Benjamin; Pattadkal, Jagruti J; Dilly, Geoffrey A et al. (2015) Local Integration Accounts for Weak Selectivity of Mouse Neocortical Parvalbumin Interneurons. Neuron 87:424-36 |
| Scholl, Benjamin; Andoni, Sari; Priebe, Nicholas J (2015) Functional characterization of spikelet activity in the primary visual cortex. J Physiol 593:4979-94 |
| Scholl, Benjamin; Priebe, Nicholas J (2015) Neuroscience: The cortical connection. Nature 518:306-7 |
