Ian Davison

Associate Professor of Biology

Current Research

Our lab focuses on the neural circuits underlying perception and behavior in olfaction. Smell is notorious for its intimate links to memory and emotion, and in the animal world, chemical cues are powerful triggers of innate social behaviors such as aggression and courtship. Our overarching goal is to establish the circuit architecture and neural computations that map chemical cues onto both stereotyped and learned, flexible behaviors.

In the vomeronasal system, pheromonal signals couple to evolutionarily conserved limbic circuits. The hardwired and concise nature of these pathways provides a powerful window on the links between sensation and behavior. We use genetic tools to identify and record from the sensory circuits recruited by social chemosignals, testing both their anatomical organization and how they are shaped by experience to calibrate behaviors towards different social partners. To further reveal the neural basis of naturalistic behaviors, we are also developing new tools for large-scale imaging of activity in freely moving mice.

In cortical networks, experience-dependent plasticity lends flexibility to sensory-guided behaviors. Despite the noisy and incomplete nature of real-world sensory data, internal sensory percepts remain remarkably stable. To this end, the brain continually updates the way that it parses sensory information into meaningful behavioral categories. Here, our goal is to understand how this perceptual stability arises from the internal organization and dynamic behavior of cortical networks.

Finally, we are using sensory systems as a tool to understand the basis of pathophysiology induced by traumatic brain injury. Even mild TBI often leads to long-term neuropathology and cognitive deficits, but the biological mechanisms set into motion immediately injury remain poorly understood. We use high-resolution intracranial imaging in rodents to help establish how injury alters cortical activity patterns and cerebral blood flow, with the goal of identifying biological processes and time windows for targeted therapeutic interventions.

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