Active projects of the Fitzgerald Lab include:
Brain-scale computation: One can explore brain-scale computation in larval zebrafish by imaging nearly all its neurons at cellular-resolution. We are collaborating with several zebrafish labs to build realistic neural circuit models of sensorimotor transformations underlying ethological behaviors. We use these experimental and modeling results to ground our thinking about principles that might govern the large-scale organization of the brain.
Dynamics of hippocampal memory: Modern imaging techniques reveal that memory circuits are dynamic at the synaptic, neuronal, and network levels. We are interested in understanding how the dynamics of memory emerge from multiscale dynamics of brain circuitry. We are currently investigating how the hippocampus might decouple memory storage from recall to facilitate specific hippocampal roles in long-term memory.
Visual computation in natural environments: Evolution selects for sensory systems that perform well in natural environments. We study how natural scene statistics affect the visual motion estimation strategies employed by flies, larval zebrafish, and humans. We take a comparative approach to gain general insights into how the mechanistic details of brain circuitry can embody and/or obscure fundamental computational principles.