The goal of my research is to understand the functional organization and dynamic coordination of sensorimotor networks underlying learned, skilled behaviors.
My lab’s research will address the question of how distributed neural circuits gives rise to coordinated behaviors. To address this question, my lab combines multi-scale electrophysiology with optical manipulations in reaching rodents and advanced computational methods to investigate the functional organization and dynamic coordination of sensorimotor networks. I also develop software to analyze this data, including novel machine learning algorithms and deep learning approaches.
Molecules to Minds
Andy Wyrobek and I, in collaboration with several PIs in the Biosciences Area, are developing the Molecules to Minds (M2M) program. Our mission is to determine individual variation in nervous system responses to environmental stressors and microbiomes that influence behavior, fitness, resilience, and survival.
Bouchard Lab Key Collaborators:
Peter Denes (LBNL): Massive Channel Count Electrophysiology Devices
Fritz Sommer (UCB): Sparse Coding and Compressed Sensing
Prabhat (NERSC): High-Performance Computing
Edward Chang (UCSF): Human Electrocorticography