Biography
The primary research interests of our laboratory are how ion channels regulate the electrical excitability of cells and how defects in these channels lead to human disease. In the past two decades, mutations of ion channel genes have been found to be the primary cause for over 100 human diseases. Our research program is focused on the mechanistic basis for a group of inherited conditions that alter the electrical excitability of skeletal muscle, including periodic paralysis and myotonia. We have characterized the gating defects of mutant channels, generated computational models of muscle excitability, and produced genetically-engineered mice to gain insights on the pathomechanisms of these disorders and to explore therapeutic interventions.
Biography
Dr. Cohen received his undergraduate training in both engineering at MIT and biology at Stanford. His graduate work at the Rockefeller University concerned hormonally-modulated electrical signaling. He worked in the private sector from 1985 to 1990 developing applications and technology of magnetic resonance imaging, before accepting a faculty appointment at Harvard, where he directed the high-speed MR imaging laboratory, and ultimately contributing to the development of functional MRI performing seminal experiments in this field. Since arriving at UCLA in 1993 he has focused his work on applications and technologies of neuroimaging, and more recently, has been working toward the development of low-cost high performance MRI devices based on novel technologies adopted from low temperature physics.
Biography
NEURAL DYNAMICS: THE NEURAL BASIS OF LEARNING AND MEMORY AND TEMPORAL PROCESSING Behavior and cognition are not the product of isolated neurons, but rather emerge from the dynamics of interconnected neurons embedded in complex recurrent networks. Significant progress has been made towards understanding cellular and synaptic properties in isolation, as well as in establishing which areas of the brain are active during specific tasks. However, elucidating how the activity of hundreds of thousands of neurons within local cortical circuits underlie computations remains an elusive and fundamental goal in neuroscience. The primary goal of my laboratory is to understand how functional computations emerge from networks of neurons. One computation we are particularly interested in is how the brain tells time. Temporal processing refers to your ability to distinguish the interval and duration of sensory stimuli, and is a fundamental component of speech and music perception. To answer these questions the main approaches in my laboratory involve: (1) In Vitro Electrophysiology: Using acute and chronic brain slices we study the spatio-temporal dynamics of cortical circuits, as well as the learning rules that allow networks to develop, organize and perform computations ??? that is, to learn. (2) Computer Simulations: Computer models are used to simulate how networks perform computations, as well as test and generate predictions in parallel with our experimental research. (3) Human Psychophysics: We also use human pyschophysical experiments to characterize learning and generalization of temporal tasks, such as interval discrimination.