Research in my laboratory is in the field of computational neuroscience, an interdisciplinary subject that combines mathematical analysis and computer modeling to understand brain function. Computation is an emergent property resulting from the interaction of ion channels and proteins within neurons and the coordinated activity of many neurons. Experimental neuroscience has made great progress in understanding the properties of single neurons and how neurons communicate with each other. We use mathematical models that integrate this knowledge to study how biochemical components shape the electrical characteristics of neurons, how neurons interact to produce functioning neural circuits, and how large populations of neurons store and process information. Areas of particular interest are the study of biochemical cascades that maintain and modulate synaptic strength and the dynamic properties of single neurons and large neural networks and their role in information processing. In learning how these many levels of computation come together we may better understand both the functioning of the brain and what factors lead to its dysfunction.
If you are interested in studying neural computation, please feel free to contact me. I am mainly looking for people with a strong background in physics, mathematics, or cognitive science.
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