Ph.D., Johns Hopkins University
Research Interests
My research focuses on the representation of information within neural networks. How do trains of action potentials encode percepts and intents? How do these representations change across brain areas? How do networks of neurons interact to perform computation? In my lab, we use a combination of theoretical and experimental approaches to answer these questions.
Our current thrust is in the area of motor control. Using a variety of learning experiments, we are investigating how sensory feedback impacts the neural representation of motor intent at multiple levels. One of the major tools we use is the brain-computer interface. These devices allow us to tap directly into the output of a network of neurons and use that recorded activity to drive a device, like a computer cursor. By creating a defined link between neural activity and behavior, brain-computer interfaces provide a unique window for probing brain processes that would otherwise remain covert, like learning, adaptation, and the dynamic evolution of the intent signal. Ultimately, a basic understanding of these phenomena will not only inform us about the fundamental limits of motor control processes, but will also help propel the development of new neural prosthetic devices.
Recent Publications
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Chase SM and Schwartz AB (2011) Inference from populations: going beyond models. In: Enhancing performance for Action and Perception, Progress in Brain Research Volume 192:103-112 (Green AC, Chapman, E, Kalaska JF, & Lepore F, eds).
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Chase SM, Schwartz AB, and Kass RE (2010) Latent inputs improve estimates of neural encoding in motor cortex. J Neurosci 30:13873-13882.
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Legenstein R, Chase SM, Schwartz AB, and Maass W (2010) A reward-modulated Hebbian learning rule can explain experimentally observed network reorganization in a brain control task. J Neurosci 30:8400-8410.
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Koyama S, Chase SM, Whitford A, Velliste M, Schwartz AB, and Kass RE (2010) Comparison between decoding algorithms in open-loop and closed-loop performance. J Comp Neurosci 29:73-87.
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Jarosiewicz B, Chase SM, Fraser GW, Velliste M, Kass RE, and Schwartz AB (2008) Functional network reorganization during learning in a brain-computer interface paradigm. PNAS 105:19486-19491.
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Chase SM and Young ED (2007) First-spike latency information in single neurons increases when referenced to population onset. PNAS 104:5175-5180.
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Chase SM and Young ED (2006) Spike-timing codes enhance the representation of multiple simultaneous sound-localization cues in the inferior colliculus. J Neurosci 26:3889-3898.
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