Computational Neuroscience Bannner

Computational Neuroscience

Computational neuroscience applies modeling techniques that are biologically plausible formulations of neuronal function. This approach can be used to test specific hypotheses about the full range of brain function from membrane dynamics to large-scale neural systems and combined with a variety of measurement techniques including electrophysiology, 2-photon imaging, optogenetics, and quantitative behavior.

 Affiliated Faculty

Distinguished Professor Emeritus
Psychological & Brain Sciences
Dynamical Neuroscience
Cognitive & neural mechanisms of human learning; Cognitive neuroscience; Mathematical psychology.
Assistant Professor
Computer Science
Psychological & Brain Sciences
Computational Vision, Computational Neuroscience, Neuroengineering, Human-Computer Interaction.
Professor
Psychological & Brain Sciences
How biological organisms and artificial intelligent agents visually sense the world and make decisions.
Assistant Professor
Psychological & Brain Sciences
Molecular, Cellular and Developmental Biology
The Goard lab focuses on how the mammalian neocortex processes and stores incoming sensory information.
Associate Professor
Psychological & Brain Sciences
Uses brain imaging and endocrinology to determine the impact of sex steroid hormones on brain morphology and function.
Associate Professor
Psychological & Brain Sciences
Spatial and temporal organization of stochastic axon systems in the brain.
Assistant Professor
Psychological & Brain Sciences
Neural circuits of associative learning, motivation, and decision-making.
Assistant Professor
Molecular, Cellular, and Developmental Biology
Neural circuit dynamics and behavior; navigation; neural mechanisms of stimulus selection and decision-making.
Distinguished Professor
Molecular, Cellular, and Developmental Biology
Molecular and genetic perspectives on neuro-development, evolution, plasticity and degeneration
Associate Professor
Molecular, Cellular, and Developmental Biology
Combining theory and experimentation to understand how navigational decisions arise from neural-circuit computation.
Professor
Statistics and Applied Probability
Statistical Methods and Data Analyses, Including For Brain Imaging and Other Neuroscience Data.
Professor
Mechanical Engineering
Modeling, dynamics, & control of neural populations; application to neurological disorders such as Parkinson's disease.
Assistant Professor
Molecular, Cellular, and Developmental Biology
Systems neuroscience, neuroethology, genetics. Dissecting neural circuits that control a motor sequence in fruit flies.
Assistant Professor
Molecular, Cellular, and Developmental Biology
Psychological & Brain Sciences
The role of active dendrites in nonlinear modes of synaptic integration.
Associate Professor
Electrical and Computer Engineering
Exploring neural circuitry and illuminating its function, using new neurotechnology.