Computational Neuroscience


This area of research encompasses a diverse set of approaches in which mathematical or computational tools are used to better understand the nervous system. Computer modeling ranges from simulations of the kinetics of single ion channels, to biologically realistic single-neuron models, network models, and models of cognitive processes.

Experimental techniques include the creation of neural hybrid systems - interfaces between biological neurons and computer-simulated or micro-engineered components; and real-time feedback control allowing computational analysis of an ongoing data stream to be used to dynamically interact with the biological preparation.

Faculty with interests in Computational Neuroscience: