Complex Neural and Biological Systems

Theoretical and computational modeling have become critical tools in the evaluation of complex systems ranging from networks of neural elements and multi-cellular complexes, right up to whole organs such as kidney, heart and brain. Understanding the function of these systems requires the integration of data from many different types of experimentation and the derivation of testable hypotheses that can distinguish between alterative models. Specific areas of interest are:

• Measuring the collective behavior and interactions of neural elements, developing novel techniques for recording and analyzing large neural circuits and determining interactions among their many elements.
• Developing interfaces between neural elements and external devices including neural and musculo-skeletal prostheses.
• Developing a description of non-linear, non-equilibrium dynamic systems to understand pattern formation and evolution.
• Analyzing and modeling pathways for genetic regulation and interaction using information from genomics and proteinomics.
• Understanding and modeling the complex interactions among signaling pathways that regulate development and the responses to the external environment in health and disease.

Complex Neural and Biological Systems Courses at UCSF

Faculty with research programs related to Complex Neural and Biological Systems

© Program in Bioengineering, University of California
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