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- nsc-267 - computational-neuroscience
University of California-Davis Course Info
Davis, California•
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Course Info
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NSC 267
Computational Neuroscience
Mathematical models and data analysis techniques used to describe computations performed by nervous systems. Lecture topics include single neuron biophysics, neural coding, network dynamics, memory, plasticity, and learning. Lab topics include programming mathematical models and data analysis techniques in MATLAB. (Same course as NPB 267.)
Units: 5.0
Hours: Lecture—4 hour(s); Lecture/Lab—3 hour(s).
Prerequisites:
MAT 016C - Short Calculus
and
MAT 016B - Short Calculus
and
MAT 016A - Short Calculus
and
NPB 110B - Foundations 2: Neurobiology
Recommended courses:
PHY 007C - General Physics
and
PHY 007B - General Physics
and
PHY 007A - General Physics