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- npb-267 - computational-neuroscience
University of California-Davis Course Info
Davis, California•
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Course Info
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NPB 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 NSC 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
and
NPB 100 - Neurobiology
Recommended courses:
PHY 007C - General Physics
and
PHY 007B - General Physics
and
PHY 007A - General Physics