Introduces mathematical and computer techniques used in constructing models of information processing by parallel distributed processing (PDP) networks; principles of input-output functions and adaptation (learning) functions in single units and in networks; examines the relation between PDP networks, neurobiology, artificial intelligence, and cognition.
Prerequisites: MATH 0031 (MATH 0120 preferred) computer programming course or permission of instructor
Recitations: none
Expected class size:
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Credits: 3