ECE274

Basic understanding of computational principles and information coding in biological brains; biologically plausible neural and synaptic models; neutrally inspired network architectures, learning mechanisms, and training algorithms; hardware architectures and circuits for supporting efficient neutrally inspired learning.

General familiarity with digital/logic design, VLSI circuits/architecture, algorithms, and C/C++/Python programing. Understanding of optimization theory and machine learning theory would be helpful but not required.