Neurally Inspired Computing Systems . ECE 274
Basic understanding of computational principles and information coding in biological brains; biologically plausible neural and synaptic models; neutrally inspired network architectures, learning mechanisms, and trainingalgorithms; hardware architectures and circuits for supporting efficient neurally inspired learning.
Graduate students only
Level Limit
You Might Also Like
ECE 254B
17 / 30
Enrolled
Advanced Computer Architecture: Parallel Processing
Behrooz Parhami
2.4
ECE 256C
10 / 19
Enrolled
Advanced VLSI Architecture and Design
Forrest Brewer
3.4
ECE 271A
25 / 30
Enrolled
Principles of Optimization
Mostofi Y C, Torun M
ECE 272B
31 / 36
Enrolled
Artificial Intelligence in Design and Test Automation
Li-C Wang
4.3
Pattern Recognition
Kenneth Rose
4.5
Group Studies: Controls, Dynamical Systems, and Computation
Andrew Teel
4.3