Explore a Stanford seminar on neuromorphic chips addressing the nanostransistor challenge. Delve into the evolution of transistor technology, the comparison between digital, analog, and neuromorphic computing, and the five-point "secret" master plan for neuromorphs. Learn about dendritic computation, overlapping dendrites, hierarchical axonal branching, and the Neurogrid architecture. Discover the Neural Engineering Framework (NEF) and its applications in whole-brain modeling and robot-arm control. Gain insights into the future of neuromorphic computing and its potential to revolutionize computational capabilities.
Stanford Seminar - Neuromorphic Chips - Addressing the Nanostransistor Challenge
Stanford University via YouTube
Overview
Syllabus
Introduction.
Acknowledgments.
A dollar bought more and more transistors until 2014.
Beware of potholes!.
Accidents happen!.
Combining digital communication with analog computation.
Digital versus Analog versus Neuromorphic.
Neuromorphs' Five-Point "Secret" Master Plan 1. Implement dendritic computation with subthreshold analog.
Overlapping dendrites eliminate axon's terminal branches.
Hierarchical axonal branching minimizes wiring.
Neurogrid's overlapping dendrites and hierarchical axons.
Neurogrid versus TrueNorth.
What is the "VHDL" neuromorphic chips? 1981: Wiring Gates.
The Neuromorphics Project.
Nengo, Neuromorph, and Brainstorm.
The Neural Engineering Framework (NEF).
NEF vesus Conventional Neural Network.
Approximating dynamic transformations with NEF.
SPAUN: First whole-brain model built with spiking neurons.
Vector rotation example.
Works on a neuromorphic chip!.
Robot-arm controller video.
Taught by
Stanford Online
