Date |
Topic |
Lecture Materials |
9/29, 10/1 |
Biophysical foundations of natural intelligence in neural
systems. Subthreshold MOS silicon models of membrane
excitability. Silicon neurons. Hodgkin-Huxley and
integrate-and-fire models of spiking neuronal dynamics.
Action potentials as address events. |
W1 Lectures |
10/6, 10/8 |
Silicon retina. Low-noise, high-dynamic range
photoreceptors. Focal-plane array signal processing.
Spatial and temporal contrast sensitivity and adaptation.
Dynamic vision sensors. |
W2 Lectures |
10/13, 10/15 |
Silicon cochlea. Low-noise acoustic sensing and
automatic gain control. Continuous wavelet filter banks.
Interaural time difference and level difference auditory
localization. Blind source separation and independent
component analysis. |
W3 Lectures |
10/20, 10/22 |
Silicon cortex. Neural and synaptic compute-in-memory
arrays. Address-event decoders and arbiters, and
integrate-and-fire array transceivers. Hierarchical
address-event routing for locally dense, globally sparse
long-range connectivity across vast spatial scales. |
W4 Lectures |
10/27, 10/29 |
Midterm review. Modular and scalable design for neuromorphic and
bioelectronic integrated circuits and systems. Design for
full testability and controllability. |
W5 Lectures |
11/3, 11/5 |
Low-noise, low-power design.
Fundamental limits of noise-energy efficiency, and metrics of
performance. Biopotential and electrochemical recording and
stimulation, lab-on-a-chip electrophysiology, and neural
interface systems-on-chip. |
W6 Lectures |
11/10, 11/12 |
Adaptive offset cancelation and autoranging in dynamic
vision sensing.
Tobi Delbruck's lecture on silicon retina history with a live demo of event-based dynamic vision systems. |
W7 Lecture |
11/17, 11/19 |
Learning and adaptation to compensate for external and
internal variability over extended time scales. Background
blind calibration of device mismatch. Correlated double
sampling and chopping for offset drift and low-frequency
noise cancellation. |
W8 Lectures |
11/24, 11/26 |
Energy conservation. Resonant inductive power delivery
and data telemetry. Ultra-high efficiency neuromorphic
computing. Resonant adiabatic energy-recovery
charge-conserving synapse arrays.
|
W9 Lectures |
12/1 - 12/5 |
Project final presentations. All are welcome! |
Fall 2025 Projects |