| Date | Topic | Lecture Materials |
|---|---|---|
| 9/27, 9/29 | 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 |
| 10/4, 10/6 | 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 |
| 10/11, 10/13 | 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 |
| 10/18, 10/20 | 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 |
| 10/25, 10/27 | Review. Modular and scalable design for neuromorphic and bioelectronic integrated circuits and systems. Design for full testability and controllability. | W5 Lectures |
| 11/1, 11/3 | Midterm due 11/2. 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 |
| 11/8, 11/10 | 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. | W7 Lectures |
| 11/15, 11/17 | Energy conservation. Resonant inductive power delivery and data telemetry. Ultra-high efficiency neuromorphic computing. Resonant adiabatic energy-recovery charge-conserving synapse arrays. | W8 Lectures |
| 11/22, 11/24 |
Guest lectures: 11/22 -- Tobias Delbruck, INI Zurich: Neuromorphic event-driven vision 11/24 -- Terrence Sejnowski, Salk Institute: Event-driven learning at extended time scales |
W9 Lectures |
| 11/29, 12/1 | Project final presentations. All are welcome! | Fall 2021 Projects |