E0 204: Neuromorphic Analog VLSI Design

Term : January – April 2022
Instructor : Dr. Chetan Singh Thakur
Class Schedule :  Lecture : Mon,Wed 12-1 PM, Lab: Thurs 2-5 PM.
TA : Ankita Nandi & Prince Philip
Credits :  2:1

Course Summary:
Large-scale analog computation for sensory and motor processing. Analog building blocks are presented, leading to VLSI systems inspired by neurobiological architectures and computational paradigms.

Basic electronics, UG level course in circuits and systems.


  1. Peter Dayan and L. F. Abbott, Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems, The MIT press, 2005.
  2. S.-C. Liu, J. Kramer, G. Indiveri, T. Delbrück, and R. Douglas, Analog VLSI:Circuits and Principles. Cambridge, MA: MIT Press, 2002.
  3. Liu, S.-C., Delbrück, T., Indiveri, G., Whatley, A., and Douglas, R. (2015). Event-Based Neuromorphic Systems. Chichester, West Sussex: John Wiley & Sons, Ltd.


Course Contents (# of lecture hours)

Topic Contents # of hours
Computational Neuroscience Neuron/Synapse models, Auditory and Visual pathways, Olfaction pathway 4
Neuromorphic Engineering Introduction MOS Transistor, Sub-threshold operation of MOS


Synaptic devices Floating gate, Memristor 2
Static circuits Transcondutance Amplifiers, Current Mirror, Differential Pair, Gain Stages DC Operation


Current-mode circuits Translinear Principle, Floating-Gate MOS Circuits, Bump Circuit, Current Multipliers


Signal-Aggregation Circuit Centroid Circuits, Resistive Networks, Diffusor Circuits, Winner-Take-All Circuits, Delay Lines 3
Basic elements of Neuromorphic electronics  Electronic models of neuron, synapse and dendrites 3
Neuromorphic Systems Electronic Cochlea, Auditory Localization, Silicon Retinas, Voltage and Current Mode Neuron Models, Address Event Communication, Motor Pattern Generation 10

Lab component

Experiment Brief Description # of hours
Design of basic building blocks of neuromorphic systems Measure and characterize the Current Mirror, Differential

Pair, Current Correlator, Bump Circuit, and

Transconductance Amplifier

Develop Electronic Cochlea and Silicon Retina prototype Develop the prototype system using neuromorphic building block 20

Attendance and Conduct in Class:
Students are expected to attend classes and be attentive and responsive to all class discussions. It is the students responsibility to get notes and handouts for any missed class.

The grades will be assigned according to the following credit table.
Mid term project and End term project