Two physicists (a female and male) working on a lab experiment

ALP Seminar: Circuits that learn on their own

30 Nov 2023
Seminars and colloquia
First Floor Audrey Wood Meeting Room
Martin Wood Complex, Department of Physics, University of Oxford, Parks Road, Oxford, OX1 3PU

Dr Andrea Liu, Hepburn Professor of Physics
(University of Pennsylvania)

Seminar series
ALP seminar
Knowledge of physics?
Yes, knowledge of physics required
For more information contact


Artificial neural networks are digital and learn by global optimization, using vast amounts of memory, processor time, and energy. By contrast, neural networks in the brain are analogue and learn by local rules. I will discuss our laboratory circuits of self-adjusting nonlinear resistors that update their resistances by local rules, enabling the networks to perform tasks such as classification and regression. Learning emerges as a collective phenomenon from identical electrical components updating via identical local rules, without a processor or external memory, and using very little power.