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SUMMARY:Protonic Electrochemical Synapses for Energy-Efficient Brain-Inspi
 red Computing - Prof Bilge Yildiz\, MIT
DTSTART:20240228T160000Z
DTEND:20240228T170000Z
UID:TALK211045@talks.cam.ac.uk
CONTACT:Dr Nur Unal
DESCRIPTION:In this talk\, I will share our work on the ionic electrochemi
 cal synapses\, whose electronic conductivity we control deterministically 
 by electrochemical insertion/extraction of dopant ions into/out of the cha
 nnel layer. This work is motivated by the need to enable significant reduc
 tions in the energy consumption of computing\, and is inspired by the ioni
 c processes in the brain. Proton as the working ion in our research presen
 ts with very low energy consumption\, on par with biological synapses in t
 he brain. Our modeling results indicate the desirable material properties\
 , including as ion conductivity and interface charge transfer kinetics\, t
 hat we must achieve for fast\, low energy and low voltage performance of t
 hese devices. Importantly\, the conductance change in these electrochemica
 l devices depends non-linearly on the gate voltage\, due to field-enhanced
  ion migration in the electrolyte\, and charge transfer kinetics at the el
 ectrolyte-channel interface. We are leveraging these intrinsic nonlinearit
 ies to emulate bio-realistic learning rules deduced from neuroscience stud
 ies\, such as spike timing dependence of plasticity and Hebbian learning r
 ules. Our findings indicate that protonic electrochemical synapses can ser
 ve as energy-efficient and reliable building blocks for brain-inspired com
 puting hardware.
LOCATION:Small Lecture Theatre\, Cavendish Laboratory\, J.J. Thomson Avenu
 e
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