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Neuromorphic Engineering

Course code
ELL741
L-T-P
3-0-0
Credits
3
Motivation and field Introduction, Emerging computing trends and roadmap, non-von Neumann computing approach; Basic Biology 1: Neuron, Synapse, Synaptic Plasticity; Basic Biology -2 : Learning rules, Retina, Cochlea, STDP; Mathematical/Electrical modeling of Neurons - LIF, IF, HH; Hardware Implementation of Neuron circuits VLSI Digital/Analog; Advanced Nanodevices for Neuron Implementation; Hardware Implementation of Synaptic and Learning circuits VLSI Digital/Analog; Advanced Nanodevices for Synaptic emulation 1 (NVM, Flash etc); Advanced Nanodevices for Synaptic emulation 2 (RRAM, memristors, CNT etc); Synaptic programming methodology optimization; Nanodevice specific bio-inspired learning rule optimization; Full Network design example -1: Visual Application; Full Network design example -2: Auditory Application; Full system level power/energy dissipation considerations and course conclusion.

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