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Microelectronics Engineering

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Microelectronics Engineering

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Research Frontiers in Neuromorphic Chip Architecture

Design of bio-inspired computing architectures with spiking neural networks for energy-efficient artificial intelligence.

Spike Timing Dependent Plasticity in Silicon Substrates
Memristive Crossbar Arrays for Temporal Computing
Event-Driven Processing at the Nanoscale
Asynchronous Neuron-Synapse Integration on Chip
Low-Power Spiking Neural Networks in Hardware
Temporal Coding Beyond Traditional Analog Systems
Neuromorphic Learning Without Backpropagation
Hierarchical Temporal Abstraction in Silicon
Fault Tolerance in Biologically-Inspired Architectures
Heterogeneous Computing with Neuromorphic Cores

All Microelectronics Engineering PhD categories