108 citations · 259 across the 22 of their papers we have counts for
4 papers · 1 filter
A Reconfigurable Mixed-signal Implementation of a Neuromorphic ADC
Ying Xu, Chetan Singh Thakur, Tara Julia Hamilton +3
We present a neuromorphic Analogue-to-Digital Converter (ADC), which uses integrate-and-fire (I&F) neurons as the encoders of the analogue signal, with modulated inhibitions to dec…
A compact aVLSI conductance-based silicon neuron
Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton +2
We present an analogue Very Large Scale Integration (aVLSI) implementation that uses first-order lowpass filters to implement a conductance-based silicon neuron for high-speed neur…
A neuromorphic hardware architecture using the Neural Engineering Framework for pattern recognition
Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton +2
We present a hardware architecture that uses the Neural Engineering Framework (NEF) to implement large-scale neural networks on Field Programmable Gate Arrays (FPGAs) for performin…
An Online Learning Algorithm for Neuromorphic Hardware Implementation
Chetan Singh Thakur, Runchun Wang, Saeed Afshar +4
We propose a sign-based online learning (SOL) algorithm for a neuromorphic hardware framework called Trainable Analogue Block (TAB). The TAB framework utilises the principles of ne…