34 citations · 77 across the 13 of their papers we have counts for
6 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…
A neuromorphic hardware framework based on population coding
Chetan Singh Thakur, Tara Julia Hamilton, Runchun Wang +2
In the biological nervous system, large neuronal populations work collaboratively to encode sensory stimuli. These neuronal populations are characterised by a diverse distribution…
FPGA Implementation of the CAR Model of the Cochlea
Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson +2
The front end of the human auditory system, the cochlea, converts sound signals from the outside world into neural impulses transmitted along the auditory pathway for further proce…