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20132019
most citedEMNIST: an extension of MNIST to handwritten letters

464 citations · 501 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.NE2019

Biologically-inspired Salience Affected Artificial Neural Network (SANN)

Leendert A Remmelzwaal, George F R Ellis, Jonathan Tapson +1

In this paper we introduce a novel Salience Affected Artificial Neural Network (SANN) that models the way neuromodulators such as dopamine and noradrenaline affect neural dynamics…

cs.NE2019

Event-based Feature Extraction Using Adaptive Selection Thresholds

Saeed Afshar, Ying Xu, Jonathan Tapson +2

Unsupervised feature extraction algorithms form one of the most important building blocks in machine learning systems. These algorithms are often adapted to the event-based domain…

cs.NE20152 cited

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…

cs.NE201534 cited

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…

cs.NE20131 cited

Synthesis of neural networks for spatio-temporal spike pattern recognition and processing

J. Tapson, G. Cohen, S. Afshar +5

The advent of large scale neural computational platforms has highlighted the lack of algorithms for synthesis of neural structures to perform predefined cognitive tasks. The Neural…