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James Knight
James Knight
EPSRC Research Software Engineering Fellow, The University of Sussex
Verified email at sussex.ac.uk
Title
Cited by
Cited by
Year
GPUs outperform current HPC and neuromorphic solutions in terms of speed and energy when simulating a highly-connected cortical model
JC Knight, T Nowotny
Frontiers in neuroscience 12, 427264, 2018
1052018
An efficient SpiNNaker implementation of the neural engineering framework
A Mundy, J Knight, TC Stewart, S Furber
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
662015
Larger GPU-accelerated brain simulations with procedural connectivity
JC Knight, T Nowotny
Nature Computational Science 1 (2), 136-142, 2021
632021
PyGeNN: a Python library for GPU-enhanced neural networks
JC Knight, A Komissarov, T Nowotny
Frontiers in Neuroinformatics 15, 659005, 2021
492021
Neuromodulated synaptic plasticity on the SpiNNaker neuromorphic system
M Mikaitis, G Pineda García, JC Knight, SB Furber
Frontiers in neuroscience 12, 105, 2018
422018
Recent advances in evolutionary and bio-inspired adaptive robotics: Exploiting embodied dynamics
P Husbands, Y Shim, M Garvie, A Dewar, N Domcsek, P Graham, J Knight, ...
Applied Intelligence 51 (9), 6467-6496, 2021
322021
Event-based computation for touch localization based on precise spike timing
G Haessig, MB Milde, PV Aceituno, O Oubari, JC Knight, A Van Schaik, ...
Frontiers in neuroscience 14, 420, 2020
292020
Efficient SpiNNaker simulation of a heteroassociative memory using the Neural Engineering Framework
J Knight, AR Voelker, A Mundy, C Eliasmith, S Furber
2016 International Joint Conference on Neural Networks (IJCNN), 5210-5217, 2016
262016
Large-scale simulations of plastic neural networks on neuromorphic hardware
JC Knight, PJ Tully, BA Kaplan, A Lansner, SB Furber
Frontiers in neuroanatomy 10, 37, 2016
262016
Synapse-centric mapping of cortical models to the SpiNNaker neuromorphic architecture
JC Knight, SB Furber
Frontiers in neuroscience 10, 420, 2016
252016
Insect-inspired visual navigation on-board an autonomous robot: Real-world routes encoded in a single layer network
JC Knight, D Sakhapov, N Domcsek, ADM Dewar, P Graham, T Nowotny, ...
Artificial Life Conference Proceedings, 60-67, 2019
222019
Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking
J Yik, SH Ahmed, Z Ahmed, B Anderson, AG Andreou, C Bartolozzi, ...
Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G …, 2023
182023
Insect inspired view based navigation exploiting temporal information
E Kagioulis, A Philippides, P Graham, JC Knight, T Nowotny
Conference on Biomimetic and Biohybrid Systems, 204-216, 2020
142020
NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
J Yik, KV Berghe, D Blanken, Y Bouhadjar, M Fabre, P Hueber, D Kleyko, ...
arXiv preprint arXiv:2304.04640, 2023
92023
Loss shaping enhances exact gradient learning with eventprop in spiking neural networks
T Nowotny, JP Turner, JC Knight
arXiv preprint arXiv:2212.01232, 2022
92022
Efficient GPU training of LSNNs using eProp
JC Knight, T Nowotny
Proceedings of the 2022 Annual Neuro-Inspired Computational Elements …, 2022
92022
Plasticity in large-scale neuromorphic models of the neocortex
JC Knight
PQDT-UK & Ireland, 2017
62017
mlGeNN: accelerating SNN inference using GPU-enabled neural networks
JP Turner, JC Knight, A Subramanian, T Nowotny
Neuromorphic Computing and Engineering 2 (2), 024002, 2022
52022
sPyNNaker 3.0. 0
AB Stokes, AGD Rowley, J Knight, DR Lester, A Rast, MW Hopkins
See https://github. com/SpiNNakerManchester/sPyNNaker/releases/tag/3.0. 0, 2016
52016
Easy and efficient spike-based Machine Learning with mlGeNN
JC Knight, T Nowotny
Proceedings of the 2023 Annual Neuro-Inspired Computational Elements …, 2023
32023
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