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James Paul Turner
James Paul Turner
Verified email at sussex.ac.uk - Homepage
Title
Cited by
Cited by
Year
GeNN: a code generation framework for accelerated brain simulations
E Yavuz, J Turner, T Nowotny
Scientific reports 6 (1), 18854, 2016
1642016
Estimating numerical error in neural network simulations on Graphics Processing Units
JP Turner, T Nowotny
BMC Neuroscience 16 (1), 1-2, 2015
92015
Simulating spiking neural networks on massively parallel graphical processing units using a code generation approach with GeNN
E Yavuz, J Turner, T Nowotny
BMC neuroscience 15 (1), 1-2, 2014
92014
Loss shaping enhances exact gradient learning with eventprop in spiking neural networks
T Nowotny, JP Turner, JC Knight
arXiv preprint arXiv:2212.01232, 2022
62022
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
42022
Arpra: An arbitrary precision range analysis library
JP Turner, T Nowotny
Frontiers in Neuroinformatics 15, 632729, 2021
32021
Analysing and Bounding Numerical Error in Spiking Neural Network Simulations
JP Turner
University of Sussex, 2020
12020
Event-based dataset for classification and pose estimation
J Turner, J Pedersen, J Conradt, T Nowotny
Proceedings of the 2022 Annual Neuro-Inspired Computational Elements …, 2022
2022
More flexibility for code generation with GeNN v2. 1
T Nowotny, J Turner, E Yavuz
BMC Neuroscience 16 (Suppl 1), P291, 2015
2015
1 GeNN Documentation
J Knight, J Turner, E Yavuz, T Nowotny
Easy-to-use GPU acceleration of neural network simulations with GeNN
JP Turner, E Yavuz, T Nowotny
1 GeNN Documentation
J Turner, E Yavuz, T Nowotny
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Articles 1–12