James C. Knight

Orcid: 0000-0003-0577-0074

According to our database1, James C. Knight authored at least 17 papers between 2015 and 2023.

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Bibliography

2023
Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute.
Frontiers Neuroinformatics, March, 2023

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.
CoRR, 2023

Low-Resolution Sensing for Sim-to-Real Complex Terrain Robots.
Proceedings of the Towards Autonomous Robotic Systems - 24th Annual Conference, 2023

Easy and efficient spike-based Machine Learning with mlGeNN.
Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

Insect-inspired Spatio-temporal Downsampling of Event-based Input.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

2022
mlGeNN: accelerating SNN inference using GPU-enabled neural networks.
Neuromorph. Comput. Eng., 2022

Loss shaping enhances exact gradient learning with EventProp in Spiking Neural Networks.
CoRR, 2022

Efficient GPU training of LSNNs using eProp.
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

CORtEX 2022 Invited Speaker 1: The GeNN ecosystem for GPU accelerated spiking neural network simulations.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

2021
Larger GPU-accelerated brain simulations with procedural connectivity.
Nat. Comput. Sci., 2021

PyGeNN: A Python Library for GPU-Enhanced Neural Networks.
Frontiers Neuroinformatics, 2021

Recent advances in evolutionary and bio-inspired adaptive robotics: Exploiting embodied dynamics.
Appl. Intell., 2021

2020
Insect Inspired View Based Navigation Exploiting Temporal Information.
Proceedings of the Biomimetic and Biohybrid Systems - 9th International Conference, 2020

2019
Insect-Inspired Visual Navigation On-Board an Autonomous Robot: Real-World Routes Encoded in a Single Layer Network.
Proceedings of the 2019 Conference on Artificial Life, 2019

2017
Plasticity in large-scale neuromorphic models of the neocortex.
PhD thesis, 2017

2016
Efficient SpiNNaker simulation of a heteroassociative memory using the Neural Engineering Framework.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
An efficient SpiNNaker implementation of the Neural Engineering Framework.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015


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