James C. Knight

According to our database, James C. Knight authored at least 23 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Estimating orientation in natural scenes: A spiking neural network model of the insect central complex.

Rachael Stentiford, James C. Knight, Thomas Nowotny, Andrew Philippides, Paul Graham

PLoS Comput. Biol., 2024

Posit and floating-point based Izhikevich neuron: A Comparison of arithmetic.

T. Fernandez-Hart, James C. Knight, Tatiana Kalganova

Neurocomputing, 2024

Spatio-temporal Structure of Excitation and Inhibition Emerges in Spiking Neural Networks with and without Biologically Plausible Constraints.

Balázs Mészáros, James C. Knight, Thomas Nowotny

CoRR, 2024

Insect-Based Navigation Model Allows Efficient Long-Range Visual Homing in a 3D Simulated Environment.

Thomas Misiek, Andrew Philippides, James C. Knight

Proceedings of the From Animals to Animats 17, 2024

Efficient Visual Navigation with Bio-inspired Route Learning Algorithms.

Efstathios Kagioulis, James C. Knight, Andrew Philippides, Anindya Ghosh, Amany Amin, Paul Graham, Thomas Nowotny

Proceedings of the From Animals to Animats 17, 2024

Exploring 8-Bit Arithmetic for Training Spiking Neural Networks.

T. Fernandez-Hart, Tatiana Kalganova, James C. Knight

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2024

2023

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

James B. Aimone, Omar Awile, Markus Diesmann, James C. Knight, Thomas Nowotny, Felix Schürmann

Frontiers Neuroinformatics, March, 2023

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

Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi

CoRR, 2023

Low-Resolution Sensing for Sim-to-Real Complex Terrain Robots.

Dexter R. Shepherd, James C. Knight

Proceedings of the Towards Autonomous Robotic Systems - 24th Annual Conference, 2023

Easy and efficient spike-based Machine Learning with mlGeNN.

James C. Knight, Thomas Nowotny

Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

Insect-inspired Spatio-temporal Downsampling of Event-based Input.

Anindya Ghosh, Thomas Nowotny, James C. Knight

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

2022

mlGeNN: accelerating SNN inference using GPU-enabled neural networks.

James Paul Turner, James C. Knight, Ajay Subramanian, Thomas Nowotny

Neuromorph. Comput. Eng., 2022

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

Thomas Nowotny, James Paul Turner, James C. Knight

CoRR, 2022

Efficient GPU training of LSNNs using eProp.

James C. Knight, Thomas Nowotny

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.

Thomas Nowotny, James C. Knight

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

2021

Larger GPU-accelerated brain simulations with procedural connectivity.

James C. Knight, Thomas Nowotny

Nat. Comput. Sci., 2021

PyGeNN: A Python Library for GPU-Enhanced Neural Networks.

James C. Knight, Anton Komissarov, Thomas Nowotny

Frontiers Neuroinformatics, 2021

Recent advances in evolutionary and bio-inspired adaptive robotics: Exploiting embodied dynamics.

Phil Husbands, YoonSik Shim, Michael Garvie, Alex Dewar, Norbert Domcsek, Paul Graham, James C. Knight, Thomas Nowotny, Andrew Philippides

Appl. Intell., 2021

2020

Insect Inspired View Based Navigation Exploiting Temporal Information.

Efstathios Kagioulis, Andrew Philippides, Paul Graham, James C. Knight, Thomas Nowotny

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.

James C. Knight, Daniil Sakhapov, Norbert Domcsek, Alex D. M. Dewar, Paul Graham, Thomas Nowotny, Andrew Philippides

Proceedings of the 2019 Conference on Artificial Life, 2019

2017

Plasticity in large-scale neuromorphic models of the neocortex.

James C. Knight

PhD thesis, 2017

2016

Efficient SpiNNaker simulation of a heteroassociative memory using the Neural Engineering Framework.

James C. Knight, Aaron R. Voelker, Andrew Mundy, Chris Eliasmith, Steve B. Furber

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

An efficient SpiNNaker implementation of the Neural Engineering Framework.

Andrew Mundy, James C. Knight, Terrence C. Stewart, Stephen B. Furber

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015