Benjamin D. Evans

According to our database, Benjamin D. Evans authored at least 14 papers between 2012 and 2024.

Collaborative distances:

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

2024

Adapting to time: why nature evolved a diverse set of neurons.

Karim Habashy, Benjamin D. Evans, Dan F. M. Goodman, Jeffrey S. Bowers

CoRR, 2024

MindSet: Vision. A toolbox for testing DNNs on key psychological experiments.

Valerio Biscione, Dong Yin, Gaurav Malhotra, Marin Dujmovic, Milton Llera Montero, Guillermo Puebla, Federico Adolfi, Rachel F. Heaton, John E. Hummel, Benjamin D. Evans, Karim Habashy, Jeffrey S. Bowers

CoRR, 2024

2023

The role of capacity constraints in Convolutional Neural Networks for learning random versus natural data.

Christian Tsvetkov, Gaurav Malhotra, Benjamin D. Evans, Jeffrey S. Bowers

Neural Networks, April, 2023

2022

Biological convolutions improve DNN robustness to noise and generalisation.

Benjamin D. Evans, Gaurav Malhotra, Jeffrey S. Bowers

Neural Networks, 2022

2020

Ten simple rules for writing Dockerfiles for reproducible data science.

Daniel Nüst, Vanessa V. Sochat, Ben Marwick, Stephen J. Eglen, Tim Head, Tony Hirst, Benjamin D. Evans

PLoS Comput. Biol., 2020

Chaste: Cancer, Heart and Soft Tissue Environment.

Fergus R. Cooper, Ruth E. Baker, Miguel O. Bernabeu, Rafel Bordas, Louise Bowler, Alfonso Bueno-Orovio, Helen M. Byrne, Valentina Carapella, Louie Cardone-Noott, Jonathan Cooper, Sara Dutta, Benjamin D. Evans, Alexander G. Fletcher, James A. Grogan, Wenxian Guo, Daniel G. Harvey, Maurice Hendrix, David Kay, Jochen Kursawe, Philip K. Maini, Beth McMillan, Gary R. Mirams, James M. Osborne, Pras Pathmanathan, Joe Pitt-Francis, Martin Robinson, Blanca Rodríguez, Raymond J. Spiteri, David Gavaghan

J. Open Source Softw., 2020

2017

Optogenetics in Silicon: A Neural Processor for Predicting Optically Active Neural Networks.

Junwen Luo, Konstantin Nikolic, Benjamin D. Evans, Na Dong, Xiaohan Sun, Peter Andras, Alex Yakovlev, Patrick Degenaar

IEEE Trans. Biomed. Circuits Syst., 2017

2016

PyRhO: A Multiscale Optogenetics Simulation Platform.

Benjamin D. Evans, Sarah Jarvis, Simon R. Schultz, Konstantin Nikolic

Frontiers Neuroinformatics, 2016

A low-power neuromorphic system for retinal implants and sensory substitution.

Nora Gaspar, Anish Sondhi, Benjamin D. Evans, Konstantin Nikolic

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016

From bytes to insights with modelling as a service a new paradigm for computational modelling illustrated with PyRhO.

Benjamin D. Evans, Konstantin Nikolic

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016

2015

Computational Modelling of the Neural Representation of Object Shape in the Primate Ventral Visual System.

Akihiro Eguchi, Bedeho M. W. Mender, Benjamin D. Evans, Glyn W. Humphreys, Simon M. Stringer

Frontiers Comput. Neurosci., 2015

STDP in lateral connections creates category-based perceptual cycles for invariance learning with multiple stimuli.

Benjamin D. Evans, Simon M. Stringer

Biol. Cybern., 2015

Live demonstration: A low-power neuromorphic system for retinal implants and sensory substitution.

Nora Gaspar, Anish Sondhi, Benjamin D. Evans, Konstantin Nikolic

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

2012

Transform-invariant visual representations in self-organizing spiking neural networks.

Benjamin D. Evans, Simon M. Stringer

Frontiers Comput. Neurosci., 2012