Transform-invariant visual representations in self-organizing spiking neural networks. - Benjamin D. Evans; Simon M. Stringer (Frontiers Comput. Neurosci., 2012)

Live demonstration: A low-power neuromorphic system for retinal implants and sensory substitution. - Nora Gaspar; Anish Sondhi; Benjamin D. Evans; Konstantin Nikolic (BioCAS, 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)

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)

From bytes to insights with modelling as a service a new paradigm for computational modelling illustrated with PyRhO. - Benjamin D. Evans; Konstantin Nikolic (BioCAS, 2016)

A low-power neuromorphic system for retinal implants and sensory substitution. - Nora Gaspar; Anish Sondhi; Benjamin D. Evans; Konstantin Nikolic (BioCAS, 2016)

PyRhO: A Multiscale Optogenetics Simulation Platform. - Benjamin D. Evans; Sarah Jarvis; Simon R. Schultz; Konstantin Nikolic (Frontiers Neuroinformatics, 2016)

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 001; Alex Yakovlev; Patrick Degenaar (IEEE Trans. Biomed. Circuits Syst., 2017)

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; et al. (J. Open Source Softw., 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)

Biological convolutions improve DNN robustness to noise and generalisation. - Benjamin D. Evans; Gaurav Malhotra; Jeffrey S. Bowers (Neural Networks, 2022)

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, 2023)

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)

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)

Adapting to time: Why nature may have evolved a diverse set of neurons. - Karim Habashy; Benjamin D. Evans; Dan F. M. Goodman; Jeffrey S. Bowers (PLoS Comput. Biol., 2024)