Kenneth D. Harris

According to our database, Kenneth D. Harris authored at least 21 papers between 1997 and 2026.

Collaborative distances:

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

2026

A mathematical theory of evolution for self-designing AIs.

Kenneth D. Harris

CoRR, April, 2026

2025

High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model.

Valentin Schmutz, Ali Haydaroglu, Shuqi Wang, Yixiao Feng, Matteo Carandini, Kenneth D. Harris

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2020

On 1/n neural representation and robustness.

Josue Nassar, Piotr A. Sokól, SueYeon Chung, Kenneth D. Harris, Il Memming Park

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

High-dimensional geometry of population responses in visual cortex.

Carsen Stringer, Marius Pachitariu, Nicholas A. Steinmetz, Matteo Carandini, Kenneth D. Harris

Nat., 2019

Characterizing the invariances of learning algorithms using category theory.

Kenneth D. Harris

CoRR, 2019

2018

Community-based benchmarking improves spike rate inference from two-photon calcium imaging data.

Philipp Berens, Jeremy Freeman, Thomas Deneux, Nicolay Chenkov, Thomas McColgan, Artur Speiser, Jakob H. Macke, Srinivas C. Turaga, Patrick J. Mineault, Peter Rupprecht, Stephan Gerhard, Rainer W. Friedrich, Johannes Friedrich, Liam Paninski, Marius Pachitariu, Kenneth D. Harris, Ben Bolte, Timothy A. Machado, Dario Ringach, Jasmine Stone, Luke E. Rogerson, Nicolas J. Sofroniew, Jacob Reimer, Emmanouil Froudarakis, Thomas Euler, Miroslav Román Rosón, Lucas Theis, Andreas S. Tolias, Matthias Bethge

PLoS Comput. Biol., 2018

Coherent encoding of subjective spatial position in visual cortex and hippocampus.

Aman B. Saleem, E. Mika Diamanti, Julien Fournier, Kenneth D. Harris, Matteo Carandini

Nat., 2018

2016

Requirements for storing electrophysiology data.

Friedrich T. Sommer, Thomas Wachtler, Jeffrey L. Teeters, Jan Benda, Andrew P. Davison, Stephen J. Eglen, Richard C. Gerkin, Jeffrey S. Grethe, Jan Grewe, Kenneth D. Harris, Christian Johannes Kellner, Yann Le Franc, Roman Moucek, Dimiter Prodanov, Robert Pröpper, Hyrum L. Sessions, Leslie Smith, Andrey Sobolev, Adrian Stoewer, Barry Wark

CoRR, 2016

Fast and accurate spike sorting of high-channel count probes with KiloSort.

Marius Pachitariu, Nicholas A. Steinmetz, Shabnam N. Kadir, Matteo Carandini, Kenneth D. Harris

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2014

High-Dimensional Cluster Analysis with the Masked EM Algorithm.

Shabnam N. Kadir, Dan F. M. Goodman, Kenneth D. Harris

Neural Comput., 2014

Supervised learning with decision margins in pools of spiking neurons.

Charlotte Le Mouel, Kenneth D. Harris, Pierre Yger

J. Comput. Neurosci., 2014

2013

The Convallis Rule for Unsupervised Learning in Cortical Networks.

Pierre Yger, Kenneth D. Harris

PLoS Comput. Biol., 2013

Hardware-accelerated interactive data visualization for neuroscience in Python.

Cyrille Rossant, Kenneth D. Harris

Frontiers Neuroinformatics, 2013

2010

Methods for predicting cortical UP and DOWN states from the phase of deep layer local field potentials.

Aman B. Saleem, Paul Chadderton, John Apergis-Schoute, Kenneth D. Harris, Simon R. Schultz

J. Comput. Neurosci., 2010

2008

Data Sharing for Computational Neuroscience.

Jeffrey L. Teeters, Kenneth D. Harris, K. Jarrod Millman, Bruno A. Olshausen, Friedrich T. Sommer

Neuroinformatics, 2008

Valuations for Spike Train Prediction.

Vladimir Itskov, Carina Curto, Kenneth D. Harris

Neural Comput., 2008

2005

Firing rate modulation: A simple statistical view of memory trace reactivation.

Francesco P. Battaglia, Gary R. Sutherland, Stephen L. Cowen, Bruce L. McNaughton, Kenneth D. Harris

Neural Networks, 2005

1998

Experimental modelling of time-of-flight sonar.

Kenneth D. Harris, Michael Recce

Robotics Auton. Syst., 1998

Closed Form Probabilistic Models of Time of Flight Sonar.

Kenneth D. Harris

Proceedings of the 12^th European Simulation Multiconference - Simulation, 1998

1997

Absolute localization for a mobile robot using place cells.

Kenneth D. Harris, Michael Recce

Robotics Auton. Syst., 1997

Neural model of a grid-based map for robot sonar.

Kenneth D. Harris, Michael Recce

Proceedings of the Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97, 1997