Matthew D. Golub

According to our database, Matthew D. Golub authored at least 6 papers between 2012 and 2019.

Collaborative distances:

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

2019

Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics.

Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub, Surya Ganguli, David Sussillo

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Universality and individuality in neural dynamics across large populations of recurrent networks.

Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub, Surya Ganguli, David Sussillo

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks.

Matthew D. Golub, David Sussillo

J. Open Source Softw., 2018

2014

Neural constraints on learning.

Patrick T. Sadtler, Kristin M. Quick, Matthew D. Golub, Steven M. Chase, Stephen I. Ryu, Elizabeth C. Tyler-Kabara, Byron M. Yu, Aaron P. Batista

Nat., 2014

2013

Learning an Internal Dynamics Model from Control Demonstration.

Matthew D. Golub, Steven M. Chase, Byron M. Yu

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Internal models engaged by brain-computer interface control.

Matthew D. Golub, Byron M. Yu, Steven M. Chase

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012