Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for L. F. Abbott

Credit Assignment Through Broadcasting a Global Error Vector

Jun 08, 2021
David G. Clark, L. F. Abbott, SueYeon Chung

* 18 pages, 6 figures 

  Access Paper or Ask Questions

Neural population geometry: An approach for understanding biological and artificial neural networks

Apr 17, 2021
SueYeon Chung, L. F. Abbott

  Access Paper or Ask Questions

Training dynamically balanced excitatory-inhibitory networks

Dec 29, 2018
Alessandro Ingrosso, L. F. Abbott

* 12 pages, 7 figures 

  Access Paper or Ask Questions

Feedback alignment in deep convolutional networks

Dec 12, 2018
Theodore H. Moskovitz, Ashok Litwin-Kumar, L. F. Abbott

  Access Paper or Ask Questions

full-FORCE: A Target-Based Method for Training Recurrent Networks

Oct 09, 2017
Brian DePasquale, Christopher J. Cueva, Kanaka Rajan, G. Sean Escola, L. F. Abbott

* 20 pages, 8 figures 

  Access Paper or Ask Questions

Balanced Excitation and Inhibition are Required for High-Capacity, Noise-Robust Neuronal Selectivity

May 03, 2017
Ran Rubin, L. F. Abbott, Haim Sompolinsky

* Proceedings of the National Academy of Sciences of the United States of America, 114(41), 2017 
* Article and supplementary information 

  Access Paper or Ask Questions

LFADS - Latent Factor Analysis via Dynamical Systems

Aug 22, 2016
David Sussillo, Rafal Jozefowicz, L. F. Abbott, Chethan Pandarinath

* 16 pages, 11 figures 

  Access Paper or Ask Questions

Random Walk Initialization for Training Very Deep Feedforward Networks

Feb 27, 2015
David Sussillo, L. F. Abbott

* 10 pages, 4 figures 

  Access Paper or Ask Questions