Search Results for author: Jonathan C. Kao

Found 2 papers, 0 papers with code

Usable Information and Evolution of Optimal Representations During Training

no code implementations ICLR 2021 Michael Kleinman, Alessandro Achille, Daksh Idnani, Jonathan C. Kao

We introduce a notion of usable information contained in the representation learned by a deep network, and use it to study how optimal representations for the task emerge during training.

Decision Making Image Classification

Making brain-machine interfaces robust to future neural variability

no code implementations19 Oct 2016 David Sussillo, Sergey D. Stavisky, Jonathan C. Kao, Stephen I. Ryu, Krishna V. Shenoy

A major hurdle to clinical translation of brain-machine interfaces (BMIs) is that current decoders, which are trained from a small quantity of recent data, become ineffective when neural recording conditions subsequently change.


Cannot find the paper you are looking for? You can Submit a new open access paper.