2 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.LG2019★ 2 cited
Characterizing the invariances of learning algorithms using category theory
Kenneth D. Harris
Many learning algorithms have invariances: when their training data is transformed in certain ways, the function they learn transforms in a predictable manner. Here we formalize th…
cs.OH2016
Requirements for storing electrophysiology data
Jeff Teeters, Jan Benda, Andrew Davison +17
The purpose of this document is to specify the basic data types required for storing electrophysiology and optical imaging data to facilitate computer-based neuroscience studies an…
q-bio.NC2013★ 2 cited
How (not) to assess the importance of correlations for the matching of spontaneous and evoked activity: a response
Michael Okun, Pierre Yger, Kenneth D. Harris
A response to a comment of Fiser et al.