14 citations · 40 across the 9 of their papers we have counts for
9 papers
The martingale Z-test
Kenneth D. Harris
We describe a statistical test for association of two autocorrelated time series, one of which generated randomly at each time point from a known but possibly history-dependent dis…
Tests for partial correlation between repeatedly observed nonstationary nonlinear timeseries
Kenneth D. Harris, Alex E. Yuan
We describe two families of statistical tests to detect partial correlation in vectorial timeseries. The tests measure whether an observed timeseries Y can be predicted from a seco…
A Shift Test for Independence in Generic Time Series
Kenneth D. Harris
We describe a family of conservative statistical tests for independence of two autocorrelated time series. The series may take values in any sets, and one of them must be stationar…
On 1/n neural representation and robustness
Josue Nassar, Piotr Aleksander Sokol, SueYeon Chung +2
Understanding the nature of representation in neural networks is a goal shared by neuroscience and machine learning. It is therefore exciting that both fields converge not only on…
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…
Grand Challenges for Global Brain Sciences
Joshua T. Vogelstein, Katrin Amunts, Andreas Andreou +59
The next grand challenges for society and science are in the brain sciences. A collection of 60+ scientists from around the world, together with 10+ observers from national, privat…
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…
High-dimensional cluster analysis with the Masked EM Algorithm
Shabnam N. Kadir, Dan F. M. Goodman, Kenneth D. Harris
Cluster analysis faces two problems in high dimensions: first, the `curse of dimensionality' that can lead to overfitting and poor generalization performance; and second, the sheer…
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.