Practical tools for complex data: predicting spikes from stimulus and calcium imaging signals

Abstract

Practical tools for complex data: predicting spikes from stimulus and calcium imaging signals - NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS Practical tools for complex data: predicting spikes from stimulus and calcium imaging signals Bethge, Matthias Abstract Publication: Olfaction Pub Date: July 2015 Bibcode: 2015olfa.confE..28B Keywords: Biophysics; Neuroscience No Sources Found Related Materials (1) Supporting Media © The SAO/NASA Astrophysics Data System adshelp[at]cfa.harvard.edu The ADS is operated by the Smithsonian Astrophysical Observatory under NASA Cooperative Agreement NNX16AC86A NASA logo Smithsonian logo Resources About ADS ADS Help What’s New Careers@ADS Social @adsabs ADS Blog Project Switch to full ADS Is ADS down? (or is it just me…) Smithsonian Institution Smithsonian Privacy Notice Smithsonian Terms of Use Smithsonian …

Matthias Bethge
Matthias Bethge
Professor for Computational Neuroscience and Machine Learning & Director of the Tübingen AI Center

Matthias Bethge is Professor for Computational Neuroscience and Machine Learning at the University of Tübingen and director of the Tübingen AI Center, a joint center between Tübingen University and MPI for Intelligent Systems that is part of the German AI strategy.