Search Results for author: Christian Schmid

Found 2 papers, 2 papers with code

Distinguishing Learning Rules with Brain Machine Interfaces

1 code implementation27 Jun 2022 Jacob P. Portes, Christian Schmid, James M. Murray

Supervised learning requires a credit-assignment model estimating the mapping from neural activity to behavior, and, in a biological organism, this model will inevitably be an imperfect approximation of the ideal mapping, leading to a bias in the direction of the weight updates relative to the true gradient.

reinforcement-learning Reinforcement Learning (RL)

No Time for Dead Time: Timing analysis of bright black hole binaries with NuSTAR

1 code implementation10 Sep 2014 Matteo Bachetti, Fiona A. Harrison, Rick Cook, John Tomsick, Christian Schmid, Brian W. Grefenstette, Didier Barret, Steven E. Boggs, Finn E. Christensen, William W. Craig, Andrew C. Fabian, Felix Fürst, Poshak Gandhi, Charles J. Hailey, Erin Kara, Thomas J. Maccarone, Jon M. Miller, Katja Pottschmidt, Daniel Stern, Phil Uttley, Dominic J. Walton, Jörn Wilms, William W. Zhang

The most obvious effect is a distortion of the white noise level in the power density spectrum (PDS) that cannot be modeled easily with the standard techniques due to the variable nature of the dead time.

High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics

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