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Jakob Macke

Showing results (1-10 of 5) with videos related to

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Frontiers in Computational Neuroscience|December 17, 2009
Bayesian population decoding of spiking neuronsSebastian Gerwinn, Jakob Macke, Matthias Bethge
Frontiers in Computational Neuroscience|August 18, 2011
Statistical analysis of multi-cell recordings: linking population coding models to experimental dataJakob Macke, Philipp Berens, Matthias Bethge
Magnetic Resonance Imaging|August 12, 2008
Comparison of pattern recognition methods in classifying high-resolution BOLD signals obtained at high magnetic field in monkeysShih-pi Ku, Arthur Gretton, Jakob Macke, et al.
Journal of Neurophysiology|April 28, 2012
Low error discrimination using a correlated population codeGreg Schwartz, Jakob Macke, Dario Amodei, et al.
Biorxiv : the Preprint Server for Biology|January 13, 2025
Combined statistical-biophysical modeling links ion channel genes to physiology of cortical neuron typesYves Bernaerts, Michael Deistler, Pedro J Gonçalves, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Frontiers in Computational Neuroscience|December 17, 2009
Bayesian population decoding of spiking neuronsSebastian Gerwinn, Jakob Macke, Matthias Bethge
Frontiers in Computational Neuroscience|August 18, 2011
Statistical analysis of multi-cell recordings: linking population coding models to experimental dataJakob Macke, Philipp Berens, Matthias Bethge
Magnetic Resonance Imaging|August 12, 2008
Comparison of pattern recognition methods in classifying high-resolution BOLD signals obtained at high magnetic field in monkeysShih-pi Ku, Arthur Gretton, Jakob Macke, et al.
Journal of Neurophysiology|April 28, 2012
Low error discrimination using a correlated population codeGreg Schwartz, Jakob Macke, Dario Amodei, et al.
Biorxiv : the Preprint Server for Biology|January 13, 2025
Combined statistical-biophysical modeling links ion channel genes to physiology of cortical neuron typesYves Bernaerts, Michael Deistler, Pedro J Gonçalves, et al.
Pageof 1