Bayesian inference for biophysical neuron models enables stimulus optimization for retinal neuroprosthetics
Jonathan Oesterle, Christian Behrens, Cornelius Schröder, Thoralf Herrmann, Thomas Euler, Katrin Franke, Robert G. Smith, Günther M. Zeck, Philipp Berens
This paper uses Bayesian inference to estimate parameters of retinal neuron models from imaging data and optimizes stimulus waveforms for retinal neuroprosthetics.
eLife · Oct 27, 2020Peer-reviewedNeuroscience