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Neural Computation|March 19, 2009
Maximally reliable Markov chains under energy constraintsSean Escola, Michael Eisele, Kenneth Miller, et al.Journal of Computational Neuroscience|November 18, 2011
Inferring synaptic inputs given a noisy voltage trace via sequential Monte Carlo methodsLiam Paninski, Michael Vidne, Brian DePasquale, et al.IEEE Transactions on Bio-Medical Engineering|August 22, 2018
Developing a Three- to Six-State EEG-Based Brain-Computer Interface for a Virtual Robotic Manipulator ControlYuriy Mishchenko, Murat Kaya, Erkan Ozbay, et al.Biorxiv : the Preprint Server for Biology|June 9, 2023
Bayesian target optimisation for high-precision holographic optogeneticsMarcus A Triplett, Marta Gajowa, Hillel Adesnik, et al.Journal of Neurophysiology|April 23, 2011
Designing optimal stimuli to control neuronal spike timingYashar Ahmadian, Adam M Packer, Rafael Yuste, et al.Journal of Neurophysiology|April 21, 2006
Efficient estimation of detailed single-neuron modelsQuentin J M Huys, Misha B Ahrens, Liam PaninskiPlos Computational Biology|May 19, 2016
Neuroprosthetic Decoder Training as Imitation LearningJosh Merel, David Carlson, Liam Paninski, et al.Journal of Neuroscience Methods|May 22, 2016
Bayesian methods for event analysis of intracellular currentsJosh Merel, Ben Shababo, Alex Naka, et al.IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|June 6, 2009
Neural decoding of hand motion using a linear state-space model with hidden statesWei Wu, Jayant E Kulkarni, Nicholas G Hatsopoulos, et al.Advances in Neural Information Processing Systems|August 26, 2025
Towards robust and generalizable representations of extracellular data using contrastive learningAnkit Vishnubhotla, Charlotte Loh, Liam Paninski, et al.Pageof 15