1. Tensor Analysis Reveals Distinct Population Structure that Parallels the Different Computational Roles of Areas M1 and V1 Seely, Jeffrey Scott; Kaufman, Matthew T.; Ryu, Stephen I.; Shenoy, Krishna V.; Cunningham, John Patrick; Churchland, Mark M. 2016 Articles Motor cortexCalculus of tensorsNeuronsVisual cortexNeurosciencesBiometry
2. Multi-scale approaches for high-speed imaging and analysis of large neural populations Friedrich, Johannes; Yang, Weijian; Soudry, Daniel; Mu, Yu; Ahrens, Misha B.; Yuste, Rafael; Peterka, Darcy S.; Paninski, Liam 2017 Articles Brain--ImagingNeurosciencesNeuronsComputational biology
3. Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data Zhou, Pengcheng; Resendez, Shanna L.; Rodriguez-Romaguera, Jose; Jimenez, Jessica; Neufeld, Shay Q.; Giovannucci, Andrea; Friedrich, Johannes; Pnevmatikakis, Eftychios; Stuber, Garret D.; Hen, Rene; Kheirbek, Mazen A.; Sabatini, Bernardo L.; Kass, Robert E.; Paninski, Liam 2018 Articles NeurosciencesNeuronsBiometryEndoscopyStatistics
4. Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral Inhibition Buesing, Lars; Habenschuss, Stefan; Bill, Johannes; Nessler, Bernhard; Maass, Wolfgang; Legenstein, Robert 2015 Articles NeuroplasticityNeuronsInhibitionBayesian statistical decision theoryNeurosciencesMolecular biologyStatistics
5. A Generalizable Brain-Computer Interface (BCI) Using Machine Learning for Feature Discovery Nurse, Ewan S.; Karoly, Philippa J.; Grayden, David B.; Freestone, Dean R. 2015 Articles Brain-computer interfacesElectroencephalography--Computer programsMachine learningNeuronsNeural networks (Computer science)Neurosciences