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Sensory information in local field potentials and spikes from visual and auditory cortices: time scales and frequency bands., , , , and . J. Comput. Neurosci., 29 (3): 533-545 (2010)Optimal Tuning Widths in Population Coding of Periodic Variables., and . Neural Comput., 18 (7): 1555-1576 (2006)Understanding the relationships between spike rate and delta/gamma frequency bands of LFPs and EEGs using a local cortical network model., , , , and . NeuroImage, 52 (3): 956-972 (2010)A Global Sensitivity Index for Biophysically Detailed Cardiac Cell Models: A Computational Approach., , , and . FIMH, volume 5528 of Lecture Notes in Computer Science, page 366-375. Springer, (2009)Sampling bias., , and . Scholarpedia, 3 (9): 4258 (2008)Spike time based unsupervised learning of receptive fields for event-driven vision., , and . ICRA, page 4258-4264. IEEE, (2015)Quantitative evaluation of muscle synergy models: a single-trial task decoding approach., , , and . Frontiers Comput. Neurosci., (2013)Space-by-time decomposition for single-trial decoding of M/EEG activity., , , , and . NeuroImage, (2016)SmaRT2P: a software for generating and processing smart line recording trajectories for population two-photon calcium imaging., , , and . Brain Informatics, 9 (1): 18 (2022)Toward statistically valid population decoding models., , and . Neurocomputing, (2002)