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Identification of sparse neural functional connectivity using penalized likelihood estimation and basis functions., , , , , , and . J. Comput. Neurosci., 35 (3): 335-357 (2013)Estimation and statistical validation of event-invariant nonlinear dynamic models of hippocampal CA3-CA1 population activities., , , , , and . EMBC, page 3330-3333. IEEE, (2011)Physiologically Plausible Stochastic Nonlinear Kernel Models of Spike Train to Spike Train Transformation., , , , , and . EMBC, page 6129-6132. IEEE, (2006)Nonlinear modeling of dynamic interactions within neuronal ensembles using Principal Dynamic Modes., , , , , and . J. Comput. Neurosci., 34 (1): 73-87 (2013)Tracking the changes of hippocampal population nonlinear dynamics in rats learning a memory-dependent task., , , , , , , and . EMBC, page 3326-3329. IEEE, (2011)Dynamic nonlinear modeling of interactions between neuronal ensembles using principal dynamic modes., , , , , and . EMBC, page 3334-3337. IEEE, (2011)Sparse generalized volterra model of human hippocampal spike train transformation for memory prostheses., , , , , and . EMBC, page 3961-3964. IEEE, (2015)Neural Activity in Frontal Cortical Cell Layers: Evidence for Columnar Sensorimotor Processing., , , , and . J. Cogn. Neurosci., 23 (6): 1507-1521 (2011)Decoding memory features from hippocampal spiking activities using sparse classification models., , , , , and . EMBC, page 1620-1623. IEEE, (2016)On parsing the neural code in the prefrontal cortex of primates using principal dynamic modes., , , , , and . J. Comput. Neurosci., 36 (3): 321-337 (2014)