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Using Point Process Models to Compare Neural Spiking Activity in the Subthalamic Nucleus of Parkinson's Patients and a Healthy Primate.

, , , , , , and . IEEE Trans. Biomed. Engineering, 57 (6): 1297-1305 (2010)

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A Signal Processing Approach to Functional MRI for Brain Mapping., , and . ICIP (2), page 121-123. (1997)Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization., , , and . NIPS, page 2636-2644. (2012)Mixed observation filtering for neural data., and . ICASSP, page 5201-5203. IEEE, (2008)Hemodynamic transfer function estimation with Laguerre polynomials and confidence intervals construction, from functional magnetic resonance imaging (fMRI) data., , , , , and . ICASSP (3), page 109-112. IEEE, (2004)Corrigendum to a hierarchical bayesian approach for learning sparse spatio-temporal decomposition of multichannel EEG NeuroImage 56/4 (2011) 1929-1945., , , and . NeuroImage, 57 (4): 1631 (2011)Computing Confidence Intervals for Point Process Models., , , , , , and . Neural Computation, 23 (11): 2731-2745 (2011)A Point Process Model for Auditory Neurons Considering Both Their Intrinsic Dynamics and the Spectrotemporal Properties of an Extrinsic Signal., , and . IEEE Trans. Biomed. Engineering, 58 (6): 1507-1510 (2011)Robust Estimation of Sparse Narrowband Spectra from Neuronal Spiking Data., , , and . IEEE Trans. Biomed. Engineering, 64 (10): 2462-2474 (2017)Broad Range of Neural Dynamics From a Time-Varying FitzHugh-Nagumo Model and its Spiking Threshold Estimation., , , and . IEEE Trans. Biomed. Engineering, 59 (3): 816-823 (2012)Construction of Point Process Adaptive Filter Algorithms for Neural Systems Using Sequential Monte Carlo Methods., , , , and . IEEE Trans. Biomed. Engineering, 54 (3): 419-428 (2007)