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Uri T Eden

Showing results (1-10 of 88) with videos related to

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IEEE Transactions on Bio-Medical Engineering|June 11, 2025
A State-Space Framework for Causal Detection of Hippocampal Ripple-Replay EventsSirui Zeng, Uri T Eden
Arxiv|February 24, 2025
A state-space framework for causal detection of hippocampal ripple-replay eventsSirui Zeng, Uri T Eden
Journal of Neuroscience Methods|April 27, 2010
Drawing inferences from Fano factor calculationsUri T Eden, Mark A Kramer
Statistica Sinica|November 9, 2011
CONTINUOUS-TIME FILTERS FOR STATE ESTIMATION FROM POINT PROCESS MODELS OF NEURAL DATAUri T Eden, Emery N Brown
Neural Computation|July 8, 2011
A general likelihood framework for characterizing the time course of neural activityMichael J Prerau, Uri T Eden
Neural Computation|October 25, 2017
Capturing Spike Variability in Noisy Izhikevich Neurons Using Point Process Generalized Linear ModelsJacob Østergaard, Mark A Kramer, Uri T Eden
IEEE Access : Practical Innovations, Open Solutions|May 24, 2023
Integrating Statistical and Machine Learning Approaches for Neural ClassificationMehrad Sarmashghi, Shantanu P Jadhav, Uri T Eden
Journal of Neural Engineering|November 8, 2011
A sequential Monte Carlo approach to estimate biophysical neural models from spikesLiang Meng, Mark A Kramer, Uri T Eden
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Using point process models to describe rhythmic spiking in the subthalamic nucleus of Parkinson's patientsUri T Eden, Ramin Amirnovin, Emad N Eskandar
Chaos (Woodbury, N.Y.)|January 7, 2014
A point process approach to identifying and tracking transitions in neural spiking dynamics in the subthalamic nucleus of Parkinson's patientsXinyi Deng, Emad N Eskandar, Uri T Eden
Pageof 9

Showing results (1-10 of 88) with videos related to

Sort By:
Pageof 9
IEEE Transactions on Bio-Medical Engineering|June 11, 2025
A State-Space Framework for Causal Detection of Hippocampal Ripple-Replay EventsSirui Zeng, Uri T Eden
Arxiv|February 24, 2025
A state-space framework for causal detection of hippocampal ripple-replay eventsSirui Zeng, Uri T Eden
Journal of Neuroscience Methods|April 27, 2010
Drawing inferences from Fano factor calculationsUri T Eden, Mark A Kramer
Statistica Sinica|November 9, 2011
CONTINUOUS-TIME FILTERS FOR STATE ESTIMATION FROM POINT PROCESS MODELS OF NEURAL DATAUri T Eden, Emery N Brown
Neural Computation|July 8, 2011
A general likelihood framework for characterizing the time course of neural activityMichael J Prerau, Uri T Eden
Neural Computation|October 25, 2017
Capturing Spike Variability in Noisy Izhikevich Neurons Using Point Process Generalized Linear ModelsJacob Østergaard, Mark A Kramer, Uri T Eden
IEEE Access : Practical Innovations, Open Solutions|May 24, 2023
Integrating Statistical and Machine Learning Approaches for Neural ClassificationMehrad Sarmashghi, Shantanu P Jadhav, Uri T Eden
Journal of Neural Engineering|November 8, 2011
A sequential Monte Carlo approach to estimate biophysical neural models from spikesLiang Meng, Mark A Kramer, Uri T Eden
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Using point process models to describe rhythmic spiking in the subthalamic nucleus of Parkinson's patientsUri T Eden, Ramin Amirnovin, Emad N Eskandar
Chaos (Woodbury, N.Y.)|January 7, 2014
A point process approach to identifying and tracking transitions in neural spiking dynamics in the subthalamic nucleus of Parkinson's patientsXinyi Deng, Emad N Eskandar, Uri T Eden
Pageof 9