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Uri T. Eden
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2020 – today
- 2024
- [j25]Navid Ziaei, Behzad Nazari, Uri T. Eden, Alik S. Widge, Ali Yousefi:
A Bayesian Gaussian Process-Based Latent Discriminative Generative Decoder (LDGD) Model for High-Dimensional Data. IEEE Access 12: 113314-113335 (2024) - [j24]Laura Dipietro, Uri T. Eden, Seth Elkin-Frankston, Mirret M. El-Hagrassy, Deniz Doruk Camsari, Ciro Ramos-Estebanez, Felipe Fregni, Timothy Wagner:
Integrating Big Data, Artificial Intelligence, and motion analysis for emerging precision medicine applications in Parkinson's Disease. J. Big Data 11(1): 155 (2024) - 2022
- [j23]Mehrad Sarmashghi, Shantanu P. Jadhav, Uri T. Eden:
Integrating Statistical and Machine Learning Approaches for Neural Classification. IEEE Access 10: 119106-119118 (2022) - [j22]Mohammad R. Rezaei, Alex E. Hadjinicolaou, Sydney S. Cash, Uri T. Eden, Ali Yousefi:
Direct Discriminative Decoder Models for Analysis of High-Dimensional Dynamical Neural Data. Neural Comput. 34(5): 1100-1135 (2022) - [c19]Wan-Chi Hsin, Uri T. Eden, Emily Patricia Stephen:
Switching Functional Network Models of Oscillatory Brain Dynamics. IEEECONF 2022: 607-612 - [i1]Mehrad Sarmashghi, Shantanu P. Jadhav, Uri T. Eden:
Integrating Statistical and Machine Learning Approaches to Identify Receptive Field Structure in Neural Populations. CoRR abs/2208.12025 (2022) - 2021
- [c18]Hyeon Jin Kim, Shuqiang Chen, Uri T. Eden, Michael J. Prerau:
A Quantitative Representation of Continuous Brain State During Sleep. NER 2021: 103-106 - 2020
- [j21]Ali Yousefi, Yalda Amidi, Behzad Nazari, Uri T. Eden:
Assessing Goodness-of-Fit in Marked Point Process Models of Neural Population Coding via Time and Rate Rescaling. Neural Comput. 32(11): 2145-2186 (2020) - [c17]Sahand Farhoodi, Mark Plitt, Lisa M. Giocomo, Uri T. Eden:
Estimating Fluctuations in Neural Representations of Uncertain Environments. NeurIPS 2020
2010 – 2019
- 2019
- [j20]Ali Yousefi, Ishita Basu, Angelique C. Paulk, Noam Peled, Emad N. Eskandar, Darin D. Dougherty, Sydney S. Cash, Alik S. Widge, Uri T. Eden:
Decoding Hidden Cognitive States From Behavior and Physiology Using a Bayesian Approach. Neural Comput. 31(9): 1751-1788 (2019) - [j19]Ali Yousefi, Anna K. Gillespie, Jennifer A. Guidera, Mattias P. Karlsson, Loren M. Frank, Uri T. Eden:
Efficient Decoding of Multi-Dimensional Signals From Population Spiking Activity Using a Gaussian Mixture Particle Filter. IEEE Trans. Biomed. Eng. 66(12): 3486-3498 (2019) - [c16]Eric L. Denovellis, Loren M. Frank, Uri T. Eden:
Characterizing hippocampal replay using hybrid point process state space models. ACSSC 2019: 245-249 - [c15]Yalda Amidi, Angelique C. Paulk, Darin D. Dougherty, Sydney S. Cash, Alik S. Widge, Uri T. Eden, Ali Yousefi:
Continuous Prediction of Cognitive State Using A Marked-Point Process Modeling Framework. EMBC 2019: 2933-2938 - [c14]Ali Yousefi, Reza Saadati Fard, Uri T. Eden, Emery N. Brown:
State-Space Global Coherence to Estimate the Spatio-Temporal Dynamics of the Coordinated Brain Activity. EMBC 2019: 5794-5798 - 2018
- [j18]Long Tao, Karoline E. Weber, Kensuke Arai, Uri T. Eden:
A common goodness-of-fit framework for neural population models using marked point process time-rescaling. J. Comput. Neurosci. 45(2): 147-162 (2018) - [j17]Jacob Østergaard, Mark A. Kramer, Uri T. Eden:
Capturing Spike Variability in Noisy Izhikevich Neurons Using Point Process Generalized Linear Models. Neural Comput. 30(1) (2018) - [c13]Yalda Amidi, Behzad Nazari, Saeed Sadri, Uri T. Eden, Ali Yousefi:
Parameter Estimation in Synaptic Coupling Model Using a Point Process Modeling Framework*. EMBC 2018: 2362-2365 - [c12]Mohammad R. Rezaei, Anna K. Gillespie, Jennifer A. Guidera, Behzad Nazari, Saeid Sadri, Loren M. Frank, Uri T. Eden, Ali Yousefi:
A Comparison Study of Point-Process Filter and Deep Learning Performance in Estimating Rat Position Using an Ensemble of Place Cells. EMBC 2018: 4732-4735 - 2017
- [c11]Ali Yousefi, Reza Kakooee, Mohammad T. H. Beheshti, Darin D. Dougherty, Emad N. Eskandar, Alik S. Widge, Uri T. Eden:
Predicting learning dynamics in Multiple-Choice Decision-Making Tasks using a variational Bayes technique. EMBC 2017: 3194-3197 - 2015
- [j16]Xinyi Deng, Daniel F. Liu, Kenneth Kay, Loren M. Frank, Uri T. Eden:
Clusterless Decoding of Position from Multiunit Activity Using a Marked Point Process Filter. Neural Comput. 27(7): 1438-1460 (2015) - [j15]Mikio Aoi, Kyle Q. Lepage, Yoonseob Lim, Uri T. Eden, Timothy J. Gardner:
An Approach to Time-Frequency Analysis With Ridges of the Continuous Chirplet Transform. IEEE Trans. Signal Process. 63(3): 699-710 (2015) - [c10]Xinyi Deng, Rose T. Faghih, Riccardo Barbieri, Angelique C. Paulk, Wael F. Asaad, Emery N. Brown, Darin D. Dougherty, Alik S. Widge, Emad N. Eskandar, Uri T. Eden:
Estimating a dynamic state to relate neural spiking activity to behavioral signals during cognitive tasks. EMBC 2015: 7808-7813 - [c9]Ali Yousefi, Angelique C. Paulk, Thilo Deckersbach, Darin D. Dougherty, Emad N. Eskandar, Alik S. Widge, Uri T. Eden:
Cognitive state prediction using an EM algorithm applied to Gamma distributed data. EMBC 2015: 7819-7824 - 2014
- [j14]Emily Patricia Stephen, Kyle Q. Lepage, Uri T. Eden, Peter Brunner, Gerwin Schalk, Jonathan S. Brumberg, Frank H. Guenther, Mark A. Kramer:
Assessing dynamics, spatial scale, and uncertainty in task-related brain network analyses. Frontiers Comput. Neurosci. 8: 31 (2014) - [j13]Tim A. Wagner, Uri T. Eden, Jarrett Rushmore, Christopher J. Russo, Laura Dipietro, Felipe Fregni, Stephen Simon, Stephen Rotman, Naomi B. Pitskel, Ciro Ramos-Estebanez, Alvaro Pascual-Leone, Alan J. Grodzinsky, Markus Zahn, Antoni Valero-Cabré:
Impact of brain tissue filtering on neurostimulation fields: A modeling study. NeuroImage 85: 1048-1057 (2014) - [c8]Sridevi V. Sarma, Sabato Santaniello, Uri T. Eden:
Modeling, estimation and control of neurons and neuronal networks. MED 2014: 1202-1204 - 2013
- [j12]Kyle Q. Lepage, Mark A. Kramer, Uri T. Eden:
Some Sampling Properties of Common Phase Estimators. Neural Comput. 25(4): 901-921 (2013) - [j11]Felipe Gerhard, Tilman Kispersky, Gabrielle J. Gutierrez, Eve Marder, Mark A. Kramer, Uri T. Eden:
Successful Reconstruction of a Physiological Circuit with Known Connectivity from Spiking Activity Alone. PLoS Comput. Biol. 9(7) (2013) - [j10]Eugene Zaydens, J. Andrew Taylor, Michael A. Cohen, Uri T. Eden:
Characterization and Modeling of Muscle Sympathetic Nerve Spiking. IEEE Trans. Biomed. Eng. 60(10): 2914-2924 (2013) - [c7]Michael J. Prerau, Patrick L. Purdon, Uri T. Eden:
Tracking non-stationary spectral peak structure in EEG data. EMBC 2013: 417-420 - 2011
- [j9]Kyle Q. Lepage, Mark A. Kramer, Uri T. Eden:
The Dependence of Spike Field Coherence on Expected Intensity. Neural Comput. 23(9): 2209-2241 (2011) - [j8]Michael J. Prerau, Uri T. Eden:
A General Likelihood Framework for Characterizing the Time Course of Neural Activity. Neural Comput. 23(10): 2537-2566 (2011) - [c6]Uri T. Eden, Ramin Amirnovin, Emad N. Eskandar:
Using point process models to describe rhythmic spiking in the subthalamic nucleus of Parkinson's patients. EMBC 2011: 757-760 - 2010
- [j7]Sridevi V. Sarma, Uri T. Eden, Ming L. Cheng, Ziv Williams, Rollin Hu, Emad N. Eskandar, Emery N. Brown:
Using Point Process Models to Compare Neural Spiking Activity in the Subthalamic Nucleus of Parkinson's Patients and a Healthy Primate. IEEE Trans. Biomed. Eng. 57(6): 1297-1305 (2010)
2000 – 2009
- 2009
- [j6]Yifei Huang, Mark P. Brandon, Amy L. Griffin, Michael E. Hasselmo, Uri T. Eden:
Decoding Movement Trajectories Through a T-Maze Using Point Process Filters Applied to Place Field Data from Rat Hippocampal Region CA1. Neural Comput. 21(12): 3305-3334 (2009) - [c5]Sridevi V. Sarma, Uri T. Eden, Ming L. Cheng, Ziv Williams, Emad N. Eskandar, Emery N. Brown:
Using point process models to determine the impact of visual cues on basal ganglia activity and behavior of Parkinson's patients. CDC 2009: 7716-7722 - 2008
- [j5]Michael J. Prerau, Anne C. Smith, Uri T. Eden, Marianna Yanike, Wendy A. Suzuki, Emery N. Brown:
A mixed filter algorithm for cognitive state estimation from simultaneously recorded continuous and binary measures of performance. Biol. Cybern. 99(1): 1-14 (2008) - [c4]Sridevi V. Sarma, Ming L. Cheng, Uri T. Eden, Rollin Hu, Ziv Williams, Emery N. Brown, Emad N. Eskandar:
Modeling neural spiking activity in the sub-thalamic nucleus of Parkinson's patients and a healthy primate. CDC 2008: 2012-2017 - [c3]Uri T. Eden, Emery N. Brown:
Mixed observation filtering for neural data. ICASSP 2008: 5201-5203 - 2007
- [j4]Ayla Ergün, Riccardo Barbieri, Uri T. Eden, Matthew A. Wilson, Emery N. Brown:
Construction of Point Process Adaptive Filter Algorithms for Neural Systems Using Sequential Monte Carlo Methods. IEEE Trans. Biomed. Eng. 54(3): 419-428 (2007) - [c2]Gabriela Czanner, Anna A. Dreyer, Uri T. Eden, Sylvia Wirth, Hubert H. Lim, Wendy A. Suzuki, Emery N. Brown:
Dynamic models of neural spiking activity. CDC 2007: 5812-5817 - [c1]Uri T. Eden:
Point process adaptive filters for neural data analysis: Theory and applications. CDC 2007: 5818-5825 - 2006
- [j3]Lakshminarayan Srinivasan, Uri T. Eden, Alan S. Willsky, Emery N. Brown:
A State-Space Analysis for Reconstruction of Goal-Directed Movements Using Neural Signals. Neural Comput. 18(10): 2465-2494 (2006) - [j2]Tim A. Wagner, Felipe Fregni, Uri T. Eden, Ciro Ramos-Estebanez, Alan J. Grodzinsky, Markus Zahn, Alvaro Pascual-Leone:
Transcranial magnetic stimulation and stroke: A computer-based human model study. NeuroImage 30(3): 857-870 (2006) - 2004
- [j1]Uri T. Eden, Loren M. Frank, Riccardo Barbieri, Victor Solo, Emery N. Brown:
Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering. Neural Comput. 16(5): 971-998 (2004)
Coauthor Index
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last updated on 2024-12-19 22:13 CET by the dblp team
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