Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering. - Uri T. Eden; Loren M. Frank; Riccardo Barbieri; Victor Solo; Emery N. Brown (Neural Comput., 2004)

A State-Space Analysis for Reconstruction of Goal-Directed Movements Using Neural Signals. - Lakshminarayan Srinivasan; Uri T. Eden; Alan S. Willsky; Emery N. Brown (Neural Comput., 2006)

Transcranial magnetic stimulation and stroke: A computer-based human model study. - Tim A. Wagner; Felipe Fregni; Uri T. Eden; Ciro Ramos-Estebanez; Alan J. Grodzinsky; Markus Zahn; Alvaro Pascual-Leone (NeuroImage, 2006)

Dynamic models of neural spiking activity. - Gabriela Czanner; Anna A. Dreyer; Uri T. Eden; Sylvia Wirth; Hubert H. Lim; Wendy A. Suzuki; Emery N. Brown (CDC, 2007)

Point process adaptive filters for neural data analysis: Theory and applications. - Uri T. Eden (CDC, 2007)

Construction of Point Process Adaptive Filter Algorithms for Neural Systems Using Sequential Monte Carlo Methods. - Ayla Ergün; Riccardo Barbieri; Uri T. Eden; Matthew A. Wilson; Emery N. Brown (IEEE Trans. Biomed. Eng., 2007)

Modeling neural spiking activity in the sub-thalamic nucleus of Parkinson's patients and a healthy primate. - Sridevi V. Sarma; Ming L. Cheng; Uri T. Eden; Rollin Hu; Ziv Williams; Emery N. Brown; Emad N. Eskandar (CDC, 2008)

Mixed observation filtering for neural data. - Uri T. Eden; Emery N. Brown (ICASSP, 2008)

A mixed filter algorithm for cognitive state estimation from simultaneously recorded continuous and binary measures of performance. - Michael J. Prerau; Anne C. Smith; Uri T. Eden; Marianna Yanike; Wendy A. Suzuki; Emery N. Brown (Biol. Cybern., 2008)

Using point process models to determine the impact of visual cues on basal ganglia activity and behavior of Parkinson's patients. - Sridevi V. Sarma; Uri T. Eden; Ming L. Cheng; Ziv Williams; Emad N. Eskandar; Emery N. Brown (CDC, 2009)

Decoding Movement Trajectories Through a T-Maze Using Point Process Filters Applied to Place Field Data from Rat Hippocampal Region CA1. - Yifei Huang; Mark P. Brandon; Amy L. Griffin 002; Michael E. Hasselmo; Uri T. Eden (Neural Comput., 2009)

Using Point Process Models to Compare Neural Spiking Activity in the Subthalamic Nucleus of Parkinson's Patients and a Healthy Primate. - Sridevi V. Sarma; Uri T. Eden; Ming L. Cheng; Ziv Williams; Rollin Hu; Emad N. Eskandar; Emery N. Brown (IEEE Trans. Biomed. Eng., 2010)

Using point process models to describe rhythmic spiking in the subthalamic nucleus of Parkinson's patients. - Uri T. Eden; Ramin Amirnovin; Emad N. Eskandar (EMBC, 2011)

The Dependence of Spike Field Coherence on Expected Intensity. - Kyle Q. Lepage; Mark A. Kramer; Uri T. Eden (Neural Comput., 2011)

A General Likelihood Framework for Characterizing the Time Course of Neural Activity. - Michael J. Prerau; Uri T. Eden (Neural Comput., 2011)

Tracking non-stationary spectral peak structure in EEG data. - Michael J. Prerau; Patrick L. Purdon; Uri T. Eden (EMBC, 2013)

Some Sampling Properties of Common Phase Estimators. - Kyle Q. Lepage; Mark A. Kramer; Uri T. Eden (Neural Comput., 2013)

Successful Reconstruction of a Physiological Circuit with Known Connectivity from Spiking Activity Alone. - Felipe Gerhard; Tilman Kispersky; Gabrielle J. Gutierrez; Eve Marder; Mark A. Kramer; Uri T. Eden (PLoS Comput. Biol., 2013)

Characterization and Modeling of Muscle Sympathetic Nerve Spiking. - Eugene Zaydens; J. Andrew Taylor; Michael A. Cohen; Uri T. Eden (IEEE Trans. Biomed. Eng., 2013)

Modeling, estimation and control of neurons and neuronal networks. - Sridevi V. Sarma; Sabato Santaniello; Uri T. Eden (MED, 2014)

Assessing dynamics, spatial scale, and uncertainty in task-related brain network analyses. - Emily Patricia Stephen; Kyle Q. Lepage; Uri T. Eden; Peter Brunner; Gerwin Schalk; Jonathan S. Brumberg; Frank H. Guenther; Mark A. Kramer (Frontiers Comput. Neurosci., 2014)

Impact of brain tissue filtering on neurostimulation fields: A modeling study. - 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; et al. (NeuroImage, 2014)

Estimating a dynamic state to relate neural spiking activity to behavioral signals during cognitive tasks. - 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 (EMBC, 2015)

Cognitive state prediction using an EM algorithm applied to Gamma distributed data. - Ali Yousefi; Angelique C. Paulk; Thilo Deckersbach; Darin D. Dougherty; Emad N. Eskandar; Alik S. Widge; Uri T. Eden (EMBC, 2015)

Clusterless Decoding of Position from Multiunit Activity Using a Marked Point Process Filter. - Xinyi Deng; Daniel F. Liu; Kenneth Kay; Loren M. Frank; Uri T. Eden (Neural Comput., 2015)

An Approach to Time-Frequency Analysis With Ridges of the Continuous Chirplet Transform. - Mikio Aoi; Kyle Q. Lepage; Yoonseob Lim; Uri T. Eden; Timothy J. Gardner (IEEE Trans. Signal Process., 2015)

Predicting learning dynamics in Multiple-Choice Decision-Making Tasks using a variational Bayes technique. - Ali Yousefi; Reza Kakooee; Mohammad T. H. Beheshti; Darin D. Dougherty; Emad N. Eskandar; Alik S. Widge; Uri T. Eden (EMBC, 2017)

Parameter Estimation in Synaptic Coupling Model Using a Point Process Modeling Framework*. - Yalda Amidi; Behzad Nazari; Saeed Sadri; Uri T. Eden; Ali Yousefi (EMBC, 2018)

A Comparison Study of Point-Process Filter and Deep Learning Performance in Estimating Rat Position Using an Ensemble of Place Cells. - Mohammad R. Rezaei; Anna K. Gillespie; Jennifer A. Guidera; Behzad Nazari; Saeid Sadri; Loren M. Frank; Uri T. Eden; Ali Yousefi (EMBC, 2018)

A common goodness-of-fit framework for neural population models using marked point process time-rescaling. - Long Tao; Karoline E. Weber; Kensuke Arai; Uri T. Eden (J. Comput. Neurosci., 2018)

Capturing Spike Variability in Noisy Izhikevich Neurons Using Point Process Generalized Linear Models. - Jacob Østergaard; Mark A. Kramer; Uri T. Eden (Neural Comput., 2018)

Characterizing hippocampal replay using hybrid point process state space models. - Eric L. Denovellis; Loren M. Frank; Uri T. Eden (ACSSC, 2019)

Continuous Prediction of Cognitive State Using A Marked-Point Process Modeling Framework. - Yalda Amidi; Angelique C. Paulk; Darin D. Dougherty; Sydney S. Cash; Alik S. Widge; Uri T. Eden; Ali Yousefi (EMBC, 2019)

State-Space Global Coherence to Estimate the Spatio-Temporal Dynamics of the Coordinated Brain Activity. - Ali Yousefi; Reza Saadati Fard; Uri T. Eden; Emery N. Brown (EMBC, 2019)

Decoding Hidden Cognitive States From Behavior and Physiology Using a Bayesian Approach. - Ali Yousefi; Ishita Basu; Angelique C. Paulk; Noam Peled; Emad N. Eskandar; Darin D. Dougherty; Sydney S. Cash; Alik S. Widge; Uri T. Eden (Neural Comput., 2019)

Efficient Decoding of Multi-Dimensional Signals From Population Spiking Activity Using a Gaussian Mixture Particle Filter. - Ali Yousefi; Anna K. Gillespie; Jennifer A. Guidera; Mattias P. Karlsson; Loren M. Frank; Uri T. Eden (IEEE Trans. Biomed. Eng., 2019)

Estimating Fluctuations in Neural Representations of Uncertain Environments. - Sahand Farhoodi; Mark Plitt; Lisa M. Giocomo; Uri T. Eden (NeurIPS, 2020)

Assessing Goodness-of-Fit in Marked Point Process Models of Neural Population Coding via Time and Rate Rescaling. - Ali Yousefi; Yalda Amidi; Behzad Nazari; Uri T. Eden (Neural Comput., 2020)

A Quantitative Representation of Continuous Brain State During Sleep. - Hyeon Jin Kim; Shuqiang Chen; Uri T. Eden; Michael J. Prerau (NER, 2021)

Switching Functional Network Models of Oscillatory Brain Dynamics. - Wan-Chi Hsin; Uri T. Eden; Emily Patricia Stephen (IEEECONF, 2022)

Integrating Statistical and Machine Learning Approaches for Neural Classification. - Mehrad Sarmashghi; Shantanu P. Jadhav; Uri T. Eden (IEEE Access, 2022)

Integrating Statistical and Machine Learning Approaches to Identify Receptive Field Structure in Neural Populations. - Mehrad Sarmashghi; Shantanu P. Jadhav; Uri T. Eden (CoRR, 2022)

Direct Discriminative Decoder Models for Analysis of High-Dimensional Dynamical Neural Data. - Mohammad R. Rezaei; Alex E. Hadjinicolaou; Sydney S. Cash; Uri T. Eden; Ali Yousefi (Neural Comput., 2022)

A Bayesian Gaussian Process-Based Latent Discriminative Generative Decoder (LDGD) Model for High-Dimensional Data. - Navid Ziaei; Behzad Nazari; Uri T. Eden; Alik S. Widge; Ali Yousefi (IEEE Access, 2024)

Integrating Big Data, Artificial Intelligence, and motion analysis for emerging precision medicine applications in Parkinson's Disease. - Laura Dipietro; Uri T. Eden; Seth Elkin-Frankston; Mirret M. El-Hagrassy; Deniz Doruk Camsari; Ciro Ramos-Estebanez; Felipe Fregni; Timothy Wagner (J. Big Data, 2024)

A multimodal machine learning approach to predict Fugl-Meyer scores and motor recovery potential in stroke rehabilitation: Toward precision-based therapies. - Laura Dipietro; Uri T. Eden; Paulo Teixeira; Napas Tirasawasdichai; Jirapuk Warinpramote; Svetlana Pundik; Amy Gilmartin; Ciro Ramos-Estebanez; Tim A. Wagner (Inf. Sci., 2025)