Dynamical Analysis of an Oscillatory Cortical Neural Network. - Wilson A. Truccolo; Mingzhou Ding; Steven L. Bressler (IJCNN (6), 2000)

Stability constraints for oscillatory neural networks. - Wilson A. Truccolo; Mingzhou Ding; Steven L. Bressler (Neurocomputing, 2000)

Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance. - Maciej Kaminski; Mingzhou Ding; Wilson A. Truccolo; Steven L. Bressler (Biol. Cybern., 2001)

Dynamic temporal decorrelation: An information-theoretic and biophysical model of the functional role of the lateral geniculate nucleus. - Wilson A. Truccolo; Dawei W. Dong (Neurocomputing, 2001)

Variability and interdependence of local field potentials: Effects of gain modulation and nonstationarity. - Wilson A. Truccolo; Mingzhou Ding; Steven L. Bressler (Neurocomputing, 2001)

Estimation of single-trial multicomponent ERPs: Differentially variable component analysis (dVCA). - Wilson A. Truccolo; Kevin H. Knuth; Ankoor Shah; Steven L. Bressler; Charles E. Schroeder; Mingzhou Ding (Biol. Cybern., 2003)

Analyzing stability of equilibrium points in neural networks: a general approach. - Wilson A. Truccolo; Govindan Rangarajan; Yonghong Chen; Mingzhou Ding (Neural Networks, 2003)

Is partial coherence a viable technique for identifying generators of neural oscillations? - Zimbul Albo; Gonzalo Viana Di Prisco; Yonghong Chen; Govindan Rangarajan; Wilson A. Truccolo; Jianfeng Feng; Robert P. Vertes; Mingzhou Ding (Biol. Cybern., 2004)

Nonparametric Modeling of Neural Point Processes via Stochastic Gradient Boosting Regression. - Wilson Truccolo; John P. Donoghue (Neural Comput., 2007)

Decoding 3-D Reach and Grasp Kinematics From High-Frequency Local Field Potentials in Primate Primary Motor Cortex. - Jun Zhuang; Wilson Truccolo; Carlos Vargas-Irwin; John P. Donoghue (IEEE Trans. Biomed. Eng., 2010)

Latent state-space models for neural decoding. - Mehdi Aghagolzadeh; Wilson Truccolo (EMBC, 2014)

Early detection of human focal seizures based on cortical multiunit activity. - Yun S. Park; Leigh R. Hochberg; Emad N. Eskandar; Sydney S. Cash; Wilson Truccolo (EMBC, 2014)

Population Encoding/Decoding. - Wilson Truccolo (Encyclopedia of Computational Neuroscience, 2014)

Spatiotemporal Conditional Inference and Hypothesis Tests for Neural Ensemble Spiking Precision. - Matthew T. Harrison; Asohan Amarasingham; Wilson Truccolo (Neural Comput., 2015)

Local field potentials in primate motor cortex encode grasp kinetic parameters. - Tomislav Milekovic; Wilson Truccolo; Sonja Grün; Alexa Riehle; Thomas Brochier (NeuroImage, 2015)

Microscale spatiotemporal dynamics during neocortical propagation of human focal seizures. - Fabien B. Wagner; Emad N. Eskandar; G. Rees Cosgrove; Joseph R. Madsen; Andrew S. Blum; N. Stevenson Potter; Leigh R. Hochberg; Sydney S. Cash; Wilson Truccolo (NeuroImage, 2015)

Predicting seizures from local field potentials recorded via intracortical microelectrode arrays. - Mehdi Aghagolzadeh; Leigh R. Hochberg; Sydney S. Cash; Wilson Truccolo (EMBC, 2016)

A modular, closed-loop platform for intracranial stimulation in people with neurological disorders. - Anish A. Sarma; Britni Crocker; Sydney S. Cash; Wilson Truccolo (EMBC, 2016)

Interaction between synaptic inhibition and glial-potassium dynamics leads to diverse seizure transition modes in biophysical models of human focal seizures. - E. C. Y. Ho; Wilson Truccolo (J. Comput. Neurosci., 2016)

On the stability and dynamics of stochastic spiking neuron models: Nonlinear Hawkes process and point process GLMs. - Felipe Gerhard; Moritz Deger; Wilson Truccolo (PLoS Comput. Biol., 2017)

Optogenetic Stimulation Shifts the Excitability of Cerebral Cortex from Type I to Type II: Oscillation Onset and Wave Propagation. - Stewart Heitmann; Michael Rule; Wilson Truccolo; Bard Ermentrout (PLoS Comput. Biol., 2017)

FPGA implementation of deep-learning recurrent neural networks with sub-millisecond real-time latency for BCI-decoding of large-scale neural sensors (104 nodes). - Christopher Heelan; Arto V. Nurmikko; Wilson Truccolo (EMBC, 2018)

Decoding hindlimb kinematics from primate motor cortex using long short-term memory recurrent neural networks. - Yinong Wang; Wilson Truccolo; David A. Borton (EMBC, 2018)

Uncovering low-dimensional structure in high-dimensional representations of long-term recordings in people with epilepsy. - Joaquin Rapela; Timothée Proix; Dmitrii Todorov; Wilson Truccolo (EMBC, 2019)

Ongoing intracortical neural activity predicts upcoming interictal epileptiform discharges in human epilepsy. - Dipta Saha; Timothée Proix; Sydney S. Cash; Wilson Truccolo (EMBC, 2019)

Stochastic point process models for multi-compartment dendritic-tree input-output transformations in spiking neurons. - Dipta Saha; Wilson Truccolo (EMBC, 2019)

Stability of stochastic finite-size spiking-neuron networks: Comparing mean-field, 1-loop correction and quasi-renewal approximations. - Dmitrii Todorov; Wilson Truccolo (EMBC, 2019)

Ictal autonomic activity recorded via wearable-sensors plus machine learning can discriminate epileptic and psychogenic nonepileptic seizures. - Andras Zsom; W. Curt LaFrance; Andrew S. Blum; Paula Li; Wahed La; M. A. Shaikh; Gaurav Sharma; Rebecca Ranieri; Lynn Zhang; Shawn Tsekhan; Tariq Hamid; Jay Levin; et al. (EMBC, 2019)

Effect of Closed-Loop Direct Electrical Stimulation during Sleep Spindles in Humans. - Constantin Krempp; Angelique C. Paulk; Wilson Truccolo; Sydney S. Cash; Rina Zelmann (EMBC, 2020)

CLoSES: A platform for closed-loop intracranial stimulation in humans. - Rina Zelmann; Angelique C. Paulk; Ishita Basu; Anish A. Sarma; Ali Yousefi; Britni Crocker; Emad N. Eskandar; Ziv Williams; G. Rees Cosgrove; Daniel S. Weisholtz; Darin D. Dougherty; Wilson Truccolo; et al. (NeuroImage, 2020)

Early Detection of Human Epileptic Seizures Based on Intracortical Microelectrode Array Signals. - Yun S. Park; G. Rees Cosgrove; Joseph R. Madsen; Emad N. Eskandar; Leigh R. Hochberg; Sydney S. Cash; Wilson Truccolo (IEEE Trans. Biomed. Eng., 2020)

Linear Feedback Control of Spreading Dynamics in Stochastic Nonlinear Network Models: Epileptic Seizures. - S. Amin Moosavi; Wilson A. Truccolo (NER, 2023)

Criticality in probabilistic models of spreading dynamics in brain networks: Epileptic seizures. - S. Amin Moosavi; Wilson Truccolo (PLoS Comput. Biol., 2023)