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ORCIDWilson A. Truccolo
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2020 – today
- 2023
[j18]S. Amin Moosavi, Wilson Truccolo
:
Criticality in probabilistic models of spreading dynamics in brain networks: Epileptic seizures. PLoS Comput. Biol. 19(2) (2023)- [c14]S. Amin Moosavi, Wilson A. Truccolo:
Linear Feedback Control of Spreading Dynamics in Stochastic Nonlinear Network Models: Epileptic Seizures. NER 2023: 1-6 - 2020
- [j17]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, Alik S. Widge, Sydney S. Cash:
CLoSES: A platform for closed-loop intracranial stimulation in humans. NeuroImage 223: 117314 (2020) - [j16]Yun S. Park, G. Rees Cosgrove, Joseph R. Madsen, Emad N. Eskandar, Leigh R. Hochberg, Sydney S. Cash, Wilson Truccolo:
Early Detection of Human Epileptic Seizures Based on Intracortical Microelectrode Array Signals. IEEE Trans. Biomed. Eng. 67(3): 817-831 (2020) - [c13]Constantin Krempp, Angelique C. Paulk, Wilson Truccolo, Sydney S. Cash, Rina Zelmann:
Effect of Closed-Loop Direct Electrical Stimulation during Sleep Spindles in Humans. EMBC 2020: 3586-3589
2010 – 2019
- 2019
- [c12]Joaquin Rapela, Timothée Proix, Dmitrii Todorov, Wilson Truccolo:
Uncovering low-dimensional structure in high-dimensional representations of long-term recordings in people with epilepsy. EMBC 2019: 2246-2251 - [c11]Dipta Saha, Timothée Proix, Sydney S. Cash, Wilson Truccolo:
Ongoing intracortical neural activity predicts upcoming interictal epileptiform discharges in human epilepsy. EMBC 2019: 2386-2391 - [c10]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, Wilson Truccolo:
Ictal autonomic activity recorded via wearable-sensors plus machine learning can discriminate epileptic and psychogenic nonepileptic seizures. EMBC 2019: 3502-3506 - [c9]Dmitrii Todorov, Wilson Truccolo:
Stability of stochastic finite-size spiking-neuron networks: Comparing mean-field, 1-loop correction and quasi-renewal approximations. EMBC 2019: 4380-4386 - [c8]Dipta Saha, Wilson Truccolo:
Stochastic point process models for multi-compartment dendritic-tree input-output transformations in spiking neurons. EMBC 2019: 4395-4399 - 2018
- [c7]Christopher Heelan, Arto V. Nurmikko, Wilson Truccolo:
FPGA implementation of deep-learning recurrent neural networks with sub-millisecond real-time latency for BCI-decoding of large-scale neural sensors (104 nodes). EMBC 2018: 1070-1073 - [c6]Yinong Wang, Wilson Truccolo, David A. Borton:
Decoding hindlimb kinematics from primate motor cortex using long short-term memory recurrent neural networks. EMBC 2018: 1944-1947 - 2017
- [j15]Stewart Heitmann, Michael Rule, Wilson Truccolo, Bard Ermentrout:
Optogenetic Stimulation Shifts the Excitability of Cerebral Cortex from Type I to Type II: Oscillation Onset and Wave Propagation. PLoS Comput. Biol. 13(1) (2017) - [j14]Felipe Gerhard, Moritz Deger, Wilson Truccolo:
On the stability and dynamics of stochastic spiking neuron models: Nonlinear Hawkes process and point process GLMs. PLoS Comput. Biol. 13(2) (2017) - 2016
- [j13]E. C. Y. Ho, Wilson Truccolo:
Interaction between synaptic inhibition and glial-potassium dynamics leads to diverse seizure transition modes in biophysical models of human focal seizures. J. Comput. Neurosci. 41(2): 225-244 (2016) - [c5]Anish A. Sarma, Britni Crocker, Sydney S. Cash, Wilson Truccolo:
A modular, closed-loop platform for intracranial stimulation in people with neurological disorders. EMBC 2016: 3139-3142 - [c4]Mehdi Aghagolzadeh, Leigh R. Hochberg, Sydney S. Cash, Wilson Truccolo:
Predicting seizures from local field potentials recorded via intracortical microelectrode arrays. EMBC 2016: 6353-6356 - 2015
- [j12]Matthew T. Harrison, Asohan Amarasingham, Wilson Truccolo:
Spatiotemporal Conditional Inference and Hypothesis Tests for Neural Ensemble Spiking Precision. Neural Comput. 27(1): 104-150 (2015) - [j11]Tomislav Milekovic, Wilson Truccolo, Sonja Grün, Alexa Riehle, Thomas Brochier:
Local field potentials in primate motor cortex encode grasp kinetic parameters. NeuroImage 114: 338-355 (2015) - [j10]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:
Microscale spatiotemporal dynamics during neocortical propagation of human focal seizures. NeuroImage 122: 114-130 (2015) - 2014
- [c3]Mehdi Aghagolzadeh, Wilson Truccolo:
Latent state-space models for neural decoding. EMBC 2014: 3033-3036 - [c2]Yun S. Park, Leigh R. Hochberg, Emad N. Eskandar, Sydney S. Cash, Wilson Truccolo:
Early detection of human focal seizures based on cortical multiunit activity. EMBC 2014: 5796-5799 - [r1]Wilson Truccolo:
Population Encoding/Decoding. Encyclopedia of Computational Neuroscience 2014 - 2010
- [j9]Jun Zhuang, Wilson Truccolo, Carlos Vargas-Irwin, John P. Donoghue:
Decoding 3-D Reach and Grasp Kinematics From High-Frequency Local Field Potentials in Primate Primary Motor Cortex. IEEE Trans. Biomed. Eng. 57(7): 1774-1784 (2010)
2000 – 2009
- 2007
- [j8]Wilson Truccolo, John P. Donoghue:
Nonparametric Modeling of Neural Point Processes via Stochastic Gradient Boosting Regression. Neural Comput. 19(3): 672-705 (2007) - 2004
- [j7]Zimbul Albo, Gonzalo Viana Di Prisco, Yonghong Chen, Govindan Rangarajan, Wilson A. Truccolo, Jianfeng Feng, Robert P. Vertes, Mingzhou Ding:
Is partial coherence a viable technique for identifying generators of neural oscillations? Biol. Cybern. 90(5): 318-326 (2004) - 2003
- [j6]Wilson A. Truccolo, Kevin H. Knuth, Ankoor Shah, Steven L. Bressler, Charles E. Schroeder, Mingzhou Ding:
Estimation of single-trial multicomponent ERPs: Differentially variable component analysis (dVCA). Biol. Cybern. 89(6): 426-438 (2003) - [j5]Wilson A. Truccolo, Govindan Rangarajan, Yonghong Chen, Mingzhou Ding:
Analyzing stability of equilibrium points in neural networks: a general approach. Neural Networks 16(10): 1453-1460 (2003) - 2001
- [j4]Maciej Kaminski, Mingzhou Ding, Wilson A. Truccolo, Steven L. Bressler:
Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance. Biol. Cybern. 85(2): 145-157 (2001) - [j3]Wilson A. Truccolo, Mingzhou Ding, Steven L. Bressler:
Variability and interdependence of local field potentials: Effects of gain modulation and nonstationarity. Neurocomputing 38-40: 983-992 (2001) - [j2]Wilson A. Truccolo, Dawei W. Dong:
Dynamic temporal decorrelation: An information-theoretic and biophysical model of the functional role of the lateral geniculate nucleus. Neurocomputing 38-40: 993-1001 (2001) - 2000
- [j1]Wilson A. Truccolo, Mingzhou Ding, Steven L. Bressler:
Stability constraints for oscillatory neural networks. Neurocomputing 32-33: 585-589 (2000) - [c1]Wilson A. Truccolo, Mingzhou Ding, Steven L. Bressler:
Dynamical Analysis of an Oscillatory Cortical Neural Network. IJCNN (6) 2000: 434-442
Coauthor Index
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