Wilson Truccolo

Summary

Affiliation: Brown University
Country: USA

Publications

  1. ncbi request reprint A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects
    Wilson Truccolo
    Neuroscience Department, Brown University, Providence, RI, USA
    J Neurophysiol 93:1074-89. 2005
  2. ncbi request reprint Nonparametric modeling of neural point processes via stochastic gradient boosting regression
    Wilson Truccolo
    Neural Comput 19:672-705. 2007
  3. ncbi request reprint Primary motor cortex tuning to intended movement kinematics in humans with tetraplegia
    Wilson Truccolo
    Department of Neuroscience, Brown University, Providence, Rhode Island 02912, USA
    J Neurosci 28:1163-78. 2008
  4. pmc Neuronal Ensemble Synchrony during Human Focal Seizures
    Wilson Truccolo
    Department of Neuroscience, Institute for Brain Science and Center for Neurorestoration and Neurotechnology, Department of Veterans Affairs, Providence, Rhode Island 02912
    J Neurosci 34:9927-44. 2014
  5. pmc Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes
    Wilson Truccolo
    Department of Neuroscience, Brown University, Providence, Rhode Island, USA
    Nat Neurosci 13:105-11. 2010
  6. pmc Single-neuron dynamics in human focal epilepsy
    Wilson Truccolo
    Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
    Nat Neurosci 14:635-41. 2011
  7. pmc Human seizures self-terminate across spatial scales via a critical transition
    Mark A Kramer
    Department of Mathematics and Statistics, Boston University, Boston, MA 02215, USA
    Proc Natl Acad Sci U S A 109:21116-21. 2012
  8. pmc Decoding 3D reach and grasp from hybrid signals in motor and premotor cortices: spikes, multiunit activity, and local field potentials
    Arjun K Bansal
    Department of Neuroscience, Brown University, Providence, RI, USA
    J Neurophysiol 107:1337-55. 2012
  9. pmc Relationships among low-frequency local field potentials, spiking activity, and three-dimensional reach and grasp kinematics in primary motor and ventral premotor cortices
    Arjun K Bansal
    Department of Neuroscience, Brown University, Providence, Rhode Island, USA
    J Neurophysiol 105:1603-19. 2011
  10. pmc Efficient decoding with steady-state Kalman filter in neural interface systems
    Wasim Q Malik
    Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
    IEEE Trans Neural Syst Rehabil Eng 19:25-34. 2011

Detail Information

Publications16

  1. ncbi request reprint A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects
    Wilson Truccolo
    Neuroscience Department, Brown University, Providence, RI, USA
    J Neurophysiol 93:1074-89. 2005
    ..The framework thus allows for the formulation and analysis of point process models of neural spiking activity that readily capture the simultaneous effects of multiple covariates and enables the assessment of their relative importance...
  2. ncbi request reprint Nonparametric modeling of neural point processes via stochastic gradient boosting regression
    Wilson Truccolo
    Neural Comput 19:672-705. 2007
    ..g., more than four covariates). In the cases where a functional form might be amenable to a more compact representation, gradient boosting might also lead to the discovery of simpler, parametric models...
  3. ncbi request reprint Primary motor cortex tuning to intended movement kinematics in humans with tetraplegia
    Wilson Truccolo
    Department of Neuroscience, Brown University, Providence, Rhode Island 02912, USA
    J Neurosci 28:1163-78. 2008
    ....
  4. pmc Neuronal Ensemble Synchrony during Human Focal Seizures
    Wilson Truccolo
    Department of Neuroscience, Institute for Brain Science and Center for Neurorestoration and Neurotechnology, Department of Veterans Affairs, Providence, Rhode Island 02912
    J Neurosci 34:9927-44. 2014
    ..Furthermore, these fine synchrony events result mostly from transient increases in overall neuronal network spiking rates, rather than changes in precise spiking correlations between specific pairs of neurons. ..
  5. pmc Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes
    Wilson Truccolo
    Department of Neuroscience, Brown University, Providence, Rhode Island, USA
    Nat Neurosci 13:105-11. 2010
    ..These strong collective dynamics may provide a basis for understanding cognition and adaptive behavior at the level of coordinated spiking in cortical networks...
  6. pmc Single-neuron dynamics in human focal epilepsy
    Wilson Truccolo
    Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
    Nat Neurosci 14:635-41. 2011
    ..These findings suggest a revision of current thinking about seizure mechanisms and point to the possibility of seizure prevention based on spiking activity in neocortical neurons...
  7. pmc Human seizures self-terminate across spatial scales via a critical transition
    Mark A Kramer
    Department of Mathematics and Statistics, Boston University, Boston, MA 02215, USA
    Proc Natl Acad Sci U S A 109:21116-21. 2012
    ..This description constrains the specific biophysical mechanisms underlying seizure termination, suggests a dynamical understanding of status epilepticus, and demonstrates an accessible system for studying critical transitions in nature...
  8. pmc Decoding 3D reach and grasp from hybrid signals in motor and premotor cortices: spikes, multiunit activity, and local field potentials
    Arjun K Bansal
    Department of Neuroscience, Brown University, Providence, RI, USA
    J Neurophysiol 107:1337-55. 2012
    ..For BCIs, our results indicate that neuronal ensemble spiking is the preferred signal for decoding, while LFPs and combined signals from PMv and MI can add robustness to BCI control...
  9. pmc Relationships among low-frequency local field potentials, spiking activity, and three-dimensional reach and grasp kinematics in primary motor and ventral premotor cortices
    Arjun K Bansal
    Department of Neuroscience, Brown University, Providence, Rhode Island, USA
    J Neurophysiol 105:1603-19. 2011
    ....
  10. pmc Efficient decoding with steady-state Kalman filter in neural interface systems
    Wasim Q Malik
    Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
    IEEE Trans Neural Syst Rehabil Eng 19:25-34. 2011
    ..This far more efficient neural decoding approach will facilitate the practical implementation of future large-dimensional, multisignal neural interface systems...
  11. pmc Heterogeneous neuronal firing patterns during interictal epileptiform discharges in the human cortex
    Corey J Keller
    Department of Neurology, 30 Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA
    Brain 133:1668-81. 2010
    ....
  12. pmc Decoding 3-D reach and grasp kinematics from high-frequency local field potentials in primate primary motor cortex
    Jun Zhuang
    Department of Neuroscience, Brown University, Providence, RI 02912, USA
    IEEE Trans Biomed Eng 57:1774-84. 2010
    ..These results indicate that LFPs, especially high frequency bands, could be useful signals for neural interfaces controlling 3-D reach and grasp kinematics...
  13. ncbi request reprint Advances in the application of technology to epilepsy: the CIMIT/NIO Epilepsy Innovation Summit
    Steven C Schachter
    Center for Integration of Medicine and Innovative Technology, Boston, MA, USA
    Epilepsy Behav 16:3-46. 2009
    ..This article summarizes the discussions and demonstrates that cross-disciplinary interactions can catalyze collaborations between physicians and engineers to address and solve many of the pressing unmet needs in epilepsy...
  14. ncbi request reprint Estimation of single-trial multicomponent ERPs: differentially variable component analysis (dVCA)
    Wilson Truccolo
    Department of Neuroscience, Brown University, 190 Thayer Street, Providence, RI 02912, USA
    Biol Cybern 89:426-38. 2003
    ....
  15. ncbi request reprint Motor "binding:" do functional assemblies in primary motor cortex have a role?
    Jerome N Sanes
    Department of Neuroscience, Brown Medical School, Providence, Rhode Island 02912, USA
    Neuron 38:3-5. 2003
    ..These results could form the foundation for subsequent investigations of motor binding...
  16. ncbi request reprint Is partial coherence a viable technique for identifying generators of neural oscillations?
    Zimbul Albo
    Biol Cybern 90:318-26. 2004
    ..This hypothesis is tested both theoretically and on experimental time series acquired from limbic brain structures during the theta rhythm...