Wilson's Home Page: Research

Wilson's Home Page: Research

National Institutes of Health, NINDS, R01 (PI)
U.S. Department of Veterans Affairs, Merit Review Award (PI)
Defense Advanced Research Projects Agency (DARPA): Neural Engineering System Design (NESD) (Co-PI)
Brain Initiative - National Institutes of Health, NINDS, U01 (Co-investigator)
National Institutes of Health, NINDS, R01 (Co-investigator)
Defense Advanced Research Projects Agency (DARPA): Reorganization and Plasticity to Accel. Injury Recov. (REPAIR) (Co-PI)
National Institutes of Health, NINDS, K01 Career Award (PI)
National Science Foundation (Preceptor)
Swiss National Science Foundation (Preceptor)
Epilepsy Foundation (Preceptor)
Brown University & the Pablo J. Salame '88 Goldman Sachs endowed Professorship of Computational Neuroscience

Full publication list and article links: Wilson's Home Page\Publications

In reverse chronological order:

79. Mohammadi N, Truccolo* W, Cash SS, Giraud AL, Proix* T (2024) From spiking neuronal networks to interpretable dynamics: a diffusion-approximation framework. bioRxiv, 2024.12. 17.628339 *Senior authors

78. Orepic P, Truccolo W, Halgren E, Cash SS, Giraud AL, Proix T (2024) Neural manifolds carry reactivation of phonetic representations during semantic processing. BioRxiv doi: https://doi.org/10.1101/2023.10.30.564638

77. Moosavi SA, Truccolo W (2023) Criticality in probabilistic models of spreading dynamics in brain networks: epileptic seizures. PLoS Computational Biology 19(2): e1010852. https://doi.org/10.1371/ journal.pcbi.1010852

76. Moosavi SA, Truccolo W (2023) Linear feedback control of spreading dynamics in stochastic nonlinear network models: epileptic seizures. Proceedings IEEE EMBS Neural Engineering (accepted)

75. Xing D, Truccolo W, Borton DA. (2022) Emergence of distinct neural subspaces in motor cortical dynamics during volitional adjustments of ongoing locomotion. J Neuroscience 42(49): 9142-9157. Highlighted in the journal’s Featured Research.

74. Moosavi SA, Jirsa VK, Truccolo W (2022) Critical dynamics in the spread of focal epileptic seizures: network connectivity, neural excitability and phase transitions. PLoS One 17 (8), e0272902.

73. Cu H, Lynch L, Huang K, Truccolo W, Nurmikko A (2022) Grasp-squeeze adaptation to changes in object compliance leads to dynamic beta-band communication between primary somatosensory and motor cortices. Scientific Reports 12: 6776.

72. Truccolo W (2022) Population encoding/decoding. In Encyclopedia of Computational Neuroscience (Eds. Jaeger D and Jung R). Second Edition. Springer, New York.

71. Proix T, Truccolo W, Leguia MG, Tcheng TK, King-Stephens D, Rao VR, Baud MO (2021) Forecasting seizure risk in adults with focal epilepsy: a development and validation study. The Lancet Neurology 20(2): 127 – 135.

70. Park YS, Cosgrove GR, Madsen JR, Eskandar EN, Hochberg LR, Cash SS, Truccolo W (2020) Early detection of human epileptic seizures based on intracortical microelectrode array signals. IEEE Trans Biom Eng 67(3): 817 – 831. 

69. Zelmann R, Paulk AC, Basu I, Sarma A, Yousefi A, Crocker BA, Eskandar E, Williams Z, Cosgrove GR, Weisholtz DS, Dougherty DD, Truccolo W, Widge AS, Cash SS (2020) CLoSES: A platform for closed-loop intracranial stimulation in humans. NeuroImage 223: 117314. 

68. Krempp C, Paulk AC, Truccolo W, Cash SS, Zelmann R (2020) Effect of Closed-Loop Direct Electrical Stimulation during Sleep Spindles in Humans. Proceedings IEEE Eng Med Biol Soc (EMBC): 3586 – 3589. 

67. Proix T, Aghagolzadeh M, Hochberg LR, Cash SS, Truccolo W (2019) Intracortical neural activity distal to seizure onset areas predicts human focal seizures. PLoS One. 

66. Heelan C, Lee J, O’Shea R, Brandman DM, Truccolo W, Nurmikko AV (2019) Decoding speech from spike-based neural population recordings in secondary auditory cortex of non-human primates. Communications Biol 2:466. www.nature.com/commsbio: https://doi.org/10.1038/s42003-019-0707-9

65. Xing D, Aghagolzadeh M, Truccolo W, Borton DA (2019) Low-dimensional motor cortex dynamics preserve kinematics information during unconstrained locomotion in nonhuman primates. Frontiers in Neuroscience 13: 1 – 10. 

64. Todorov D, Truccolo W (2019) Stability of stochastic finite-size spiking-neuron networks: Comparing mean-field, 1-loop correction and quasi-renewal approximations. Proceedings IEEE Eng Med Biol Soc. (EMBC): 4380 – 4386. Errata: https://arxiv.org/abs/1912.05543

63. Saha D, Truccolo W (2019) Stochastic point process models for multi-compartment dendritic-tree input-output transformations in spiking neurons. Proceedings IEEE Eng Med Biol Soc. (EMBC): 4395 – 4399. 

62. Saha D, Proix T, Truccolo W (2019) Ongoing intracortical neural activity predicts upcoming interictal epileptiform discharges in human epilepsy. Proceedings IEEE Eng Med Biol Soc. (EMBC): 2386 – 2391. 

61. Rapela J, Proix T, Todorov D, Truccolo W (2019) Uncovering low-dimensional structure in high-dimensional representations of long-term recordings in people with epilepsy. Proceedings IEEE Eng Med Biol Soc. (EMBC): 2246 – 2251. 

60. Zsom A, LaFrance Jr WC, Blum AS, Li P, Wahed LA, Shaikh MA, Sharma G, Ranieri R, Zhang L, Tsekhan S, Hamid T, Levin J, Truccolo W (2019) Ictal autonomic activity recorded via wearable-sensors plus machine learning can discriminate epileptic and psychogenic nonepileptic seizures. Proceedings IEEE Eng Med Biol Soc. (EMBC): 3502 – 3506. 

59. Proix T, Jirsa VK, Bartolomei F, Guye M, Truccolo* W (2018) Predicting the spatiotemporal diversity of seizure propagation and termination in human focal epilepsy. Nature Communications 9:1088, doi: 10.1038/s41467-018-02973-y. *Senior/corresponding author.

58. Pesaran B, Einevoll GT, Fries P, Schroeder CE, Siegel M, Srinivasan R, Truccolo W, Vinck M (2018) Investigating large-scale brain dynamics using field potential recordings: Analysis and interpretation. Nature Neuroscience, 21: 903 – 919. (Invited primer)

57. Rule M, Vargas-Irwin C, Donoghue JP, Truccolo W (2018) Phase reorganization transients in motor cortex lead to diverse β-LFP spatiotemporal wave patterns during steady movement preparation. J Neurophys, 119: 2212 – 2228.

56. Heelan C, Nurmikko AV, Truccolo W (2018) FPGA implementation of deep-learning recurrent neural networks with sub-millisecond real-time latency for BCI-decoding of large-scale neural sensors (104 nodes), Proceedings IEEE Eng Med Biol Soc. 2018: 1070 – 1073.

55. Wang Y, Truccolo W, Borton DA (2018) Decoding hindlimb kinematics from primate motor cortex using long short-term memory recurrent neural networks. Proceedings IEEE Eng Med Biol Soc. 2018: 1944 – 1947. 

54. Gerhard F, Deger M, Truccolo W (2017) On the stability and dynamics of stochastic spiking neuron models: nonlinear Hawkes process and point process GLMs. PLoS Comput Biol 13(2): e1005390. doi:10.1371/journal.pcbi.1005390.

53. Martinet LE, Fiddyment G, Madsen J, Eskandar E, Truccolo W, Eden U, Cash SS, Kramer MA (2017) Human seizures couple across spatial scales through traveling wave dynamics. Nature Comm, 8:14896, 1- 13, DOI: 10.1038/ncomms14896.

52. Rule ME, Vargas-Irwin C, Donoghue JP, Truccolo W (2017) Dissociation between sustained single-neuron spiking and transient β-LFP oscillations in primate motor cortex. J Neurophysiol, 117(4):1524-1543. doi: 10.1152/jn.00651.2016.

51. Heitmann S, Rule ME, Truccolo W, Ermentrout B (2017) Optogenetic stimulation shifts the excitability of cerebral cortex from Type I to Type II: oscillation onset and wave propagation. PLoS Computational Biology, 13(1): e1005349. doi:10.1371/journal.pcbi.1005349

50. Truccolo W (2016) From point process observations to collective neural dynamics: nonlinear Hawkes PP-GLMs, low-dimensional dynamics and coarse graining. J Physiology (Paris), 110(4), Part A, 336 – 347.

49. Ho ECY, Truccolo W (2016) Interaction between synaptic inhibition and glial-potassium dynamics leads to diverse seizure transition modes in biophysical models of human focal seizures. J Computational Neuroscience, 41(2): 225 – 244.

48. ​Sarma AA, Crocker B, Cash SS, Truccolo W (2016) A modular, closed-loop platform for intracranial stimulation in people with neurological disorders. Proceeding Int IEEE EMBS Conf Neural Engineering, 3139-3142. doi: 10.1109/EMBC.2016.7591394.

47. ​Aghagolzadeh M, Hochberg LR, Cash SS, Truccolo W (2016) Predicting seizures from local field potentials recorded via intracortical microelectrode arrays. Proceeding Int IEEE EMBS Conf Neural Engineering, 6353 – 6356.  doi: 10.1109/EMBC.2016.7592181.

46. Aghagolzadeh M, Truccolo W (2016) Inference and decoding of motor cortex low-dimensional dynamics with latent state-space models. IEEE Transactions Neural Systems Rehabilitation Engineering, 24(2): 272 – 282.

45. Wagner F, Eskandar EN, Cosgrove GR, Madsen JR, Blum AS, Potter NS, Hochberg LR, Cash SS, Truccolo W (2015) Microscale spatiotemporal dynamics during neocortical propagation of human focal seizures. NeuroImage, 122, 114 – 130.

44. Harrison MT, Amarasingham A, Truccolo W (2015) Spatio-temporal conditional inference and hypothesis tests for neural ensemble spiking precision. Neural Computation, 27(1): 104 – 150.

43. Rule ME, Vargas-Irwin CE, Donoghue JP, Truccolo W (2015) Contribution of LFP dynamics to single-neuron spiking variability in motor cortex during movement execution. Frontiers in Systems Neuroscience, 9(89): 10.3389/fnsys.2015.00089.

42. Milekovic T, Truccolo W, Grün S, Riehle A, Brochier T (2015) Local field potentials in primate motor cortex encode grasp kinetic parameters. NeuroImage 114: 338 – 335.

41. Wagner FB, Truccolo W, Wang J, Nurmikko AN (2015) Spatiotemporal dynamics of optogenetically-induced and spontaneous seizure transitions in primary generalized epilepsy. J Neurophysiology 113(7): 2321 – 2341.

40. Lu Y, Truccolo W, Wagner FBP, Vargas-Irwin CE, Ozden I, Zimmermann JB, May T, Agha N, Wang J, Nurmikko AV (2015) Optogenetically-induced spatiotemporal gamma oscillations and neuronal spiking activity in primate motor cortex. J Neurophys 113(10): 3574 – 3587.

39. Truccolo W (2015) Population Encoding/Decoding. In Encyclopedia of Computational Neuroscience (Eds. Jaeger D and Jung R). Springer, New York.

38. Truccolo* W, Ahmed OJ, Harrison MT, Eskandar EN, Cosgrove GR, Madsen JR, Blum AS, Potter NS, Hochberg LR, Cash* SS (2014) Neuronal ensemble synchrony during human focal seizures. J Neuroscience 34(30): 9927 – 9944.
* Senior authors

37. Menzer D, Rao NG, Bondy A, Truccolo W, Donoghue JP (2014) Population interactions between parietal and primary motor cortices during reach. J Neurophysiology: 112(11): 2959 – 2984.

36. Aghagolzadeh M, Truccolo W (2014) Latent state-space models for neural decoding. Proceedings Int IEEE EMBS Conf Neural Engineering, 3033 – 3036.

35. Park YS, Hochberg LR, Eskandar EN, Cash SS, Truccolo W (2014) Early detection of human focal seizures based on cortical multiunit activity. Proceedings Int IEEE EMBS Conf Neural Engineering, 5796 – 5799.

34. Ahmed OJ, Kramer MA, Truccolo W, Naftulin JS, Potter NS, Eskandar EN, Cosgrove GR, Blum AS, Hochberg LR, Cash SS (2014) Inhibitory single neuron control of seizures and epileptic traveling waves in humans. BMC Neuroscience. 2014 Jul 1;15(S1):F3.

33. Park YS, Hochberg LR, Eskandar EN, Cash SS, Truccolo W (2013) Early detection of human epileptic seizures based on intracortical local field potentials. Proceedings IEEE EMBS Conf Neural Eng. 2013: 323 – 326. 

32. Park YS, Hochberg LR, Eskandar EN, Cash SS, Truccolo W (2013) Adaptive parametric spectral estimation with Kalman smoothing for online early seizure detection. Proceedings Int IEEE EMBS Conf Neural Eng. 2013: 1410 – 1413. (NIHMS557043)

31. Kramer MA, Truccolo W, Eden UT, Lepage KQ, Hochberg LR, Eskandar EN, Madsen JR, Lee JW, Maheshwari A, Halgren E, Chu CJ, Cash SS (2012) Human seizures self-terminate across spatial scales via a critical transition.  Proceedings of the National Academy of Science 109(51): 21116–21121.

30. Bansal AK, Truccolo W, Vargas-Irwin CE, Donoghue JP (2012) Decoding 3-D reach and grasp from hybrid signals in motor and premotor cortices: spikes, multiunit activity and local field potentials. J Neurophysiology 107: 1337 – 1355.

29. Truccolo W, Donoghue JA, Hochberg LR, Eskandar EN, Madsen JR, Anderson WS, Brown EN, Halgren E, Cash SS. (2011) Single-neuron dynamics in human focal epilepsy. Nature Neuroscience, 14(5): 635 - 641.

28. Bansal AK, Vargas-Irwin CE, Truccolo W, Donoghue JP (2011) Relationships among low-frequency local field potentials, spiking activity, and 3-D reach and grasp kinematics in primary motor and ventral premotor cortices. J Neurophysiology 105: 1603 – 1619.
Selected for Neuro Forum: Witte, J Neurophys, 2011.

27. Malik W, Truccolo W, Brown EN, Hochberg LR (2011) Efficient decoding with steady-state kalman filter in neural interface systems. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 19(1): 25-34.

26. Truccolo W, Hochberg LR, Donoghue JP (2010) Collective dynamics in human and monkey sensorimotor cortex: Predicting single neuron spikes. Nature Neuroscience, 13(1): 105-111.

25. Zhuang J, Truccolo* W, Vargas-Irwin C, Donoghue JP (2010) Decoding 3-D reach and grasp kinematics from high-frequency local field potentials in primate primary motor cortex. IEEE Transactions on Biomedical Engineering, 57(7): 1774-1784. [*Corresponding author.]

24. Zhuang J, Truccolo W, Vargas-Irwin C, Donoghue JP (2010) Reconstructing grasping motions from high-frequency local field potentials in primary motor cortex. Proceedings IEEE-EMBS Proceedings: 4347-4350.

23. Keller CJ, Truccolo W, Gale JT, Eskandar E, Thesen T, Carlson C, Devinsky O, Kuzniecky R, Doyle W, Madsen JR, Schomer D, Mehta A, Brown EN, Hochberg LR, Ulbert I, Halgren E, Cash SS (2010) Heterogeneous neuronal firing patterns during interictal epileptiform discharges in the human cortex. Brain, 133: 1668-1681.

22. Truccolo W (2010) Stochastic models for multivariate neural point processes: Collective dynamics and neural decoding. In Analysis of parallel spike trains (Eds. Grün S and Rotter S). Springer, New York.

21. Truccolo W, Friehs GM, Donoghue JP, Hochberg LR (2008) Primary motor cortex tuning to intended movement kinematics in humans with tetraplegia. Journal of Neuroscience, 28 (5): 1163-1178.

20. Nalatore H, Truccolo W, Rangarajan G (2007) Fast robust pattern classification algorithms for real time neuro-motor prosthesis applications. Journal of the Indian Institute of Science, 87 (4): 497-509.

19. Truccolo W & Donoghue JP (2007) Non-parametric modeling of neural point processes via stochastic gradient boosting regression. Neural Computation, 19(3): 672-705.

18. Chen Y, Bressler SL, Knuth KH, Truccolo W, Ding M (2006) Stochastic modeling of neurobiological time series: Power, coherence, granger causality, and separation of evoked responses from ongoing activity. Special Edition on Stochastic Dynamics of Neural and Genetic Networks, Andre Longtin (Ed.). Chaos, 16, 026113 1-8.
This paper was also selected to appear in the Virtual Journal of Biological Physics Research, 12 (1).

17. Knuth KH, Shah A, Truccolo W, Ding M, Bressler SL, Schroeder CE (2006) Differentially variable component analysis (dVCA): Identifying multiple evoked components using trial-to-trial variability. Journal of Neurophysiology, 95, 3257-3276.

16. Truccolo W, Eden UT, Fellows MR, Donoghue JP, Brown EN (2005) A point process framework for relating neural spiking activity to spiking history, neural ensemble and extrinsic covariate effects. J. Neurophysiology, 93, 1074-1089.

15. Eden UT, Truccolo W, Fellows MR, Donoghue JP, Brown EN (2004) Reconstruction of hand movement trajectories from a dynamic ensemble of spiking motor cortical neurons. Proceedings of the 26th Annual International Conference of the IEEE EMBS, San Francisco, CA.

14. Sanes JN & Truccolo W (2003). Motor "Binding:" do Functional Assemblies in Primary Motor Cortex have a Role? Neuron, 38 (1): 3-5.

13. Albo Z, Viana di Prisco G, Chen Y, Rangarajan G, Truccolo W, Feng J, Vertes RP, Ding M (2004) Is partial coherence a viable technique for identifying generators of neural oscillations? Biological Cybernetics, 90, 318-326.

12. Truccolo W, Knuth KH, Shah A, Schroeder C, Bressler SL, Ding M (2003). Estimation of single-trial multi-component ERPs: differentially variable component analysis (dVCA). Biological Cybernetics, 89, 426-438.

11. Truccolo WA, Rangarajan G, Chen Y, Ding M (2003) Analyzing stability of equilibrium points in neural networks: A general approach. Neural Networks, 16(10), 1453-1460.

10. Truccolo WA., Ding M, Knuth KH, Nakamura R, Bressler SL (2002) Trial-to-trial variability of cortical evoked responses: Implications for the analysis of functional connectivity. Clinical Neurophysiology, 113, 206–226.

9. Truccolo WA, Knuth KH, Bressler SL, Ding M (2002) Bayesian analysis of single trial cortical event-related components. In Robert L. Fry (Ed.), Maximum Entropy and Bayesian Methods in Science and Engineering. AIP Conference Proceedings, 617, 64-73. Melville, NY: American Institute of Physics.

8. Liang H, Bressler SL, Ding M, Truccolo WA, Nakamura R (2002) Synchronized activity in prefrontal cortex during anticipation of visuomotor processing. Neuroreport, 13(16), 2011-2015.

7. Truccolo WA, Dong DW (2001) Dynamic temporal decorrelation: Information theoretic and biophysical model of the functional role of the lateral geniculate nucleus (LGN). Neurocomputing, 38-40, 993-1001.

6. Truccolo WA, Ding M, Bressler SL (2001) Variability and interdependence of local field potentials: Effects of gain modulation and nonstationarity. Neurocomputing, 38-40, 983-992.

5. Kaminski M, Ding M, Truccolo WA, Bressler SL (2001) Evaluating causal relations in neural systems: Granger causality, directed transfer function (DTF) and statistical assessment of significance. Biological Cybernetics, 85, 145-157.

4. Knuth KH, Truccolo WA, Bressler SL, Ding M (2001) Separation of multiple evoked responses using differential amplitude and latency variability. In Sejnowski, T.J. (Ed.), Proceedings of the 3rd International Conference on Independent Component Analysis and Blind Signal Separation, San Diego, California, USA.

3. Truccolo WA, Ding M, Bressler SL (2000) Stability constraints for oscillatory neural networks. Neurocomputing, 32-33, 585-589.

2. Truccolo W, Dong DW (2000) Dynamic temporal decorrelation: Information theoretic and biophysical model of the functional role of the lateral geniculate nucleus (LGN). Investigative Ophthalmology & Visual Science, 41 (4): 259B259, Suppl. S MAR 15 2000.

1. Truccolo WA, Ding M, Bressler SL (2000) Dynamical analysis of an oscillatory cortical neural network. In Amari et al. (Eds). Neural Networks. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference, Volume: 6, 24-27, pp. 434 – 439.