Collective dynamics in human and monkey sensorimotor cortex: Predicting single neuron spikes

Nature Neuroscience

Volumn 13, Issue 1, 2010, Pages 105-111

  Truccolo, Wilson ^a,b,e   Hochberg, Leigh R ^b,c,d,e,f   Donoghue, John P ^a,b,d  

^a BROWN UNIVERSITY   (United States)

^b BROWN UNIVERSITY   (United States)

^c Brown University   (United States)

^d DEPARTMENT OF VETERANS AFFAIRS   (United States)

^e MASSACHUSETTS GENERAL HOSPITAL   (United States)

^f BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ADAPTIVE BEHAVIOR; ARTICLE; BRAIN REGION; COGNITION; DYNAMICS; HUMAN; MONKEY; NERVE CELL NETWORK; NONHUMAN; PRIMATE; PRIORITY JOURNAL; SENSORIMOTOR CORTEX; SPIKE; ACTION POTENTIAL; ADULT; ANIMAL; BIOLOGICAL MODEL; BRAIN CORTEX; CLINICAL TRIAL; CYTOLOGY; FACTUAL DATABASE; FEMALE; MACACA; MALE; MIDDLE AGED; NERVE CELL; NONLINEAR SYSTEM; PATHOLOGY; PHYSIOLOGY; PREDICTION AND FORECASTING; PROBABILITY; QUADRIPLEGIA; RECEIVER OPERATING CHARACTERISTIC; STATISTICS;

ACTION POTENTIALS; ANIMALS; CEREBRAL CORTEX; CLINICAL TRIALS AS TOPIC; DATABASES, FACTUAL; FEMALE; HUMANS; MACACA MULATTA; MALE; MIDDLE AGED; MODELS, NEUROLOGICAL; NEURONS; NONLINEAR DYNAMICS; PREDICTIVE VALUE OF TESTS; PROBABILITY; QUADRIPLEGIA; ROC CURVE; YOUNG ADULT;

EID: 73949086190     PISSN: 10976256     EISSN: None     Source Type: Journal    
DOI: 10.1038/nn.2455     Document Type: Article

References (39)

1. Braitenberg, V. & Schüz, A. Cortex: Statistics and Geometry of Neuronal Connectivity (Springer-Verlag, New York, 1998).
2. Elston, G.N. & Rockland, K.S. The pyramidal cell of the sensorimotor cortex of the macaque monkey: phenotypic variation. Cereb. Cortex 12, 1071-1078 (2002).
3. Dayan, P. & Abbott, L.F. Theoretical Neuroscience (MIT Press, Cambridge, Massachusetts, 2001).
4. Destexhe, A., Rudolph, M. & Paré, D. The high-conductance state of neocortical neurons in vivo. Nat. Rev. Neurosci. 4, 739-751 (2003).
5. Arieli, A., Sterkin, A., Grinvald, A. & Aertsen, A. Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses. Science 273, 1868-1871 (1996).
6. Harris, K.D., Csicsvari, J., Hirase, H., Dragoi, G. & Buzsaki, G. Organization of cell assemblies in the hippocampus. Nature 424, 552-556 (2003).
7. Schneidman, E., Berry, M., Segev, R. & Bialek, W. Weak pair-wise correlations imply strongly correlated network states in a neural population. Nature 440, 1007-1012 (2006).
8. Shlens, J. et al. The structure of multi-neuron fring patterns in primate retina. J. Neurosci. 26, 8254-8266 (2006).
9. Pillow, J.W. et al. Spatio-temporal correlations and visual signaling in a complete neuronal population. Nature 454, 995-999 (2008).
10. Yu, S., Huang, D., Singer, W. & Nikolic, D. A small world of neuronal synchrony. Cereb. Cortex 18, 2891-2901 (2008).
11. Tang, A. et al. A maximum entropy model applied to spatial and temporal correlations from cortical networks in vitro. J. Neurosci. 28, 505-518 (2008).
12. Jones, E.G., Coulter, J.D. & Hendry, S.H. Intracortical connectivity of architectonic felds in the somatic sensory, motor and parietal cortex of monkeys. J. Comp. Neurol. 181, 291-347 (1978).
13. Shimazu, H., Maier, M.A., Cerri, G., Kirkwood, P.A. & Lemon, R.N. Macaque ventral premotor cortex exerts powerful facilitation of motor cortex outputs to upper limb motoneurons. J. Neurosci. 24, 1200-1211 (2004).
14. Kalaska, J.F., Scott, S.H., Cisek, P. & Sergio, L.E. Cortical control of reaching movements. Curr. Opin. Neurobiol. 7, 849-859 (1997).
15. Shadmehr, R. & Krakauer, J.W. A computational neuroanatomy for motor control. Exp. Brain Res. 185, 359-381 (2008).
16. Truccolo, W., Eden, U.T., Fellows, M.R., Donoghue, J.P. & Brown, E.N. A point process framework for relating neural spiking activity to spiking history, neural ensemble and extrinsic covariate effects. J. Neurophysiol. 93, 1074-1089 (2005).
17. Paninski, L., Pillow, J. & Lewi, J. Statistical models for neural encoding, decoding, and optimal stimulus design. Prog. Brain Res. 165, 493-507 (2007).
18. Truccolo, W. Stochastic point process models for multivariate neuronal spike train data: collective dynamics and neural decoding. in Analysis of Parallel Spike Train Data (eds. Grün, S. & Rotter, S.) (Springer, New York, in the press).
19. Fawcett, T. An introduction to ROC analysis. Pattern Recognit. Lett. 27, 861-874 (2006).
20. Bamber, D. The area above the ordinal dominance graph and the area below the receiver operating characteristic graph. J. Math. Psychol. 12, 387-415 (1975).
21. Hatsopoulos, N.G., Xu, Q. & Amit, Y. Encoding of movement fragments in the motor cortex. J. Neurosci. 27, 5105-5114 (2007).
22. Jaynes, E.T. On the rationale of maximum entropy methods. Proc. IEEE 70, 939-952 (1982).
23. Cover, T.M. & Thomas, J.A. Elements of Information Theory (Wiley & Sons, New York, 1991).
24. Landau, L.D. & Lifshitz, E.M. Statistical Physics 3rd edn (Butterworth & Heinemann, Oxford, UK, 1980).
25. Amit, D.J. Modeling Brain Function (Cambridge University Press, Cambridge, UK, 1989).
26. Geman, S. & Geman, D. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans. Pattern Anal. Mach. Intell. 6, 721-741 (1984).
27. Marre, O., El Boustani, S., Fregnac, Y. & Destexhe, A. Prediction of spatiotemporal patterns of neural activity from pair-wise correlations. Phys. Rev. Lett. 102, 138101 (2009).
28. Paninski, L., Fellows, M.R., Hatsopoulos, N.G. & Donoghue, J.P. Spatiotemporal tuning of motor neurons for hand position and velocity. J. Neurophysiol. 91, 515-532 (2004).
29. Wessberg, J. et al. Real-time prediction of hand trajectory by ensembles of cortical neurons in primates. Nature 408, 361-365 (2000).
30. Serruya, M.D., Hatsopoulos, N.G., Paninski, L., Fellows, M.R. & Donoghue, J.P. Instant neural control of a movement signal. Nature 416, 141-142 (2002).
31. Hochberg, L.R. et al. Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature 442, 164-171 (2006).
32. Truccolo, W., Friehs, G.M., Donoghue, J.P. & Hochberg, L.R. Primary motor cortex tuning to intended movement kinematics in humans with tetraplegia. J. Neurosci. 28, 1163-1178 (2008).
33. Yousry, T.A. et al. Localization of the motor hand area to a knob on the precentral gyrus. A new landmark. Brain 120, 141-157 (1997).
34. Daley, D.J. & Vere-Jones, D. An Introduction to Theory of Point Processes (Springer, New York, 2003).
35. Geweke, J. Measurement of linear dependence and feedback between multiple time series. J. Am. Stat. Assoc. 77, 304-314 (1982).
36. Besag, J. Statistical analysis of non-lattice data. Statistician 24, 179-195 (1975).
37. Geman, S. & Graffgne, C. Markov random feld image models and their application to computer vision. Proc. Int. Congr. Math. 1496-1517 (1986).
38. Gidas, B. Consistency of maximum likelihood and pseudo-likelihood estimators for Gibbsian distributions. in Stochastic Differential Systems, Stochastic Control Theory and Applications (eds. Fleming, W. & Lions, P.-L.) (Springer, New York, 1988).
39. Hyvärinen, A. Consistency of pseudolikelihood estimation of fully visible Boltzmann machines. Neural Comput. 18, 2283-2292 (2006).