A mixed filter algorithm for state estimation from simultaneously recorded continuous-valued, point process and binary observations

Conference Record - Asilomar Conference on Signals, Systems and Computers

Volumn , Issue , 2006, Pages 1949-1953

  Coleman, Todd P ^a   Yanike, Marianna ^b   Suzuki, Wendy ^b   Brown, Emery N ^c  

^a United States of America

^b NYU

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 47049130000     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACSSC.2006.355104     Document Type: Conference Paper

References (8)

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2. A. C. Smith, M. R. Stefani, B. Moghaddam, and E. N. Brown, "Analysis and design of behavioral experiments to characterize population learning," Journal of Neurophysiology, vol. 93, pp. 1776-1792, 2005.
3. A. C. Smith and E. N. Brown, "Estimating a state-space model from point process observations," Neural Computation, vol. 15, pp. 965-991, 2003.
4. D. Daley and D. Vere-Jones, An Introduction to the theory of point processes. New York: Springer-Verlag, 1988.
5. E. N. Brown, R. B. R. E. Kass, and L. M. Frank, "The time-rescaling theorem and its application to neural spike train data analysis," Neural Computation, vol. 14, no. 2, pp. 325-346, 2002.
6. M. J. Prerau, A. C. Smith, M. Yanike, W. Suzuki, and E. N. Brown, "A mixed filter algorithm for simultaneously recorded continuous-valued and binary observations," IEEE Transactions on Biomedical Engineering, 2005.
7. U. T. Eden, L. M. Frank, R. Barbieri, V. Solo, and E. N. Brown, "Dynamic analyses of neural encoding by point process adaptive filtering," Neural Computation, vol. 16, no. 5, pp. 971-998, 2004.
8. E. N. Brown, L. M. Frank, L. M. Tang, M. Quirk, and M. Wilson, "A statistical paradigm for neural spike train decoding applied to position prediction from ensemble firing patterns of rat hippocampal place cells," Journal of Neuroscience, vol. 18, pp. 7411-7425, 1998.