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Abstract: A variety of off-line techniques have been developed for the reconstruction of stimuli from the responses of sensory neurons, providing a tremendous amount of insight into neural function. However, as the promise of engineered neural interfaces grows, there is an increasing need for real-time algorithms for prediction and control in neural systems. Recursive algorithms provide a significantly more efficient means for reconstructing sensory stimuli by utilizing past estimates to minimize the... (Update)
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BibTeX entry: (Update)
@misc{ stanley-recursive,
author = "Garrett B. Stanley",
title = "Recursive Stimulus Reconstruction Algorithms for Real-time Implementation
in Neural Ensembles",
url = "citeseer.ist.psu.edu/401704.html" }
Citations (may not include all citations):519 System Identification: Theory For the User (context) - Ljung - 1987
101 Adaptive Filtering Prediction and Control (context) - Goodwin, Sin - 1984
25 Interpreting neuronal population activity by reconstruction:.. - Zhang, Ginzburg et al. - 1998
12 Decoding visual information from a population of retinal gan.. - Warland, Reinagel et al. - 1997
12 A statistical paradigm for neural spike train decoding appli.. - Brown, Frank et al. - 1998
9 Dynamics of orientation tuning in macaque primary visual cor.. (context) - Ringach, Hawken et al. - 1997
9 Reconstruction of natural scenes from ensemble responses in .. - Stanley, Li et al. - 1999
6 Reading a neural code (context) - Bialek, Rieke et al. - 1991
5 Optimizing sound features for cortical neurons (context) - deCharms, Blake et al. - 1998
2 Dynamics of neurons in the cat lateral geniculate nucleus: i.. (context) - Mukherjee, Kaplan - 1995
Documents on the same site (http://www.deas.harvard.edu/~gstanley/research/publications.html):
Age Effects on Interrelationships between Lung.. - Stanley, Verotta, .. (1997) (Correct)
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