论文信息 - Signal processing: Neural coding by correlation?

Signal processing: Neural coding by correlation?

Noise limits the efficiency of information transfer. But correlations of the intervals between signal pulses can reduce low-frequency noise and thereby increase the transfer of information.

Arun V. Holden

[1] Carson C. Chow,et al. Noise shaping in populations of coupled model neurons. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[2] C. Gray,et al. Cellular Mechanisms Contributing to Response Variability of Cortical Neurons In Vivo , 1999, The Journal of Neuroscience.

[3] Alexander Borst,et al. Information theory and neural coding , 1999, Nature Neuroscience.

[4] A. S. French,et al. The frequency response, coherence, and information capacity of two neuronal models. , 1972, Biophysical journal.

[5] Kurt Wiesenfeld,et al. Mechanoelectrical transduction assisted by Brownian motion: a role for noise in the auditory system , 1998, Nature Neuroscience.

[6] R Ratnam,et al. Nonrenewal Statistics of Electrosensory Afferent Spike Trains: Implications for the Detection of Weak Sensory Signals , 2000, The Journal of Neuroscience.

[7] André Longtin,et al. Noise shaping by interval correlations increases information transfer. , 2004, Physical review letters.

[8] L. Maler,et al. Negative Interspike Interval Correlations Increase the Neuronal Capacity for Encoding Time-Dependent Stimuli , 2001, The Journal of Neuroscience.