Dr. Alexander P. Nikitin Profile

Dr. Alexander P. Nikitin

at Univ of Warwick

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Author

Publications (5)

Proceedings Article | 15 June 2007 Paper

Stochastic beamforming for cochlear implant coding

Robert Morse, Stephen Holmes, Boris Shulgin, Alexander Nikitin, Nigel Stocks

Proceedings Volume 6602, 66020U (2007) https://doi.org/10.1117/12.725416

KEYWORDS: Electrodes, Nerve, Stochastic processes, Receptors, Interference (communication), Ear, Signal processing, Signal to noise ratio, Structured optical fibers, Deconvolution

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Proceedings Article | 8 June 2007 Paper

A hierarchy of phase transitions in optimal neuronal coding: from binary to M-ary discrete optimal codes

A. Nikitin, N. Stocks, R. Morse

Proceedings Volume 6602, 66020H (2007) https://doi.org/10.1117/12.724410

KEYWORDS: Neurons, Binary data, Quantization, Neurotransmitters, Computer programming, Ion channels, Estimation theory, Ear, Sensors, Synaptic cleft

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Proceedings Article | 23 May 2005 Paper

Enhanced information transmission mediated by multiplicative noise

Alexander Nikitin, Nigel Stocks, Robert Morse

Proceedings Volume 5841, (2005) https://doi.org/10.1117/12.610836

KEYWORDS: Interference (communication), Stochastic processes, Sensors, Neurons, Systems modeling, Nerve, Computer simulations, Solids, Communication engineering, Neuroscience

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Proceedings Article | 25 May 2004 Paper

Estimation of periodicity in synchronised systems

Alexander Nikitin, Nigel Stocks

Proceedings Volume 5471, (2004) https://doi.org/10.1117/12.547024

KEYWORDS: Stochastic processes, Signal to noise ratio, Diffusion, Systems modeling, Interference (communication), Oscillators, Neurons, Correlation function, Signal processing, Switching

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Proceedings Article | 25 May 2004 Paper

The application of Gaussian channel theory to the estimation of information transmission rates in neural systems

Alexander Nikitin, Nigel Stocks

Proceedings Volume 5467, (2004) https://doi.org/10.1117/12.547114

KEYWORDS: Stochastic processes, Sensors, Complex systems, Solids, Action potentials, Neurons, Estimation theory, Matrices, Direct methods, Linear filtering

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