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André Longtin
Researcher at University of Ottawa
Publications - 267
Citations - 17294
André Longtin is an academic researcher from University of Ottawa. The author has contributed to research in topics: Electric fish & Population. The author has an hindex of 56, co-authored 260 publications receiving 16372 citations. Previous affiliations of André Longtin include Université de Montréal & McGill University.
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Testing for nonlinearity in time series: the method of surrogate data
TL;DR: In this article, a statistical approach for identifying nonlinearity in time series is described, which first specifies some linear process as a null hypothesis, then generates surrogate data sets which are consistent with this null hypothesis and finally computes a discriminating statistic for the original and for each of the surrogate sets.
Testing for nonlinearity in time series: The method of surrogate data
TL;DR: A statistical approach for identifying nonlinearity in time series which is demonstrated for numerical data generated by known chaotic systems, and applied to a number of experimental time series, which arise in the measurement of superfluids, brain waves, and sunspots.
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Stochastic resonance in neuron models
André Longtin,André Longtin +1 more
TL;DR: In this paper, an excitable cell model, the Fitzhugh-Nagumo equations, also reproduces these features when driven by additive periodic and stochastic forces, and the presence of a noise-induced limit cycle introduces a third time scale in the problem.
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Time-interval sequences in bistable systems and the noise-induced transmission of information by sensory neurons.
TL;DR: This analysis relies on linking this interval sequence to the firing-reset mechanism of real neurons, and illustrates the importance of the noise, without which sensory information cannot exist, for the transmission of sensory information.
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A dynamical model of saccade generation in reading based on spatially distributed lexical processing.
TL;DR: An alternative model of eye movement control is proposed, which includes three new principles: spatially distributed lexical processing, a separation of saccade timing from saccades with foveal inhibition, and autonomous (random) generation of sACCes with fveal inhibition.