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Titolo:
Negative interspike interval correlations increase the neuronal capacity for encoding time-dependent stimuli
Autore:
Chacron, MJ; Longtin, A; Maler, L;
Indirizzi:
Univ Ottawa, Dept Phys, Ottawa, ON K1N 6N5, Canada Univ Ottawa Ottawa ON Canada K1N 6N5 ept Phys, Ottawa, ON K1N 6N5, Canada Univ Ottawa, Dept Cellular & Mol Med, Ottawa, ON K1H 8M5, Canada Univ Ottawa Ottawa ON Canada K1H 8M5 Mol Med, Ottawa, ON K1H 8M5, Canada
Titolo Testata:
JOURNAL OF NEUROSCIENCE
fascicolo: 14, volume: 21, anno: 2001,
pagine: 5328 - 5343
SICI:
0270-6474(20010715)21:14<5328:NIICIT>2.0.ZU;2-6
Fonte:
ISI
Lingua:
ENG
Soggetto:
FISH APTERONOTUS-LEPTORHYNCHUS; FREQUENCY ELECTRIC FISH; NEURAL SPIKE TRAINS; AUDITORY-NERVE; AMPLITUDE MODULATIONS; FRACTAL CHARACTER; VARYING SIGNALS; VISUAL-SYSTEM; ELECTRORECEPTORS; INFORMATION;
Keywords:
electrosensory afferent; electrolocation; interspike intervals; spike train variability; weak signal detection; correlations; information theory; resonance;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
63
Recensione:
Indirizzi per estratti:
Indirizzo: Chacron, MJ Univ Ottawa, Dept Phys, 150 Louis Pasteur, Ottawa, ON K1N 6N5,Canada Univ Ottawa 150 Louis Pasteur Ottawa ON Canada K1N 6N5 Canada
Citazione:
M.J. Chacron et al., "Negative interspike interval correlations increase the neuronal capacity for encoding time-dependent stimuli", J NEUROSC, 21(14), 2001, pp. 5328-5343

Abstract

Accurate detection of sensory input is essential for the survival of a species. Weakly electric fish use amplitude modulations of their self-generated electric field to probe their environment, P-type electroreceptors convert these modulations into trains of action potentials. Cumulative relative refractoriness in these afferents leads to negatively correlated successive interspike intervals (ISIs). We use simple and accurate models of P-unit firing to show that these refractory effects lead to a substantial increase in the animal's ability to detect sensory stimuli. This assessment is based on two approaches, signal detection theory and information theory. The former is appropriate for low-frequency stimuli, and the latter for high-frequency stimuli, For low frequencies, we find that signal detection is dependent on differences in mean firing rate and is optimal for a counting time at which spike train variability is minimal. Furthermore, we demonstrate that this minimum arises from the presence of negative ISI correlations at shortlags and of positive ISI correlations that extend out to long lags. Although ISI correlations might be expected to reduce information transfer, in fact we find that they improve information transmission about time-varying stimuli. This is attributable to the differential effect that these correlations have on the noise and baseline entropies. Furthermore, the gain in information transmission rate attributable to correlations exhibits a resonanceas a function of stimulus bandwidth; the maximum occurs when the inverse of the cutoff frequency of the stimulus is of the order of the decay time constant of refractory effects. Finally, we show that the loss of potential information caused by a decrease in spike-timing resolution is smaller for low stimulus cutoff frequencies than for high ones. This suggests that a rate code is used for the encoding of low-frequency stimuli, whereas spike timing is important for the encoding of high-frequency stimuli.

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Documento generato il 04/12/20 alle ore 13:19:49