2019
DOI: 10.1007/s11071-019-05060-z
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Inhibitory-autapse-enhanced signal transmission in neural networks

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Cited by 48 publications
(13 citation statements)
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“…Another important application is concerned with signal processing. In this direction, VR has been proposed for the transmission, filtering and amplification of signals; such applications have been demonstrated both theoretically and experimentally [78] , [79] , [80] , [81] . In rotational machinery quite generally, bearings play crucial roles e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Another important application is concerned with signal processing. In this direction, VR has been proposed for the transmission, filtering and amplification of signals; such applications have been demonstrated both theoretically and experimentally [78] , [79] , [80] , [81] . In rotational machinery quite generally, bearings play crucial roles e.g.…”
Section: Introductionmentioning
confidence: 99%
“…For example, an inhibitory autapse with time delay, which corresponds to a slow autapse, can enhance firing frequency, which is a novel phenomenon different from the common viewpoint that inhibitory effects should induce the reduction of firing frequency 59 . An inhibitory autapse can induce the enhancement of signal transmission in neuronal networks 60 , and the enhancement of bursting 61 has been simulated and analyzed in theoretical models. An excitatory or inhibitory autapse can induce a transition between type I and II excitability 15,16 .…”
Section: Different Dynamical Behaviors Induced By Slow Excitatory Feementioning
confidence: 99%
“…Following its introduction by Landa & McClintock [23] and motivated by the aforementioned potential applications, VR has now been demonstrated and analysed in a diversity of model systems theoretically, numerically and experimentally, cutting across many fields such as neuroscience, plasma physics, laser physics, acoustics and engineering. Specifically, the VR phenomenon has been investigated in bistable systems [24,2835], multistable systems [36,37], ratchet devices [38], excitable systems [39], quintic oscillators [4044], coupled oscillators [25,4547], overdamped systems [30], delayed dynamical systems [44,46,4852], asymmetric Duffing oscillators [53], fractional order oscillators [32,42,54], neural models [39,50,5561], oscillatory networks [46,55,5860,6264], biological nonlinear systems [49,61,64], parametrically excited systems [34,6569], systems with nonlinear damping [37,7072], and deformed potential [73], disordered systems [74], quantum systems [75,76], as well as harmonically trapped and roughed potentials [72,77]. More importantly, VR has been demonstrated in experimental realizations, especially in multistable systems, arrays of hard limiters, bistable vertical-cavity surface-emitting lasers [28,29,33,7881] and Chua circuits [82,83].…”
Section: Introductionmentioning
confidence: 99%
“…The potential applications of VR have been explored in, for instance, improving energy harvesting from mechanical vibrations [90], energy detectors [91], the detection, transmission and amplification of signals [60,92,93], and the detection of faults in bearings [9497], as well as in the design of dual input multiple output (DIMO) logic gates and memory devices [83,98100].…”
Section: Introductionmentioning
confidence: 99%