Internal stochastic resonance in the coherence between spinal and cortical neuronal ensembles in the cat

Manjarrez, Elı́as; Rojas-Piloni, J.G.; Méndez, Ignacio; Martínez, Lourdes; Velez, Daniel A.; Vázquez, D.; Flores, Amira

doi:10.1016/s0304-3940(02)00318-x

Cited by 76 publications

(58 citation statements)

References 16 publications

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“…The effects of noise on synchronization have also been explored in Hodgkin-Huxley neuronal networks (Wang et al, 2010) and other theoretical small-world networks (Perc, 2007(Perc, , 2008. In the somatosensory system, using afferent stimulation and simultaneously recording spinal and cortical evoked potentials in anesthetized cats, we reported that an intermediate level of tactile noise can enhance the coherence between the spinal and cortical evoked activity (Manjarrez et al, 2002b). In the visual system, Kitajo et al (2007) showed that the addition of noise can produce a significant phase synchronization of EEG signals from widely separated cortical areas.…”

Section: The Role Of the Peripheral Cutaneous Receptors And Of Musclementioning

confidence: 99%

Improved Sensorimotor Performance via Stochastic Resonance

et al. 2012

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Several studies about noise-enhanced balance control in humans support the hypothesis that stochastic resonance can enhance the detection and transmission in sensorimotor system during a motor task. The purpose of the present study was to extend these findings in a simpler and controlled task. We explored whether a particular level of a mechanical Gaussian noise (0 -15 Hz) applied on the index finger can improve the performance during compensation for a static force generated by a manipulandum. The finger position was displayed on a monitor as a small white point in the center of a gray circle. We considered a good performance when the subjects exhibited a low deviation from the center of this circle and when the performance had less variation over time. Several levels of mechanical noise were applied on the manipulandum. We compared the performance between zero noise (ZN), optimal noise (ON), and high noise (HN). In all subjects (8 of 8) the data disclosed an inverted U-like graph between the inverse of the mean variation in position and the input noise level. In other words, the mean variation was significantly smaller during ON than during ZN or HN. The findings suggest that the application of a tactile-proprioceptive noise can improve the stability in sensorimotor performance via stochastic resonance. Possible explanations for this improvement in motor precision are an increase of the peripheral receptors sensitivity and of the internal stochastic resonance, causing a better sensorimotor integration and an increase in corticomuscular synchronization.

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Section: The Role Of the Peripheral Cutaneous Receptors And Of Musclementioning

confidence: 99%

Improved Sensorimotor Performance via Stochastic Resonance

et al. 2012

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“…The output of a noise generator (model 132, Wavetek, San Diego, CA) provided input to a closed-loop mechanical stimulator-transducer (Chubbuck 1966), which allowed measurements of the force and displacement of the applied stimuli. This method of tactile stimulation was previously reported by our laboratory (Manjarrez et al 2002(Manjarrez et al , 2003.…”

Section: Experimental Paradigmmentioning

confidence: 99%

“…SR-type effects have been demonstrated in physical and biological systems (Moss et al 2004). Commonly, SR has been studied in diverse sensory systems in which the signal and noise applied were of the same sensory modality (Aihara et al 2010;Collins et al 1996;Lindner et al 2004;Long et al 2004;Manjarrez et al 2002Manjarrez et al , 2003Mori and Kai 2002;Segundo et al 1994;Simonotto et al 1997;Winterer et al 1999;Zeng et al 2000); however, there are a few studies addressing the influence of noise within one sensory modality on the responses elicited by stimuli of another modality. The purpose of the present study was to analyze changes in the amplitude of visual evoked potentials (VEPs) when a continuous tactile noise was applied on the index finger.…”

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confidence: 99%

Effect of mechanical tactile noise on amplitude of visual evoked potentials: multisensory stochastic resonance

Méndez-Balbuena

Huidobro

Silva

et al. 2015

Journal of Neurophysiology

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“…Among them, the most studied noiseinduced phenomenon is the SR, which originally refers to the enhancement of information transfer in a nonlinear system at an optimal noise level in the presence of a weak periodic signal [23,24]. Remarkably, evidence of SR has been demonstrated in many experimental studies [25][26][27], indicating that noise may indeed participate into the signal transduction in neural systems.…”

Section: Introductionmentioning

confidence: 99%

Frequency-difference-dependent stochastic resonance in neural systems

et al. 2017

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Biological neurons receive multiple noisy oscillatory signals, and their dynamical response to the superposition of these signals is of fundamental importance for information processing in the brain. Here we study the response of neural systems to the weak envelope modulation signal, which is superimposed by two periodic signals with different frequencies. We show that stochastic resonance occurs at the beat frequency in neural systems at the single-neuron as well as the population level. The performance of this frequency-difference-dependent stochastic resonance is influenced by both the beat frequency and the two forcing frequencies. Compared to a single neuron, a population of neurons is more efficient in detecting the information carried by the weak envelope modulation signal at the beat frequency. Furthermore, an appropriate fine-tuning of the excitationinhibition balance can further optimize the response of a neural ensemble to the superimposed signal. Our results thus introduce and provide insights into the generation and modulation mechanism of the frequencydifference-dependent stochastic resonance in neural systems.

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Internal stochastic resonance in the coherence between spinal and cortical neuronal ensembles in the cat

Cited by 76 publications

References 16 publications

Improved Sensorimotor Performance via Stochastic Resonance

Improved Sensorimotor Performance via Stochastic Resonance

Effect of mechanical tactile noise on amplitude of visual evoked potentials: multisensory stochastic resonance

Frequency-difference-dependent stochastic resonance in neural systems

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