Evidence of stochastic resonance in an auditory discrimination task may reflect response bias

Shepherd, Daniel; Hautus, Michael J.

doi:10.3758/app.71.8.1931

Cited by 5 publications

(3 citation statements)

References 43 publications

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“…Our work extends previous pioneering studies about SR in the auditory system (Jaramillo and Wiesenfeld 1998;Morse and Evans 1996;Ehrenberger et al 1999;Zeng et al 2000;Bibikov 2002;Long et al 2004;Joris et al 2005;Hong and Martin 2006;Ries 2007;Shepherd and Hautus 2009;Ward et al 2010;Tanaka et al 2010;Keceli et al 2012;Martignoli et al 2013;Mokri et al 2015). These studies have given insights into understanding SR in the auditory system when an external signal is present, i.e., they have focused on the positive effects of noise via SR on the extraction of Fig.…”

Section: Discussionsupporting

confidence: 76%

Augmenting Global Coherence in EEG Signals with Binaural or Monaural Noises

et al. 2020

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Internal stochastic resonance (internal SR) is a phenomenon of non-linear systems in which the addition of a non-zero level of noise produces an enhancement in the coherence between two or more signals. In a previous study, we found that the simultaneous administration of multisensory visual and auditory noise augments global coherence in electroencephalographic (EEG) signals via this phenomenon. Here, we examined whether such global coherence can also be augmented with at least one noisy acoustic source. We performed experiments on healthy subjects and applied the following binaural and monaural noise-stimulation protocols. First, we administered to the left ear Gaussian noise of fixed intensity, while we delivered to the right ear a second Gaussian noise of variable intensity levels (binaural protocol). Second, we applied the Gaussian noise of the same variable intensity levels but only to one ear (monaural protocol). We performed a permutation test analysis, finding that during both noise protocols there was a significant enhancement in the global coherence in EEG signals via the occurrence of internal SR within central pathways of the auditory system.

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Section: Discussionsupporting

confidence: 76%

Augmenting Global Coherence in EEG Signals with Binaural or Monaural Noises

et al. 2020

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“…Although the activation circulating among phonologically similar representations may, in many contexts, produce “noise” in the system and prove detrimental to performance for words with high C , in the present context this noise may improve detection of a weak signal (i.e., the decayed representation of the target word with high C ), much like moderate—but not excessively high or low—amounts of noise can improve signal-to-noise ratios in systems undergoing the phenomenon of stochastic resonance. Stochastic resonance has been observed in neural (e.g., Martínez, Pérez, Mirasso, & Manjarrez, 2007) and perceptual systems ( cf ., Shepherd & Hautus, 2009). The hint of this phenomenon in a cognitive system, as observed in the present experiment (see also Usher & Feingold, 2000), warrants further research.…”

Section: Resultsmentioning

confidence: 99%

Complex network structure influences processing in long-term and short-term memory

Vitevitch

Chan

Roodenrys

2012

Journal of Memory and Language

100

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Complex networks describe how entities in systems interact; the structure of such networks is argued to influence processing. One measure of network structure, clustering coefficient, C, measures the extent to which neighbors of a node are also neighbors of each other. Previous psycholinguistic experiments found that the C of phonological word-forms influenced retrieval from the mental lexicon (that portion of long-term memory dedicated to language) during the on-line recognition and production of spoken words. In the present study we examined how network structure influences other retrieval processes in long- and short-term memory. In a false-memory task—examining long-term memory—participants falsely recognized more words with low- than high-C. In a recognition memory task—examining veridical memories in long-term memory—participants correctly recognized more words with low- than high-C. However, participants in a serial recall task—examining redintegration in short-term memory—recalled lists comprised of high-C words more accurately than lists comprised of low-C words. These results demonstrate that network structure influences cognitive processes associated with several forms of memory including lexical, long-term, and short-term.

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“…Noise is omnipresent in sensory systems, ranging from the emission of neurotransmitters from the presynaptic membrane to the behavioral results in visual and auditory experiments (e.g., [6], [46], [47], [48], [49], [50], [51]). For example, a recent study suggested that the addition of an appropriate amount of external noise can improve the perception of an “uncertain” visual signal that is difficult to detect [52], [53].…”

Section: The Role Of Noise In Fundamental Biomedical Systemsmentioning

confidence: 99%

Necessity of noise in physiology and medicine

Sejdić

Lipsitz

2013

Computer Methods and Programs in Biomedicine

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Noise is omnipresent in biomedical systems and signals. Conventional views assume that its presence is detrimental to systems’ performance and accuracy. Hence, various analytic approaches and instrumentation have been designed to remove noise. On the contrary, recent contributions have shown that noise can play a beneficial role in biomedical systems. The results of this literature review indicate that noise is an essential part of biomedical systems and often plays a fundamental role in the performance of these systems. Furthermore, in preliminary work, noise has demonstrated therapeutic potential to alleviate the effects of various diseases. Further research into the role of noise and its applications in medicine is likely to lead to novel approaches to the treatment of diseases and prevention of disability.

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Evidence of stochastic resonance in an auditory discrimination task may reflect response bias

Cited by 5 publications

References 43 publications

Augmenting Global Coherence in EEG Signals with Binaural or Monaural Noises

Augmenting Global Coherence in EEG Signals with Binaural or Monaural Noises

Complex network structure influences processing in long-term and short-term memory

Necessity of noise in physiology and medicine

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