ArticleFrontiers in computational neuroscience2019
Recurrence Resonance" in Three-Neuron Motifs.
Article in Frontiers in computational neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 43 citations in OpenAlex.
- Illuminating the black box of reservoir computing.Scientific reports · 2026Article
- Enhancing Neuromorphic Robustness via Recurrence Resonance: The Role of Shared Weak Attractors in Quantum Logic Networks.Biomimetics (Basel, Switzerland) · 2026Article
- Structural and dynamical strategies to prevent runaway excitation in reservoir computing.Frontiers in computational neuroscience · 2026Review
- Recurrence Resonance and 1/Entropy (Basel, Switzerland) · 2025Article
- Analysis of argument structure constructions in a deep recurrent language model.Frontiers in computational neuroscience · 2025Article
- Analysis of argument structure constructions in the large language model BERT.Frontiers in artificial intelligence · 2025Article
- Tinnitus is associated with increased extracellular matrix density in the auditory cortex of Mongolian gerbils.BMC neuroscience · 2024Article
- Coincidence detection and integration behavior in spiking neural networks.Cognitive neurodynamics · 2024Article
- Predictive coding and stochastic resonance as fundamental principles of auditory phantom perception.Brain : a journal of neurology · 2023Review
- Extracting continuous sleep depth from EEG data without machine learning.Neurobiology of sleep and circadian rhythms · 2023Article
- Neural network based formation of cognitive maps of semantic spaces and the putative emergence of abstract concepts.Scientific reports · 2023Article
- Classification at the accuracy limit: facing the problem of data ambiguity.Scientific reports · 2022Article
- Control of noise-induced coherent oscillations in three-neuron motifs.Cognitive neurodynamics · 2022Article
- Neural network based successor representations to form cognitive maps of space and language.Scientific reports · 2022Article
- Dynamics and Information Import in Recurrent Neural Networks.Frontiers in computational neuroscience · 2022Article
- Intrinsic Noise Improves Speech Recognition in a Computational Model of the Auditory Pathway.Frontiers in neuroscience · 2022Article
- Simulated transient hearing loss improves auditory sensitivity.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stochastic Resonance (SR) and Coherence Resonance (CR) are non-linear phenomena, in which an optimal amount of noise maximizes an objective function, such as the sensitivity for weak signals in SR, or the coherence of stochastic oscillations in CR. Here, we demonstrate a related phenomenon, which we call "Recurrence Resonance" (RR): noise can also improve the information flux in recurrent neural networks. In particular, we show for the case of three-neuron motifs with ternary connection strengths that the mutual information between successive network states can be maximized by adding a suitable amount of noise to the neuron inputs. This striking result suggests that noise in the brain may not be a problem that needs to be suppressed, but indeed a resource that is dynamically regulated in order to optimize information processing.
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