ArticlePLoS computational biology2013
Learning contrast-invariant cancellation of redundant signals in neural systems.
Article in PLoS computational biology, 2013. 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.
- Time-delay reservoir for signal demixing using Kalman weight updates in fixed point and limit cycle regimes.Scientific reports · 2026Article
- Electrosensory midbrain neurons optimally decode ascending input during object localization.The Journal of physiology · 2025Article
- Nonresponsive Neurons Improve Population Coding of Object Location.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Fractional order memcapacitive neuromorphic elements reproduce and predict neuronal function.Scientific reports · 2024Article
- Descending pathways increase sensory neural response heterogeneity to facilitate decoding and behavior.iScience · 2023Article
- Neuronal On- and Off-type heterogeneities improve population coding of envelope signals in the presence of stimulus-induced noise.Scientific reports · 2020Article
- Learning to generalize.eLife · 2019Article
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- Novel Functions of Feedback in Electrosensory Processing.Frontiers in integrative neuroscience · 2019Article
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- Descending pathways generate perception of and neural responses to weak sensory input.PLoS biology · 2018Article
- Variable synaptic strengths controls the firing rate distribution in feedforward neural networks.Journal of computational neuroscience · 2018Article
- Electrosensory neural responses to natural electro-communication stimuli are distributed along a continuum.PloS one · 2017Article
- Adaptation to second order stimulus features by electrosensory neurons causes ambiguity.Scientific reports · 2016Article
- Firing rate dynamics in recurrent spiking neural networks with intrinsic and network heterogeneity.Journal of computational neuroscience · 2015Article
- Subtractive, divisive and non-monotonic gain control in feedforward nets linearized by noise and delays.Frontiers in computational neuroscience · 2014Article
- Article
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5 authors.
Funding
Abstract
Cancellation of redundant information is a highly desirable feature of sensory systems, since it would potentially lead to a more efficient detection of novel information. However, biologically plausible mechanisms responsible for such selective cancellation, and especially those robust to realistic variations in the intensity of the redundant signals, are mostly unknown. In this work, we study, via in vivo experimental recordings and computational models, the behavior of a cerebellar-like circuit in the weakly electric fish which is known to perform cancellation of redundant stimuli. We experimentally observe contrast invariance in the cancellation of spatially and temporally redundant stimuli in such a system. Our model, which incorporates heterogeneously-delayed feedback, bursting dynamics and burst-induced STDP, is in agreement with our in vivo observations. In addition, the model gives insight on the activity of granule cells and parallel fibers involved in the feedback pathway, and provides a strong prediction on the parallel fiber potentiation time scale. Finally, our model predicts the existence of an optimal learning contrast around 15% contrast levels, which are commonly experienced by interacting fish.
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