ArticlePloS one2010
Sensory adaptation and short term plasticity as Bayesian correction for a changing brain.
Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Sensory Adaptation in the Whisker-Mediated Tactile System: Physiology, Theory, and Function.Frontiers in neuroscience · 2021Review
- Computational principles of neural adaptation for binaural signal integration.PLoS computational biology · 2020Article
- The Role of Bottom-Up and Top-Down Cortical Interactions in Adaptation to Natural Scene Statistics.Frontiers in neural circuits · 2019Article
- Specificity and timescales of cortical adaptation as inferences about natural movie statistics.Journal of vision · 2016Article
- Slow feature analysis with spiking neurons and its application to audio stimuli.Journal of computational neuroscience · 2016Article
- Article
- Synaptic and nonsynaptic plasticity approximating probabilistic inference.Frontiers in synaptic neuroscience · 2014Article
- Intra-day signal instabilities affect decoding performance in an intracortical neural interface system.Journal of neural engineering · 2013Article
- Perceiving invisible light through a somatosensory cortical prosthesis.Nature communications · 2013Article
- The influence of surround suppression on adaptation effects in primary visual cortex.Journal of neurophysiology · 2012Article
- Perceptual inference predicts contextual modulations of sensory responses.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2012Article
- Statistical assessment of the stability of neural movement representations.Journal of neurophysiology · 2011Article
- Effects of mean luminance changes on human contrast perception: contrast dependence, time-course and spatial specificity.PloS one · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Neurons in the sensory system exhibit changes in excitability that unfold over many time scales. These fluctuations produce noise and could potentially lead to perceptual errors. However, to prevent such errors, postsynaptic neurons and synapses can adapt and counteract changes in the excitability of presynaptic neurons. Here we ask how neurons could optimally adapt to minimize the influence of changing presynaptic neural properties on their outputs. The resulting model, based on Bayesian inference, explains a range of physiological results from experiments which have measured the overall properties and detailed time-course of sensory tuning curve adaptation in the early visual cortex. We show how several experimentally measured short term plasticity phenomena can be understood as near-optimal solutions to this adaptation problem. This framework provides a link between high level computational problems, the properties of cortical neurons, and synaptic physiology.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.