ArticleFrontiers in computational neuroscience2013
Neural variability, or lack thereof.
Article in Frontiers in computational neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Low frequency independent components: Internal neuromarkers linking cortical LFPs to behavior.iScience · 2024Article
- The prefrontal cortex of the Mexican free-tailed bat is more selective to communication calls than primary auditory cortex.Journal of neurophysiology · 2022Article
- Robust Coding of Eye Position in Posterior Parietal Cortex despite Context-Dependent Tuning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Neural synchrony in cortical networks: mechanisms and implications for neural information processing and coding.Frontiers in integrative neuroscience · 2022Article
- Prefrontal cortical activity predicts the occurrence of nonlocal hippocampal representations during spatial navigation.PLoS biology · 2021Article
- Trial-to-Trial Variability in Electrodermal Activity to Odor in Autism.Autism research : official journal of the International Society for Autism Research · 2020Article
- Fronto-Temporal Coupling Dynamics During Spontaneous Activity and Auditory Processing in the BatFrontiers in systems neuroscience · 2020Article
- Cortical reliability amid noise and chaos.Nature communications · 2019Article
- Dynamics of motor cortical activity during naturalistic feeding behavior.Journal of neural engineering · 2019Article
- Fluctuations in Human Corticospinal Activity Prior to Grasp.Frontiers in systems neuroscience · 2019Article
- STDP Allows Close-to-Optimal Spatiotemporal Spike Pattern Detection by Single Coincidence Detector Neurons.Neuroscience · 2018Article
- Dethroning the Fano Factor: A Flexible, Model-Based Approach to Partitioning Neural Variability.Neural computation · 2018Article
- Winnerless competition in clustered balanced networks: inhibitory assemblies do the trick.Biological cybernetics · 2018Article
- Optimal Localist and Distributed Coding of Spatiotemporal Spike Patterns Through STDP and Coincidence Detection.Frontiers in computational neuroscience · 2018Article
- Cortical Variability and Challenges for Modeling Approaches.Frontiers in systems neuroscience · 2017Article
- Neural Code-Frontiers in cellular neuroscience · 2017Article
- The HTM Spatial Pooler-A Neocortical Algorithm for Online Sparse Distributed Coding.Frontiers in computational neuroscience · 2017Article
- The structure function as new integral measure of spatial and temporal properties of multichannel EEG.Brain informatics · 2016Article
- Flexible models for spike count data with both over- and under- dispersion.Journal of computational neuroscience · 2016Article
- Microsaccades enable efficient synchrony-based coding in the retina: a simulation study.Scientific reports · 2016Article
Corrections and comments
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Authors and funding
1 author.
Funding
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Abstract
We do not claim that the brain is completely deterministic, and we agree that noise may be beneficial in some cases. But we suggest that neuronal variability may be often overestimated, due to uncontrolled internal variables, and/or the use of inappropriate reference times. These ideas are not new, but should be re-examined in the light of recent experimental findings: trial-to-trial variability is often correlated across neurons, across trials, greater for higher-order neurons, and reduced by attention, suggesting that "intrinsic" sources of noise can only account for a minimal part of it. While it is obviously difficult to control for all internal variables, the problem of reference time can be largely avoided by recording multiple neurons at the same time, and looking at statistical structures in relative latencies. These relative latencies have another major advantage: they are insensitive to the variability that is shared across neurons, which is often a significant part of the total variability. Thus, we suggest that signal-to-noise ratios in the brain may be much higher than usually thought, leading to reactive systems, economic in terms of number of neurons, and energy efficient.
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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.