ArticleJournal of mathematical neuroscience2015
A Simple Mechanism for Beyond-Pairwise Correlations in Integrate-and-Fire Neurons.
Article in Journal of mathematical neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Article
- Uncovering hidden network architecture from spiking activities using an exact statistical input-output relation of neurons.Communications biology · 2023Article
- Methods for identification of spike patterns in massively parallel spike trains.Biological cybernetics · 2018Article
- The Energy Landscape of Neurophysiological Activity Implicit in Brain Network Structure.Scientific reports · 2018Article
- Cliques and cavities in the human connectome.Journal of computational neuroscience · 2018Article
- Generative models for network neuroscience: prospects and promise.Journal of the Royal Society, Interface · 2017Review
- From the statistics of connectivity to the statistics of spike times in neuronal networks.Current opinion in neurobiology · 2017Review
- Robust information propagation through noisy neural circuits.PLoS computational biology · 2017Article
- Stochastic Network Models in Neuroscience: A Festschrift for Jack Cowan. Introduction to the Special Issue.Journal of mathematical neuroscience · 2016Article
- When do microcircuits produce beyond-pairwise correlations?Frontiers in computational neuroscience · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The collective dynamics of neural populations are often characterized in terms of correlations in the spike activity of different neurons. We have developed an understanding of the circuit mechanisms that lead to correlations among cell pairs, but little is known about what determines the population firing statistics among larger groups of cells. Here, we examine this question for a simple, but ubiquitous, circuit feature: common fluctuating input arriving to spiking neurons of integrate-and-fire type. We show that this leads to strong beyond-pairwise correlations-that is, correlations that cannot be captured by maximum entropy models that extrapolate from pairwise statistics-as for earlier work with discrete threshold crossing (dichotomous Gaussian) models. Moreover, we find that the same is true for another widely used, doubly stochastic model of neural spiking, the linear-nonlinear cascade. We demonstrate the strong connection between the collective dynamics produced by integrate-and-fire and dichotomous Gaussian models, and show that the latter is a surprisingly accurate model of the former. Our conclusion is that beyond-pairwise correlations can be both broadly expected and possible to describe by simplified (and tractable) statistical models.
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.