ArticlePLoS computational biology2016
Higher-Order Synaptic Interactions Coordinate Dynamics in Recurrent Networks.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 36 citations in OpenAlex.
- Inferring effective neuronal circuits via network flux counting.PLoS computational biology · 2026Article
- Network hypermotifs in biological systems: structure, dynamics, and functional implications.NPJ systems biology and applications · 2026Review
- Temporal resolution of spike coding in feedforward networks with signal convergence and divergence.PLoS computational biology · 2025Article
- The generative grammar of the brain: a critique of internally generated representations.Nature reviews. Neuroscience · 2024Review
- Dynamic structure of motor cortical neuron coactivity carries behaviorally relevant information.Network neuroscience (Cambridge, Mass.) · 2023Article
- Large-Scale Algorithmic Search Identifies Stiff and Sloppy Dimensions in Synaptic Architectures Consistent With Murine Neocortical Wiring.Neural computation · 2022Article
- Emergence of dynamic properties in network hypermotifs.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- An application of neighbourhoods in digraphs to the classification of binary dynamics.Network neuroscience (Cambridge, Mass.) · 2022Article
- Dopamine Transporter Is a Master Regulator of Dopaminergic Neural Network Connectivity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Cyclic transitions between higher order motifs underlie sustained asynchronous spiking in sparse recurrent networks.PLoS computational biology · 2020Article
- Network Analysis of Murine Cortical Dynamics Implicates Untuned Neurons in Visual Stimulus Coding.Cell reports · 2020Article
- Recurrent interactions can explain the variance in single trial responses.PLoS computational biology · 2020Article
- Relating network connectivity to dynamics: opportunities and challenges for theoretical neuroscience.Current opinion in neurobiology · 2019Review
- A Brief History of Simulation Neuroscience.Frontiers in neuroinformatics · 2019Review
- Article
- Functional triplet motifs underlie accurate predictions of single-trial responses in populations of tuned and untuned V1 neurons.PLoS computational biology · 2018Article
- Imbalanced amplification: A mechanism of amplification and suppression from local imbalance of excitation and inhibition in cortical circuits.PLoS computational biology · 2018Article
- Ensemble stacking mitigates biases in inference of synaptic connectivity.Network neuroscience (Cambridge, Mass.) · 2018Article
- Emergent cortical circuit dynamics contain dense, interwoven ensembles of spike sequences.Journal of neurophysiology · 2017Article
- Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function.Frontiers in computational neuroscience · 2017Article
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 at 1 institution in 1 country.
Funding
Abstract
Linking synaptic connectivity to dynamics is key to understanding information processing in neocortex. Circuit dynamics emerge from complex interactions of interconnected neurons, necessitating that links between connectivity and dynamics be evaluated at the network level. Here we map propagating activity in large neuronal ensembles from mouse neocortex and compare it to a recurrent network model, where connectivity can be precisely measured and manipulated. We find that a dynamical feature dominates statistical descriptions of propagating activity for both neocortex and the model: convergent clusters comprised of fan-in triangle motifs, where two input neurons are themselves connected. Fan-in triangles coordinate the timing of presynaptic inputs during ongoing activity to effectively generate postsynaptic spiking. As a result, paradoxically, fan-in triangles dominate the statistics of spike propagation even in randomly connected recurrent networks. Interplay between higher-order synaptic connectivity and the integrative properties of neurons constrains the structure of network dynamics and shapes the routing of information in neocortex.
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.