ArticleJournal of neurophysiology2008
Detecting synfire chain activity using massively parallel spike train recording.
Article in Journal of neurophysiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- A quality measure for repeating multiple-unit spike patterns.Biological cybernetics · 2026Article
- Lattice physics approaches for neural networks.iScience · 2024Review
- Article
- Synthetic Data Resource and Benchmarks for Time Cell Analysis and Detection Algorithms.eNeuro · 2023Article
- Adaptive control of synaptic plasticity integrates micro- and macroscopic network function.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023Review
- Precise Spiking Motifs in Neurobiological and Neuromorphic Data.Brain sciences · 2022Review
- Sequence learning, prediction, and replay in networks of spiking neurons.PLoS computational biology · 2022Article
- Fast and flexible sequence induction in spiking neural networks via rapid excitability changes.eLife · 2019Article
- Article
- Comparing Open-Source Toolboxes for Processing and Analysis of Spike and Local Field Potentials Data.Frontiers in neuroinformatics · 2019Review
- Functional Scaffolding for Brain Implants: Engineered Neuronal Network by Microfabrication and iPSC Technology.Frontiers in neuroscience · 2019Article
- Excitable neuronal assemblies with adaptation as a building block of brain circuits for velocity-controlled signal propagation.PLoS computational biology · 2018Article
- A Bit-Encoding Based New Data Structure for Time and Memory Efficient Handling of Spike Times in an Electrophysiological Setup.Neuroinformatics · 2018Article
- Methods for identification of spike patterns in massively parallel spike trains.Biological cybernetics · 2018Article
- VIOLA-A Multi-Purpose and Web-Based Visualization Tool for Neuronal-Network Simulation Output.Frontiers in neuroinformatics · 2018Article
- Long-range synchrony and emergence of neural reentry.Scientific reports · 2016Article
- ASSET: Analysis of Sequences of Synchronous Events in Massively Parallel Spike Trains.PLoS computational biology · 2016Article
- Functional congruity in local auditory cortical microcircuits.Neuroscience · 2016Article
- Communication through resonance in spiking neuronal networks.PLoS computational biology · 2014Article
- An investigation of Hebbian phase sequences as assembly graphs.Frontiers in neural circuits · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The synfire chain model has been proposed as the substrate that underlies computational processes in the brain and has received extensive theoretical study. In this model cortical tissue is composed of a superposition of feedforward subnetworks (chains) each capable of transmitting packets of synchronized spikes with high reliability. Computations are then carried out by interactions of these chains. Experimental evidence for synfire chains has so far been limited to inference from detection of a few repeating spatiotemporal neuronal firing patterns in multiple single-unit recordings. Demonstration that such patterns actually come from synfire activity would require finding a meta organization among many detected patterns, as yet an untried approach. In contrast we present here a new method that directly visualizes the repetitive occurrence of synfire activity even in very large data sets of multiple single-unit recordings. We achieve reliability and sensitivity by appropriately averaging over neuron space (identities) and time. We test the method with data from a large-scale balanced recurrent network simulation containing 50 randomly activated synfire chains. The sensitivity is high enough to detect synfire chain activity in simultaneous single-unit recordings of 100 to 200 neurons from such data, enabling application to experimental data in the near future.
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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.