TopicNeuroscience

synfire chains

Content Overview
3Total items
2ePosters
1Seminar

Latest

SeminarNeuroscience

Precise spatio-temporal spike patterns in cortex and model

Sonia Gruen
Forschungszentrum Jülich, Germany
Apr 26, 2023

The cell assembly hypothesis postulates that groups of coordinated neurons form the basis of information processing. Here, we test this hypothesis by analyzing massively parallel spiking activity recorded in monkey motor cortex during a reach-to-grasp experiment for the presence of significant ms-precise spatio-temporal spike patterns (STPs). For this purpose, the parallel spike trains were analyzed for STPs by the SPADE method (Stella et al, 2019, Biosystems), which detects, counts and evaluates spike patterns for their significance by the use of surrogates (Stella et al, 2022 eNeuro). As a result we find STPs in 19/20 data sets (each of 15min) from two monkeys, but only a small fraction of the recorded neurons are involved in STPs. To consider the different behavioral states during the task, we analyzed the data in a quasi time-resolved analysis by dividing the data into behaviorally relevant time epochs. The STPs that occur in the various epochs are specific to behavioral context - in terms of neurons involved and temporal lags between the spikes of the STP. Furthermore we find, that the STPs often share individual neurons across epochs. Since we interprete the occurrence of a particular STP as the signature of a particular active cell assembly, our interpretation is that the neurons multiplex their cell assembly membership. In a related study, we model these findings by networks with embedded synfire chains (Kleinjohann et al, 2022, bioRxiv 2022.08.02.502431).

ePosterNeuroscience

Emergence of Synfire Chains in Functional Multi-Layer Spiking Neural Networks

Jonas Oberste-Frielinghaus, Anno Kurth, Julian Göltz, Laura Kriener, Junji Ito, Mihai Petrovici, Sonja Grün

Bernstein Conference 2024

ePosterNeuroscience

Synfire chains in random weight threshold unit network

Junji Ito, Jonas Oberste-Frielinghaus, Anno Kurth, Sonja Grün

Bernstein Conference 2024

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