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Fluctuation-response relations for a two-stage population of spiking neurons stimulated by common noise.

Overview

Authors: Leander Dittrich1, Benjamin Lindner1,2
  1. Physics Department, Humboldt University Berlin, Newtonstr. 15, 12489 Berlin, Germany
  2. Bernstein Center for Computational Neuroscience, Berlin, Philippstr. 13, Haus 6, 10115 Berlin, Germany
Journal: Biological cybernetics, volume 120, issue 3-4, article 14
Dates: received 22 December 2025; accepted 10 April 2026; published online 28 April 2026; in print 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1007/s00422-026-01043-7 · PMID 42047838 · PMCID PMC13124920 · OpenAlex W7157755050
Open access: hybrid, a free copy (OpenAlex)
Status: code on request
Categories: computational modeling (no new data) (modality), none (in silico) (organism), computational (subfield)
Methods: Single-unit activity, calcium imaging
Keywords: Stochastic spiking, Integrate-and-fire model, Fluctuation-dissipation theorem, Common noise, Neuronal signal transmission
MeSH: Action Potentials*, Models, Neurological*, Neurons*, Animals, Stochastic Processes (* major topic)
Topic: Neural dynamics and brain function (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: Humboldt-Universität zu Berlin
Citations: not cited yet (Europe PMC); 58 references in the paper

Abstract

Recently a method has been put forward to connect the measures of spontaneous neuronal activity and the measures of the average single-neuron response to stimuli via fluctuation-response relations (FRRs) for some integrate-and-fire (IF) type neuron models. In this work we expand this method to populations of neurons, relating their spontaneous correlation and linear-response statistics. To this end, we analyze the simple case of uncoupled cells modeled by IF neurons (first stage of processing) which receive common stochastic input and project their output spike trains onto a readout neuron (second stage of processing). We derive and verify FRRs connecting the single neuron response to cross-correlations among neurons and the response of the full system to cross-stage correlations. Furthermore, we utilize these FRRs to derive approximations of all cross-stage cross-spectra for a relevant model of a second-stage cell, the partial synchronous output (PSO). We conclude with a discussion of how our results can be expanded to more involved network settings and neuron models.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.

The paper's code and data availability statement is in the Data section.

Tracing map

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Data

No dataset and no data link were found in the paper.

Data Availability

All data was generated by simulations and is displayed in the figures. The code will be provided upon request.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

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Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 2 authors, 5 keywords, 5 MeSH terms, 1 funder, 26 references.

Cite

This paper

Dittrich, L., & Lindner, B. (2026). Fluctuation-response relations for a two-stage population of spiking neurons stimulated by common noise. Biological cybernetics, 120(3-4), 14. https://doi.org/10.1007/s00422-026-01043-7

BibTeX

@article{dittrich2026fluctuation,
author = {Dittrich, Leander and Lindner, Benjamin},
title = {{Fluctuation-response relations for a two-stage population of spiking neurons stimulated by common noise}},
journal = {Biological cybernetics},
year = {2026},
month = apr,
volume = {120},
number = {3-4},
pages = {14},
publisher = {Springer Science+Business Media},
issn = {0340-1200},
doi = {10.1007/s00422-026-01043-7},
url = {https://doi.org/10.1007/s00422-026-01043-7},
pmid = {42047838},
pmcid = {PMC13124920}
}

RIS

TY - JOUR
AU - Dittrich, Leander
AU - Lindner, Benjamin
TI - Fluctuation-response relations for a two-stage population of spiking neurons stimulated by common noise
T2 - Biological cybernetics
J2 - Biol Cybern
PY - 2026
DA - 2026/04/28
VL - 120
IS - 3-4
SP - 14
SN - 0340-1200
PB - Springer Science+Business Media
DO - 10.1007/s00422-026-01043-7
UR - https://doi.org/10.1007/s00422-026-01043-7
LA - en
ER -

CSL-JSON

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