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Flexible integration of natural stimuli by auditory cortical neurons.

Code ↔ Paper

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The 1 match
  1. [1] § Materials and Methods › Neuron model › Stimulus encoding ↔ models.py, lines 9–20 · score 0.59 · leaky integrate, fire model, gammatone, noise, sound

Paper

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The authors' code

Python · 86 lines · 2.4 KB · no license · 1 match

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Overview

Authors: Grace Wan Yu Ang, Claudia Clopath, Andriy S. Kozlov1
ORCID iDs: Andriy S. Kozlov
  1. Department of Bioengineering, Imperial College London
Institutions: Imperial College London (United Kingdom)
Journal: Journal of neurophysiology, volume 135, issue 5, pages 1385-1397
Dates: published online 21 April 2026; in print 1 May 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1152/jn.00200.2025 · PMID 42013083 · PMCID PMC7619095 · OpenAlex W4395013169
Open access: hybrid, a free copy (OpenAlex)
Status: code verified
Categories: mouse (organism), systems (subfield)
Methods: Statistics, Spectral & time-frequency, Connectivity, Single-unit activity, calcium imaging
Keywords: Dendrites, auditory cortex, Cortical neurons, Flexible Operations, Mouse Usvs
MeSH: Auditory Cortex*, Auditory Perception*, Neurons*, Vocalization, Animal*, Acoustic Stimulation, Animals, Dendrites, Female, Male, Mice, Mice, Inbred C57BL, Models, Neurological (* major topic)
Topic: Neural dynamics and brain function (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: UKRI | Biotechnology and Biological Sciences Research Council (BB/N008731/1); Biotechnology and Biological Sciences Research Council (BB/N008731/1)
Citations: not cited yet (Europe PMC); 47 references in the paper

Abstract

Neurons have rich input-output functions for processing and combining their inputs. Although many experiments characterize these functions by directly activating synaptic inputs on dendrites in vitro, the integration of spatiotemporal inputs representing real-world stimuli is less well studied. Using ethologically relevant stimuli, we study neuronal integration in relation to Boolean AND and OR operations thought to be important for pattern recognition. We recorded single-unit responses in the mouse auditory cortex to pairs of ultrasonic mouse vocalization (USV) syllables. We observed a range of integration responses, spanning the sublinear to supralinear regimes, with many responses resembling the MAX-like function, an instantiation of the OR operation. Integration was more MAX-like for strongly activating features, and more AND-like for spectrally distinct inputs. Importantly, single neurons could implement more than one integration function, in contrast to artificial networks which typically fix activation functions across all units and inputs. To understand the mechanism underlying the flexibility and heterogeneity in neuronal integration, we modelled how dendritic properties could influence the integration of inputs with complex spectrotemporal structure. Our results link nonlinear integration in dendrites to single-neuron computations for pattern recognition.

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

Repository

Its files are read in the Code ↔ Paper reader above, with 1 match between paragraphs and lines of code.

kozlovlabcode/flex_integration

License: none: the authors keep all their rights
State: the link answers, verified on 29 September 2026
Evidence: files inventoried
Commit: 3af7c38f1c8a682454d4ad210682c122bc15d5d5, 6 February 2024
Languages: Python (5), Jupyter (1)
Size: 227 files, 6 scripts
Software Heritage: not archived
Found in: the text, “Neuron model”
Holds: README, environment (env.yml), 1 notebook
Not found: license file, CITATION.cff, tests, continuous integration, documentation
Tools: Brian 2 (4 files), NumPy (4 files), Matplotlib (2 files), pandas (2 files), SciPy (2 files), seaborn (2 files)
Availability: 1 check, the latest on 29 September 2026: the link answers
  • 29 September 2026: the link answers
7 files, not copied: shown from their source

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Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 6 scripts, each with its path and the digest of its content;
  • 1 match between paragraphs of the paper and lines of the code (method lexical-v1);
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

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

Versions

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Version 1, 29 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 5 keywords, 12 MeSH terms, 2 funders, 44 references.

Cite

This paper

Ang, G. W. Y., Clopath, C., & Kozlov, A. S. (2026). Flexible integration of natural stimuli by auditory cortical neurons. Journal of neurophysiology, 135(5), 1385-1397. https://doi.org/10.1152/jn.00200.2025

BibTeX

@article{ang2026flexible,
author = {Ang, Grace Wan Yu and Clopath, Claudia and Kozlov, Andriy S.},
title = {{Flexible integration of natural stimuli by auditory cortical neurons}},
journal = {Journal of neurophysiology},
year = {2026},
month = apr,
volume = {135},
number = {5},
pages = {1385--1397},
publisher = {American Physiological Society},
issn = {0022-3077},
doi = {10.1152/jn.00200.2025},
url = {https://doi.org/10.1152/jn.00200.2025},
pmid = {42013083},
pmcid = {PMC7619095}
}

RIS

TY - JOUR
AU - Ang, Grace Wan Yu
AU - Clopath, Claudia
AU - Kozlov, Andriy S.
TI - Flexible integration of natural stimuli by auditory cortical neurons
T2 - Journal of neurophysiology
J2 - J Neurophysiol
PY - 2026
DA - 2026/04/21
VL - 135
IS - 5
SP - 1385
EP - 1397
SN - 0022-3077
PB - American Physiological Society
DO - 10.1152/jn.00200.2025
UR - https://doi.org/10.1152/jn.00200.2025
LA - en
ER -

CSL-JSON

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