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Flexible integration of natural stimuli by auditory cortical neurons
File(s)
Author(s)
Ang, Grace Wan Yu
Clopath, Claudia
Kozlov, Andriy S
Type
Journal Article
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.
Date Issued
2026-05-01
Date Acceptance
2026-03-24
Citation
Journal of Neurophysiology, 2026, 135 (5), pp.1385-1397
URI
URL
DOI
ISSN
0022-3077
Publisher
American Physiological Society
Start Page
1385
End Page
1397
Journal / Book Title
Journal of Neurophysiology
Volume
135
Issue
5
Copyright Statement
© 2026 The Authors. Licensed under Creative Commons Attribution CC-BY-NC 4.0. Published by the American Physiological Society.
License URL
Publication Status
Published
Article Number
jn.00200.2025
Date Publish Online
2026-05-12