Evidence map›Paper›PMID 41702398›Full record

ArticleNeuron2026

Feature-tuned synaptic inputs to somatostatin interneurons drive context-dependent processing.

William D Hendricks, Masato Sadahiro, Dan Mossing, Julia Veit, Hillel Adesnik

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuron, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

William D HendricksDepartment of Neuroscience, University of California, Berkeley, Berkeley, CA, USA.
Masato SadahiroDepartment of Neuroscience, University of California, Berkeley, Berkeley, CA, USA.
Dan MossingDepartment of Neuroscience, University of California, Berkeley, Berkeley, CA, USA; Biophysics Graduate Group, University of California, Berkeley, Berkeley, CA, USA.
Julia VeitDepartment of Physiology, University of Freiburg, Freiburg, Germany.
Hillel AdesnikDepartment of Neuroscience, University of California, Berkeley, Berkeley, CA, USA; The Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA. Electronic address: hadesnik@berkeley.edu.

Funding

Validating Theoretical Models with Neurophysiology and OptogeneticsU19NS107613 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PANINSKI, LIAM M · 2018 to 2022
$16.7M
Excitation and Inhibition in Neural Circuits of the Visual CortexR01EY023756 · NEI · UNIVERSITY OF CALIFORNIA BERKELEY · PI Hillel Adesnik · 2013 to 2026
$6.1M
High-throughput Physiological Micro-connectivity Mapping in VivoRF1MH120680 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI ADESNIK, HILLEL · 2019 to 2021
$2.2M
Cell-Type-Specific Mechanisms of Contextual Modulation in the Visual CortexF32EY034022 · NEI · UNIVERSITY OF CALIFORNIA BERKELEY · PI SADAHIRO, MASATO · 2022 to 2024
$218k
Role of cortical interneurons in visual perceptionF32EY031977 · NEI · UNIVERSITY OF CALIFORNIA BERKELEY · PI HENDRICKS, WILLIAM DAVID · 2020 to 2022
$201k
NEI NIH HHS F32 EY031977NEI NIH HHS F32 EY034022NEI NIH HHS R01 EY023756NIMH NIH HHS RF1 MH120680NINDS NIH HHS U19 NS107613
6 · The paper itself

Abstract

Mapping neural computation onto the functional microarchitecture of sensory circuits is essential for understanding how brain circuits transform input signals into coherent percepts. Many higher-order perceptual processes emerge in the cortex, yet relatively little is known about how specific connectivity motifs give rise to these computations. To address this challenge, we combined single-cell and population-level physiological recordings and perturbation methods to map a context-dependent cortical computation onto the synaptic microarchitecture of the mouse primary visual cortex (V1). We demonstrate a precise pattern of synaptic connectivity from cortical pyramidal cells (PCs) to somatostatin (SST) inhibitory interneurons that mediates context-driven figure/ground modulation in V1. Through a like-to-like connectivity rule from PCs to SSTs, this circuit explains SSTs' visual encoding properties and their resulting impact on contextual modulation in V1. These findings reveal key synaptic and circuit mechanisms that may underlie the earliest stages of scene segmentation in the visual cortex.

Indexed as

InterneuronsPrimary Visual CortexPyramidal CellsSomatostatinSynapsesVisual CortexAnimalsMiceNeural InhibitionSomatostatincalcium imagingcircuitcontextual modulationelectrophysiologyexcitationinhibitioninterneuronsoptogeneticssomatostatinvisual cortex

Identifiers

PMID41702398
PMCPMC12919646

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Registered trials

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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.