Evidence map›Paper›PMID 35793679›Full record

ArticleCurrent biology : CB2022

Neural network organization for courtship-song feature detection in Drosophila.

Christa A Baker, Claire McKellar, Rich Pang, Aljoscha Nern, Sven Dorkenwald, Diego A Pacheco, Nils Eckstein, Jan Funke, Barry J Dickson, Mala Murthy

Open access · bronzeAbstract read
In one paragraph

Article in Current biology : CB, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
5.5field-weighted citation impact, top 3% of its field
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

36 citing papers in PubMed, 61 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Christa A BakerPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Claire McKellarPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA; Janelia Research Campus, HHMI, Ashburn, VA, USA.
Rich PangPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Aljoscha NernJanelia Research Campus, HHMI, Ashburn, VA, USA.
Sven DorkenwaldPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA; Computer Science, Princeton University, Princeton, NJ, USA.
Diego A PachecoPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Nils EcksteinJanelia Research Campus, HHMI, Ashburn, VA, USA; Institute of Neuroinformatics UZH/ETHZ, Zurich, Switzerland.
Jan FunkeJanelia Research Campus, HHMI, Ashburn, VA, USA.
Barry J DicksonJanelia Research Campus, HHMI, Ashburn, VA, USA.
Mala MurthyPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USA. Electronic address: mmurthy@princeton.edu.
Princeton University · USJanelia Research Campus · US

Funding

Uncovering the Neural Mechanisms that Flexibly Link Sensory Processing to BehaviorR35NS111580 · NINDS · PRINCETON UNIVERSITY · PI Mala Murthy · 2019 to 2026
$5.0M
Crowdsourcing the Fly ConnectomeRF1MH117815 · NIMH · PRINCETON UNIVERSITY · PI MURTHY, MALA, SEUNG, HYUNJUNE SEBASTIAN · 2018 to 2018
$3.3M
How does the brain solve the pattern recognition problem?DP2NS092378 · NINDS · PRINCETON UNIVERSITY · PI MURTHY, MALA · 2014 to 2014
$2.4M
Dissecting Sensorimotor Pathways Underlying Social Interactions: Models, Circuits, and BehaviorR01NS104899 · NINDS · PRINCETON UNIVERSITY · PI BIALEK, WILLIAM, MURTHY, MALA · 2018 to 2022
$2.4M
Howard Hughes Medical InstituteNIMH NIH HHS RF1 MH117815NINDS NIH HHS DP2 NS092378NINDS NIH HHS R01 NS104899NINDS NIH HHS R35 NS111580
6 · The paper itself

Abstract

Animals communicate using sounds in a wide range of contexts, and auditory systems must encode behaviorally relevant acoustic features to drive appropriate reactions. How feature detection emerges along auditory pathways has been difficult to solve due to challenges in mapping the underlying circuits and characterizing responses to behaviorally relevant features. Here, we study auditory activity in the Drosophila melanogaster brain and investigate feature selectivity for the two main modes of fly courtship song, sinusoids and pulse trains. We identify 24 new cell types of the intermediate layers of the auditory pathway, and using a new connectomic resource, FlyWire, we map all synaptic connections between these cell types, in addition to connections to known early and higher-order auditory neurons-this represents the first circuit-level map of the auditory pathway. We additionally determine the sign (excitatory or inhibitory) of most synapses in this auditory connectome. We find that auditory neurons display a continuum of preferences for courtship song modes and that neurons with different song-mode preferences and response timescales are highly interconnected in a network that lacks hierarchical structure. Nonetheless, we find that the response properties of individual cell types within the connectome are predictable from their inputs. Our study thus provides new insights into the organization of auditory coding within the Drosophila brain.

Indexed as

CourtshipDrosophilaAnimalsAuditory PerceptionDrosophila melanogasterNeural Networks, ComputerSexual Behavior, AnimalVocalization, Animalacoustic communicationauditorycalcium imagingconnectomicsneural networksensory responses

Identifiers

PMID35793679
PMCPMC9378594
OpenAlexW4284663210

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.