Evidence map›Paper›PMID 37645978›Full record

ArticlebioRxiv : the preprint server for biology2024

Simple synaptic modulations implement diverse novelty computations.

Kyle Aitken, Luke Campagnola, Marina Garrett, Shawn Olsen, Stefan Mihalas

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Kyle AitkenCenter for Data-Driven Discovery for Biology, Allen Institute, Seattle, WA 98109, USA.ORCID 0000-0003-0207-5885
Luke CampagnolaAllen Institute for Brain Science, Seattle, WA 98109, USA.
Marina GarrettAllen Institute for Neural Dynamics, Seattle, WA 98109, USA.
Shawn OlsenAllen Institute for Neural Dynamics, Seattle, WA 98109, USA.
Stefan MihalasCenter for Data-Driven Discovery for Biology, Allen Institute, Seattle, WA 98109, USA.

Funding

Modeling the structure-function relation in a reconstructed cortical tissueR01EB029813 · NIBIB · ALLEN INSTITUTE · PI ARKHIPOV, ANTON, MIHALAS, STEFAN · 2020 to 2020
$1.3M
From diverse dynamics to diverse computation via neural cell typesRF1DA055669 · NIDA · ALLEN INSTITUTE · PI MIHALAS, STEFAN, SHEA-BROWN, ERIC TODD · 2021 to 2021
$1.1M
NIBIB NIH HHS R01 EB029813NIDA NIH HHS RF1 DA055669
6 · The paper itself

Abstract

Since environments are constantly in flux, the brain's ability to identify novel stimuli that fall outside its own internal representation of the world is crucial for an organism's survival. Within the mammalian neocortex, inhibitory microcircuits are proposed to regulate activity in an experience-dependent manner and different inhibitory neuron subtypes exhibit distinct novelty responses. Discerning the function of diverse neural circuits and their modulation by experience can be daunting unless one has a biologically plausible mechanism to detect and learn from novel experiences that is both understandable and flexible. Here we introduce a learning mechanism,

Identifiers

PMID37645978
PMCPMC10462093

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.