Evidence map›Paper›PMID 31670073›Full record

ReviewCurrent opinion in neurobiology2019

Harnessing behavioral diversity to understand neural computations for cognition.

Simon Musall, Anne E Urai, David Sussillo, Anne K Churchland

Abstract readReview
In one paragraph

Review in Current opinion in neurobiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  17. Neural Encoding of Active Multi-Sensing Enhances Perceptual Decision-Making via a Synergistic Cross-Modal Interaction.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  18. Looking for the neural basis of memory.Trends in cognitive sciences · 2022
    Review
  19. Review
  20. Review
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

4 authors.

Simon MusallCold Spring Harbor Laboratory, Neuroscience, Cold Spring Harbor, NY, USA.
Anne E UraiCold Spring Harbor Laboratory, Neuroscience, Cold Spring Harbor, NY, USA.
David SussilloGoogle AI, Google, Inc., Mountain View, CA, USA; Department of Electrical Engineering, Stanford University, Stanford, CA, USA; Stanford Neurosciences Institute, Stanford University, Stanford, CA, USA.
Anne K ChurchlandCold Spring Harbor Laboratory, Neuroscience, Cold Spring Harbor, NY, USA. Electronic address: churchland@cshl.edu.

Funding

The role of parietal cortex in multisensory decision-makingR01EY022979 · NEI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANNE KATHRYN CHURCHLAND · 2013 to 2026
$5.7M
NEI NIH HHS R01 EY022979
6 · The paper itself

Abstract

With the increasing acquisition of large-scale neural recordings comes the challenge of inferring the computations they perform and understanding how these give rise to behavior. Here, we review emerging conceptual and technological advances that begin to address this challenge, garnering insights from both biological and artificial neural networks. We argue that neural data should be recorded during rich behavioral tasks, to model cognitive processes and estimate latent behavioral variables. Careful quantification of animal movements can also provide a more complete picture of how movements shape neural dynamics and reflect changes in brain state, such as arousal or stress. Artificial neural networks (ANNs) could serve as artificial model organisms to connect neural dynamics and rich behavioral data. ANNs have already begun to reveal how a wide range of different behaviors can be implemented, generating hypotheses about how observed neural activity might drive behavior and explaining diversity in behavioral strategies.

Indexed as

CognitionNeural Networks, ComputerAnimalsBrainMovement

Identifiers

PMID31670073
PMCPMC6931281

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.