Evidence map›Paper›PMID 31522827›Full record

ReviewNeural networks : the official journal of the International Neural Network Society2019

Neural dynamics of emotion and cognition: From trajectories to underlying neural geometry.

Luiz Pessoa

Open access · greenAbstract readReview
In one paragraph

Review in Neural networks : the official journal of the International Neural Network Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 99% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 0 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Predictive processing models and affective neuroscience.Neuroscience and biobehavioral reviews · 2021
    Article
  6. Adult trkB Signaling in Parvalbumin Interneurons is Essential to Prefrontal Network Dynamics.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  7. 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

1 author at 1 institution in 1 country.

Luiz PessoaDepartment of Psychology, Department of Electrical and Computer Engineering, Maryland Neuroimaging Center, University of Maryland, College Park, USA. Electronic address: pessoa@umd.edu.
University of Maryland, College Park · US

Funding

INTERACTION OF EMOTIONAL PERCEPTION AND VISUAL ATTENTIONR01MH071589 · NIMH · UNIV OF MARYLAND, COLLEGE PARK · PI PESSOA, LUIZ · 2004 to 2024
$8.9M
Dynamics of Large-Scale Networks During Emotional and Social ProcessingR01MH112517 · NIMH · UNIV OF MARYLAND, COLLEGE PARK · PI PESSOA, LUIZ, REDCAY, ELIZABETH · 2017 to 2021
$3.3M
NIMH NIH HHS R01 MH071589NIMH NIH HHS R01 MH112517
6 · The paper itself

Abstract

How can we study, characterize, and understand the neural underpinnings of cognitive-emotional behaviors as inherently dynamic processes? In the past 50 years, Stephen Grossberg has developed a research program that embraces the themes of dynamics, decentralized computation, emergence, selection and competition, and autonomy. The present paper discusses how these principles can be heeded by experimental scientists to advance the understanding of the brain basis of behavior. It is suggested that a profitable way forward is to focus on investigating the dynamic multivariate structure of brain data. Accordingly, central research problems involve characterizing "neural trajectories" and the associated geometry of the underlying "neural space." Finally, it is argued that, at a time when the development of neurotechniques has reached a fever pitch, neuroscience needs to redirect its focus and invest comparable energy in the conceptual and theoretical dimensions of its research endeavor. Otherwise we run the risk of being able to measure "every atom" in the brain in a theoretical vacuum.

Indexed as

CognitionEmotionsNeural Networks, ComputerHumansModels, NeurologicalCognitionDynamicsEmotionManifoldTrajectories

Identifiers

PMID31522827
PMCPMC6899176
OpenAlexW2914611443

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.