Evidence map›Paper›PMID 33906817›Full record

ReviewTrends in cognitive sciences2021

Epistemic Autonomy: Self-supervised Learning in the Mammalian Hippocampus.

Diogo Santos-Pata, Adrián F Amil, Ivan Georgiev Raikov, César Rennó-Costa, Anna Mura, Ivan Soltesz, Paul F M J Verschure

Abstract readReview
In one paragraph

Review in Trends in cognitive sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Diogo Santos-PataLaboratory of Synthetic, Perceptive, Emotive and Cognitive Systems (SPECS), Institute for Bioengineering of Catalonia (IBEC), Barcelona, Spain.
Adrián F AmilLaboratory of Synthetic, Perceptive, Emotive and Cognitive Systems (SPECS), Institute for Bioengineering of Catalonia (IBEC), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain.
Ivan Georgiev RaikovDepartment of Neurosurgery, Stanford University, Stanford, CA, USA.
César Rennó-CostaDigital Metropolis Institute, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Anna MuraLaboratory of Synthetic, Perceptive, Emotive and Cognitive Systems (SPECS), Institute for Bioengineering of Catalonia (IBEC), Barcelona, Spain.
Ivan SolteszDepartment of Neurosurgery, Stanford University, Stanford, CA, USA.
Paul F M J VerschureLaboratory of Synthetic, Perceptive, Emotive and Cognitive Systems (SPECS), Institute for Bioengineering of Catalonia (IBEC), Barcelona, Spain; Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain. Electronic address: pverschure@ibecbarcelona.eu.

Funding

Towards a Complete Description of the Circuitry Underlying Sharp Wave-Mediated Memory ReplayU19NS104590 · NINDS · STANFORD UNIVERSITY · PI BUZSAKI, GYORGY, LISMAN, JOHN E · 2017 to 2021
$13.2M
NINDS NIH HHS U19 NS104590
6 · The paper itself

Abstract

Biological cognition is based on the ability to autonomously acquire knowledge, or epistemic autonomy. Such self-supervision is largely absent in artificial neural networks (ANN) because they depend on externally set learning criteria. Yet training ANN using error backpropagation has created the current revolution in artificial intelligence, raising the question of whether the epistemic autonomy displayed in biological cognition can be achieved with error backpropagation-based learning. We present evidence suggesting that the entorhinal-hippocampal complex combines epistemic autonomy with error backpropagation. Specifically, we propose that the hippocampus minimizes the error between its input and output signals through a modulatory counter-current inhibitory network. We further discuss the computational emulation of this principle and analyze it in the context of autonomous cognitive systems.

Indexed as

Artificial IntelligenceNeural Networks, ComputerAlgorithmsHippocampusHumansSupervised Machine Learningerror backpropagationhippocampusself-supervised learning

Identifiers

PMID33906817
PMCPMC10631471

What OpenQuestion holds

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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.