Hebbian Theory

Hebbian theory is a neuroscientific theory claiming that an increase in synaptic efficacy arises from a presynaptic cell's repeated and persistent stimulation of a postsynaptic cell. Find the latest research on Hebbian theory here.

March 17, 2020
Preprint

Learning of signaling networks: molecular mechanisms

ArXiv
Péter CsermelyPéter Tompa
February 7, 2020
Preprint
Open Access

Deep predictive coding accounts for emergence of complex neural response properties along the visual cortical hierarchy

BioRxiv : the Preprint Server for Biology
Shirin DoraCyriel MA Pennartz
January 23, 2020
Open Access

Competitive Learning in a Spiking Neural Network: Towards an Intelligent Pattern Classifier

Sensors
Sergey A LobovVictor B Kazantsev
December 22, 2019

Contingent adaptation in masking and surround suppression

Vision Research
Hörmet YiltizMichael S Landy
August 6, 2019

Contrastive Hebbian Feedforward Learning for Neural Networks

IEEE Transactions on Neural Networks and Learning Systems
Noureddine Kermiche
June 21, 2020
Review

The role of Hebbian learning in human perception: a methodological and theoretical review of the human Visual Long-Term Potentiation paradigm

Neuroscience and Biobehavioral Reviews
Rachael L SumnerIan J Kirk
July 24, 2019
Preprint

A computational model for grid maps in neural populations

ArXiv
Fabio AnselmiBenedetta Franceschiello
November 29, 2019

Fuzzy cognitive map based approach for determining the risk of ischemic stroke

IET Systems Biology
Mahsa KhodadadiAmir Hooshang Mazinan
January 14, 2020

Delta phase reset predicts conflict-related changes in P3 amplitude and behavior

Brain Research
Eric RawlsConnie Lamm
July 23, 2019
Preprint

A Concept-Value Network as a Brain Model

ArXiv
Kieran Greer
April 8, 2020
Review
Open Access

Donald O. Hebb and the Organization of Behavior: 17 years in the writing

Molecular Brain
Richard E Brown
January 22, 2020
Open Access

Learning spatiotemporal signals using a recurrent spiking network that discretizes time

PLoS Computational Biology
Amadeus MaesClaudia Clopath
February 5, 2020
Review
Open Access

Learning of Signaling Networks: Molecular Mechanisms

Trends in Biochemical Sciences
Péter CsermelyPéter Tompa
July 10, 2019
Open Access

A computational implementation of a Hebbian learning network and its application to configural forms of acquired equivalence

Journal of Experimental Psychology. Animal Learning and Cognition
Jasper RobinsonDietmar Heinke
April 3, 2020
Open Access

Cognitive swarming in complex environments with attractor dynamics and oscillatory computing

Biological cybernetics
Joseph D. MonacoKechen Zhang
June 15, 2020
Preprint

Resonances induced by Spiking Time Dependent Plasticity

ArXiv
Pau Vilimelis Aceituno
November 16, 2019
Review
Open Access

Mysterious Mechanisms of Memory Formation: Are the Answers Hidden in Synapses?

Curēus
Viraj V JoshiAnnapurna Kuppa

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