Articles

Critical dynamics in associative memory networks

• Maximilian Uhlig
• Anna Levina
• Theo Geisel
• Michael Herrmann

Hebbian crosstalk prevents nonlinear unsupervised learning

• Kingsley J A Cox
• Paul Adams

Low-voltage-driven memristor framework for efficient neuromorphic computation with STDP functionality

in Nanoelectronics

• Aarti Dahiya
• Shalu Rani
• Sanjay Kumar
• Themis Prodromakis

Mapping Hebbian Learning Rules to Coupling Resistances for Oscillatory Neural Networks

in Neuromorphic Engineering

• Corentin Delacour
• Aida Todri-Sanial

A Model of Motion Processing in the Visual Cortex Using Neural Field With Asymmetric Hebbian Learning

in Perception Science

• Anila Gundavarapu
• V. Srinivasa Chakravarthy
• Karthik Soman

Information bottleneck-based Hebbian learning rule naturally ties working memory and synaptic updates

• Kyle Daruwalla
• Mikko Lipasti

A Model of Fast Hebbian Spike Latency Normalization

• Hafsteinn Einarsson
• Marcelo M. Gauy
• Johannes Lengler
• Angelika Steger

Implementation of input correlation learning with an optoelectronic dendritic unit

in Optics and Photonics

• Silvia Ortín
• Miguel C. Soriano
• Christian Tetzlaff
• Florentin Wörgötter
• Ingo Fischer
• Claudio R. Mirasso
• Apostolos Argyris

Nonlinear Dendritic Coincidence Detection for Supervised Learning

• Fabian Schubert
• Claudius Gros

Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array

in Neuromorphic Engineering

• Sukru B. Eryilmaz
• Duygu Kuzum
• Rakesh Jeyasingh
• SangBum Kim
• Matthew BrightSky
• Chung Lam
• H.-S. Philip Wong

A Hebbian learning rule gives rise to mirror neurons and links them to control theoretic inverse models

• Alexander Hanuschkin
• Surya Ganguli
• Richard Hahnloser

R-STDP Spiking Neural Network Architecture for Motion Control on a Changing Friction Joint Robotic Arm

• Alejandro Juarez-Lora
• Victor H. Ponce-Ponce
• Humberto Sossa
• Elsa Rubio-Espino

A Neurocomputational Approach to Trained and Transitive Relations in Equivalence Classes

in Cognitive Science

• Ángel E. Tovar
• Gert Westermann

Cooperation-Induced Topological Complexity: A Promising Road to Fault Tolerance and Hebbian Learning

in Fractal Physiology

• Malgorzata Turalska
• Elvis Geneston
• Bruce J West
• Paolo Allegrini
• Paolo Grigolini

Deep Gated Hebbian Predictive Coding Accounts for Emergence of Complex Neural Response Properties Along the Visual Cortical Hierarchy

• Shirin Dora
• Sander M. Bohte
• Cyriel M. A. Pennartz

Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules

• Nicolas Frémaux
• Wulfram Gerstner