Connectionists: NN Special Issue on Autonomous Learning

[DeLiang Wang]

Neural Networks - Volume 41, May 2013
http://www.journals.elsevier.com/neural-networks


Editorial — Special Issue on Autonomous Learning
Asim Roy, Bruno Apolloni, Leonid Perlovsky, Ali Minai

Cognitive memory
Bernard Widrow, Juan Carlos Aragon

Mirror neurons, language, and embodied cognition
Leonid I. Perlovsky, Roman Ilin

Controlling working memory with learned instructions
J.C. Sylvester, J.A. Reggia, S.A. Weems, M.F. Bunting

Efficient online bootstrapping of sensory representations
Alexander Gepperth

Autonomous learning derived from experimental modeling of physical laws
Igor Grabec

Real-time model learning using Incremental Sparse Spectrum Gaussian 
Process Regression
Arjan Gijsberts, Giorgio Metta

Detecting and preventing error propagation via competitive learning
Thiago Christiano Silva, Liang Zhao

Growing self-organizing trees for autonomous hierarchical clustering
Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah

Self-organizing adaptive map: Autonomous learning of curves and surfaces 
from point samples
Marco Piastra

Methods for pattern selection, class-specific feature selection and 
classification for automated learning
Asim Roy, Patrick D. Mackin, Somnath Mukhopadhyay

First experiments with POWERPLAY
Rupesh Kumar Srivastava, Bas R. Steunebrink, Jürgen Schmidhuber

Learning invariant face recognition from examples
Marco K. Müller, Michael Tremer, Christian Bodenstein, Rolf P. Würtz

Autonomous learning in humanoid robotics through mental imagery
Alessandro G. Di Nuovo, Davide Marocco, Santo Di Nuovo, Angelo Cangelosi

Autonomous reinforcement learning with experience replay
Pawel Wawrzynski, Ajay Kumar Tanwani

Intrinsically motivated action–outcome learning and goal-based action 
recall: A system-level bio-constrained computational model
Gianluca Baldassarre, Francesco Mannella, Vincenzo G. Fiore, Peter 
Redgrave, Kevin Gurney, Marco Mirolli

Dynamic evolving spiking neural networks for on-line spatio- and 
spectro-temporal pattern recognition
Nikola Kasabov, Kshitij Dhoble, Nuttapod Nuntalid, Giacomo Indiveri

Modeling the insect mushroom bodies: Application to a delayed 
match-to-sample task
Paolo Arena, Luca Patané, Vincenzo Stornanti, Pietro Savio Termini, 
Bianca Zäpf, Roland Strauss

A spiking neuron model of the cortico-basal ganglia circuits for 
goal-directed and habitual action learning
Fabian Chersi, Marco Mirolli, Giovanni Pezzulo, Gianluca Baldassarre

Modulation for emergent networks: Serotonin and dopamine
Juyang Weng, Stephen Paslaski, James Daly, Courtland VanDam, Jacob Brown