Connectionists: NEURAL NETWORKS, Dec. 2019

[DeLiang Wang]

Neural Networks - Volume 120, December 2019
http://www.journals.elsevier.com/neural-networks


SPECIAL ISSUE in Honor of the 80th Birthday of Stephen Grossberg

Guest Editorial: Admiring the Great Mountain
Donald C. Wunsch

Looking to the future: Learning from experience, averting catastrophe
Gail A. Carpenter

Noise-boosted bidirectional backpropagation and adversarial learning
Olaoluwa Adigun, Bart Kosko

Adaptive Resonance Theory in the time scales calculus
John Seiffertt

Episodic memory: A hierarchy of spatiotemporal concepts
Michael J. Healy, Thomas P. Caudell

Self-organizing neural networks for universal learning and multimodal 
memory encoding
Ah-Hwee Tan, Budhitama Subagdja, Di Wang, Lei Meng

One or two minds? Neural network modeling of decision making by the 
unified self
Daniel S. Levine

Moving in time: Simulating how neural circuits enable rhythmic enactment 
of planned sequences
Omar Zeid, Daniel Bullock

Improved robustness of reinforcement learning policies upon conversion 
to spiking neuronal network platforms applied to Atari Breakout game
Devdhar Patel, Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, 
Robert Kozma

The quantization error in a Self-Organizing Map as a contrast and colour 
specific indicator of single-pixel change in large random patterns
John M. Wandeto, Birgitta Dresp-Langley

Uncertainty-based modulation for lifelong learning
Andrew P. Brna, Ryan C. Brown, Patrick M. Connolly, Stephen B. Simons, 
... Mario Aguilar-Simon

Salience-aware adaptive resonance theory for large-scale sparse data 
clustering
Lei Meng, Ah-Hwee Tan, Chunyan Miao

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

A survey of adaptive resonance theory neural network models for 
engineering applications
Leonardo Enzo Brito da Silva, Islam Elnabarawy, Donald C. Wunsch