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ORCIDNeural Networks, Volume 120
Volume 120, December 2019
- Gail A. Carpenter:
Looking to the future: Learning from experience, averting catastrophe. 5-8 - Olaoluwa Adigun
, Bart Kosko:
Noise-boosted bidirectional backpropagation and adversarial learning. 9-31 - John Seiffertt:
Adaptive Resonance Theory in the time scales calculus. 32-39 - Michael J. Healy, Thomas P. Caudell:
Episodic memory: A hierarchy of spatiotemporal concepts. 40-57 - Ah-Hwee Tan, Budhitama Subagdja, Di Wang, Lei Meng:
Self-organizing neural networks for universal learning and multimodal memory encoding. 58-73 - Daniel S. Levine:
One or two minds? Neural network modeling of decision making by the unified self. 74-85 - Omar Zeid, Daniel Bullock:
Moving in time: Simulating how neural circuits enable rhythmic enactment of planned sequences. 86-107 - Devdhar Patel, Hananel Hazan, Daniel J. Saunders, Hava T. Siegelmann, Robert Kozma:
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game. 108-115 - John Mwangi Wandeto, Birgitta Dresp-Langley:
The quantization error in a Self-Organizing Map as a contrast and colour specific indicator of single-pixel change in large random patterns. 116-128 - Andrew P. Brna, Ryan C. Brown, Patrick M. Connolly, Stephen B. Simons, Renee E. Shimizu, Mario Aguilar-Simon:
Uncertainty-based modulation for lifelong learning. 129-142 - Lei Meng, Ah-Hwee Tan, Chunyan Miao:
Salience-aware adaptive resonance theory for large-scale sparse data clustering. 143-157 - Luiz Pessoa:
Neural dynamics of emotion and cognition: From trajectories to underlying neural geometry. 158-166 - Leonardo Enzo Brito da Silva, Islam Elnabarawy, Donald C. Wunsch II:
A survey of adaptive resonance theory neural network models for engineering applications. 167-203
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