2021.9.27 Neural papers

09-22-2021	Introducing Symmetries to Black Box Meta Reinforcement Learning by Louis Kirsch et al
09-24-2021	Non-Euclidean Self-Organizing Maps by Dorota Celińska-Kopczyńska Eryk Kopczyński
09-22-2021	SCSS-Net: Solar Corona Structures Segmentation by Deep Learning by Šimon Mackovjak et al
09-22-2021	Mapping and Validating a Point Neuron Model on Intels Neuromorphic Hardware Loihi by Srijanie Dey et al
09-22-2021	Training Deep Spiking Auto-encoders without Bursting or Dying Neurons through Regularization by Justus F. Hübotter et al
09-21-2021	Comparison of Neural Network based Soft Computing Techniques for Electromagnetic Modeling of a Microstrip Patch Antenna by Yuvraj Singh Malhi et al
09-21-2021	Learning through structure: towards deep neuromorphic knowledge graph embeddings by Victor Caceres Chian et al
09-22-2021	Solving Large Steiner Tree Problems in Graphs for Cost-Efficient Fiber-To-The-Home Network Expansion by Tobias Müller et al
09-22-2021	Naming Schema for a Human Brain-Scale Neural Network by Morgan Schaefer et al
09-22-2021	Towards Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network by Zhenshan Bing et al
09-21-2021	Design and implementation of a parsimonious neuromorphic PID for onboard altitude control for MAVs using neuromorphic processors by Stein Stroobants et al
09-23-2021	How much human-like visual experience do current self-supervised learning algorithms need to achieve human-level object recognition? by A. Emin Orhan
09-21-2021	GAP2WSS: A Genetic Algorithm based on the Pareto Principle for Web Service Selection by SayedHassan Khatoonabadi et al