Computational frameworks, learning, and applications of spiking-based models of computation: a narrative review

Keyphrases

• Computational Framework 100%
• Models of Computation 100%
• Learning Mechanisms 100%
• Computational Applications 100%
• Narrative Review 100%
• Computational Learning 100%
• Spiking Neural Networks 66%
• Energy Efficient 33%
• Learning Strategies 33%
• Recent Applications 33%
• Real-world Application 33%
• Integrated Learning 33%
• Computational Model 33%
• Simulation Framework 33%
• Backpropagation 33%
• Working Principle 33%
• Common Learning 33%
• Learning Methods 33%
• Spike-based 33%
• Supervised Reinforcement Learning 33%
• Supervised/unsupervised Learning 33%
• Spiking Neural P Systems 33%
• Temporal Processing 33%
• Energy-efficient Computation 33%
• Biological Behavior 33%
• Neural Spike 33%
• SN P Systems 33%

Computer Science

• Learning Framework 100%
• Application Framework 100%
• Learning Mechanism 100%
• Model of Computation 100%
• Energy Efficient 66%
• Neural Network 66%
• World Application 33%
• Future Direction 33%
• Reinforcement Learning 33%
• Supervised Learning 33%
• Unsupervised Learning 33%
• Computational Modeling 33%
• Information Processing 33%
• Artificial Neural Network 33%
• Temporal Information 33%
• Efficient Computation 33%