Reservoir Computing

Chapter 1: The cerebral cortex: A delay coupled recurrent oscillator network?.- Chapter 2: Cortico-Striatal Origins of Reservoir Computing, Mixed Selectivity and Higher Cognitive Function.- Chapter 3: Reservoirs learn to learn.- Chapter 4: Deep Reservoir Computing.- Chapter 5: On the characteristics and structures of dynamical systems suitable for reservoir computing.- Chapter 6: Reservoir Computing for Forecasting Large Spatiotemporal Dynamical Systems.- Chapter 7: Reservoir Computing in Material Substrates.- Chapter 8: Physical Reservoir Computing in Robotics.- Chapter 9: Reservoir Computing in MEMS.- Chapter 10: Neuromorphic Electronic Systems for Reservoir Computing.- Chapter 11: Reservoir Computing using Autonomous Boolean Networks Realized on Field-Programmable Gate Arrays.- Chapter 12: Programmable Fading Memory in Atomic Switch Systems for Error Checking Applications.- Chapter 13: Reservoir computing leveraging the transient non-linear dynamics of spin-torque nano-oscillators.-Chapter 14: Reservoir computing based on spintronics technology.- Chapter 15: Reservoir computing with dipole-coupled nanomagnets.- Chapter 16: Performance improvement of delay-based photonic reservoir computing.- Chapter 17: Computing with integrated photonic reservoirs.- Chapter 18: Quantum reservoir computing.- Chapter 19: Towards NMR Quantum Reservoir Computing.

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• Inteligência artificial
• Aprendizagem mecânica
• Engenharia do controlo automático
• Modelação matemática
• A física quântica (mecânica quântica e teoria quântica de campos)

Reservoir Computing;Neural Networks;Machine Learning;Soft Robotics;Signal Processing;dynamical system;spintronics