Energy-Efficient Devices and Circuits for Neuromorphic Computing

1. Biological neural systems NEW<br>2. Fundamentals of neuron dynamics and Neural Networks NEW<br>3. Foundations, recent developments and applications of spiking neural networks (SNNs)<br>4. Training and learning processes of SNNs<br>5. Introduction to Neuromorphic Computing<br>6. The Need for Energy Efficiency in Neuromorphic Computing v Review of Neuromorphic devices and Circuits<br>7. Energy-efficient devices for Neuromorphic computing<br>8. Novel biomimetic devices for energy efficient synapses and neurons OLD<br>9. Analog and Digital CMOS circuits for Energy Efficient Neuromorphic Computing<br>10. Energy-efficient Neuromorphic computing systems with emerging post-CMOS devices<br>11. Energy Efficient Neuromorphic Computing Architectures and Processing<br>12. Nonvolatile memory crossbar arrays for energy efficient neuromorphic computing<br>13. Energy Efficient Neuromorphic Vision Systems<br>14. Neuromorphic sensors and in-sensor computing<br>15. Practical Applications of Energy-Efficient Neuromorphic Computing<br>16. Current and future challenges of Neuromorphic Computing