Neuromorphic Photonic Devices and Applications synthesizes the most critical advances in photonic neuromorphic models, photonic material platforms and accelerators for neuromorphic computing. The book discusses fields and applications that can leverage these new platforms. A brief review of the historical development of the field is followed by a discussion of the emerging 2D photonic materials platforms and recent work in implementing neuromorphic models and 3D neuromorphic systems. The application of artificial intelligence (AI), such as neuromorphic models to inverse design neuromorphic materials and devices and predict performance challenges is discussed throughout.
Finally, a comprehensive overview of the applications of neuromorphic photonic technologies and the challenges, opportunities and future prospects is discussed, making the book suitable for researchers and practitioners in academia and R&D in the multidisciplinary field of photonics.
1. Section 1: Introduction - p. xvi 2. 1. A brief introduction to the brain - p. 3 3. 2. Neuromorphic computing - p. 27 4. 3. Advanced neuromorphic models - p. 47 5. Section 2: Neuromorphic photonics - p. 63 6. 4. Neuromorphic photonics: development of the field - p. 69 7. 5. Optoelectronic synapses for two-dimensional neuromorphic photonics - p. 111 8. 6. 2D neuromorphic photonics - p. 141 9. 7. 3D neuromorphic photonics - p. 167 10. 8. Large-scale neuromorphic systems enabled by integrated photonics - p. 191 11. 9. Neuromorphic models applied to photonics - p. 221 12. Section 3: Applications - p. 247 13. 10. Photonic matrix computing accelerators - p. 257 14. 11. Deep optics - p. 295 15. 12. Photonic neuromorphic processing for optical communications - p. 319 16. Section 4: Perspective - p. 345 17. 13. Perspective on photonic neuromorphic computing - p. 353 18. Index - p. 377
Neuromorphic Photonic Devices and Applications synthesizes the most critical advances in photonic neuromorphic models, photonic material platforms and accelerators for neuromorphic computing. The book discusses fields and applications that can leverage these new platforms. A brief review of the historical development of the field is followed by a discussion of the emerging 2D photonic materials platforms and recent work in implementing neuromorphic models and 3D neuromorphic systems. The application of artificial intelligence (AI), such as neuromorphic models to inverse design neuromorphic materials and devices and predict performance challenges is discussed throughout.
Finally, a comprehensive overview of the applications of neuromorphic photonic technologies and the challenges, opportunities and future prospects is discussed, making the book suitable for researchers and practitioners in academia and R&D in the multidisciplinary field of photonics.
1. Section 1: Introduction - p. xvi 2. 1. A brief introduction to the brain - p. 3 3. 2. Neuromorphic computing - p. 27 4. 3. Advanced neuromorphic models - p. 47 5. Section 2: Neuromorphic photonics - p. 63 6. 4. Neuromorphic photonics: development of the field - p. 69 7. 5. Optoelectronic synapses for two-dimensional neuromorphic photonics - p. 111 8. 6. 2D neuromorphic photonics - p. 141 9. 7. 3D neuromorphic photonics - p. 167 10. 8. Large-scale neuromorphic systems enabled by integrated photonics - p. 191 11. 9. Neuromorphic models applied to photonics - p. 221 12. Section 3: Applications - p. 247 13. 10. Photonic matrix computing accelerators - p. 257 14. 11. Deep optics - p. 295 15. 12. Photonic neuromorphic processing for optical communications - p. 319 16. Section 4: Perspective - p. 345 17. 13. Perspective on photonic neuromorphic computing - p. 353 18. Index - p. 377
