Reviews (relevant to all videos)¶
Schuman et al. (2017) “A Survey of Neuromorphic Computing and Neural Networks in Hardware”
Indiveri and Liu (2015) “Memory and information processing in neuromorphic systems”
Christensen et al. (2022) “2022 roadmap on neuromorphic computing and engineering”
Introduction¶
Computing¶
Sensing¶
- Christensen, D. V., Dittmann, R., Linares-Barranco, B., Sebastian, A., Le Gallo, M., Redaelli, A., Slesazeck, S., Mikolajick, T., Spiga, S., Menzel, S., Valov, I., Milano, G., Ricciardi, C., Liang, S.-J., Miao, F., Lanza, M., Quill, T. J., Keene, S. T., Salleo, A., … Pryds, N. (2022). 2022 roadmap on neuromorphic computing and engineering. Neuromorphic Computing and Engineering, 2(2), 022501. 10.1088/2634-4386/ac4a83
- Bartolozzi, C., & Indiveri, G. (2007). Synaptic Dynamics in Analog VLSI. Neural Computation, 19(10), 2581–2603. 10.1162/neco.2007.19.10.2581
- Vanarse, A., Osseiran, A., & Rassau, A. (2016). A Review of Current Neuromorphic Approaches for Vision, Auditory, and Olfactory Sensors. Frontiers in Neuroscience, 10. 10.3389/fnins.2016.00115
- Schuman, C., Patton, R., Kulkarni, S., Parsa, M., Stahl, C., Haas, N. Q., Mitchell, J. P., Snyder, S., Nagle, A., Shanafield, A., & Potok, T. (2022). Evolutionary vs imitation learning for neuromorphic control at the edge*. Neuromorphic Computing and Engineering, 2(1), 014002. 10.1088/2634-4386/ac45e7