Dive Deeper into Neuromorphic Computing
The field of neuromorphic computing is rapidly evolving, with new research and developments emerging constantly. To continue your exploration, here are some valuable resources including academic papers, research institutions, leading companies, online courses, and communities.
Seminal Academic Papers & Reviews
- Mead, C. (1990). Neuromorphic electronic systems. Proceedings of the IEEE, 78(10), 1629-1636. (A foundational paper by Carver Mead).
- Schuman, C. D., Potok, T. E., Patton, R. M., Birdwell, J. D., Dean, M. E., Rose, G. S., & Plank, J. S. (2017). A survey of neuromorphic computing and neural networks in hardware. arXiv preprint arXiv:1705.06963.
- Davies, M. et al. (2018). Loihi: A Neuromorphic Manycore Processor with On-Chip Learning. IEEE Micro, 38(1), 82-99.
Leading Research Institutions & Labs
- Institute of Neuroinformatics (INI), ETH Zurich and University of Zurich
- Human Brain Project (SpiNNaker and BrainScaleS platforms)
- Stanford University - Various Labs (e.g., Brains in Silicon Lab)
- Telluride Neuromorphic Cognition Engineering Workshop
Key Companies and Initiatives
- Intel Labs - Neuromorphic Computing (Loihi)
- IBM Research - Neuromorphic and Brain-Inspired Computing (TrueNorth)
- Qualcomm AI Research - Neuromorphic
- BrainChip (Akida Neuromorphic System-on-Chip)
Online Courses and Educational Material
- Coursera, edX, Udacity: Search for courses on "Neuromorphic Computing," "Spiking Neural Networks," or "Brain-Inspired AI."
- Many universities also publish lecture series on YouTube.
Similarly, for those interested in other advanced technological fields, resources like Understanding Blockchain Technology can provide comprehensive introductions.
Communities and Forums
- Frontiers in Neuroscience - Neuromorphic Engineering Section (Journal)
- Relevant IEEE societies and conferences (e.g., IEEE International Conference on Rebooting Computing, IEEE IJCNN)
- Online forums like Reddit (e.g., r/neuromorphic) or specialized Discord/Slack channels.
Stay Curious, Keep Learning!
The journey into neuromorphic computing is ongoing. By engaging with these resources, you can stay at the forefront of this exciting and transformative technology. The principles of distributed, efficient processing are also being explored in other areas, for instance, in understanding microservices architecture for scalable software solutions.
Back to Introduction