Fundamentals of Neuromorphic Computing
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-71097-1_2
Reference10 articles.
1. Solomon, P. M. (2019). Analog neuromorphic computing using programmable resistor arrays. Solid-State Electronics, 155, 82–92. https://doi.org/10.1016/j.sse.2019.03.023
2. Soman, S., & Suri, M. (2016). Recent trends in neuromorphic engineering. Big Data Analytics, 1, 1–19. https://doi.org/10.1186/s41044-016-0013-1
3. Thakur, C. S., Molin, J. L., Cauwenberghs, G., Indiveri, G., Kumar, K., Qiao, N., et al. (2018). Large-scale neuromorphic spiking array processors: A quest to mimic the brain. Frontiers in Neuroscience, 12, 353526. https://doi.org/10.3389/fnins.2018.00891
4. Li, Y., & Ang, K. W. (2021). Hardware implementation of neuromorphic computing using large-scale memristor crossbar arrays. Advanced Intelligent Systems, 3(1), 2000137. https://doi.org/10.1002/aisy.202000137
5. Schwalger, T., Deger, M., & Gerstner, W. (2017). Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size. PLoS Computational Biology, 13(4), e1005507. https://doi.org/10.1371/journal.pcbi.1005507
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