Research output per year
Research output per year
Personal profile
Biography
Dylan is the Vice President for Global Research Operations at SynSense. After studying Computer Science and Electronic Engineering in Australia, he moved to ETH in Zürich for a PhD in computational neuroscience. He spent several years working within experimental Neuroscience labs, examining how cortical connectivity rules give rise to information processing within cortex, then moved to SynSense in 2018 to found the Machine Learning Applications team there. He is now responsible for coordinating research and development activities within the company. He moved to Perth in 2024.
He has published in computational and experimental neuroscience, as well as SNN applications and methods.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Computational Neuroscience, PhD (Dr Sciences), Eidgenössische Technische Hochschule Zürich
Award Date: 26 Mar 2010
Electronic Engineering, B Engineering (Elec.) Hons 1A, Queensland University of Technology
Award Date: 27 Sept 2002
IT (Computer Science), B IT, Queensland University of Technology
Award Date: 27 Sept 2002
External positions
Vice President, SynSense
1 Mar 2018 → …
Senior Postdoctoral Research Fellow, University of Basel
2013 → 31 Jan 2018
Postdoctoral Research Fellow, University of Zurich
2010 → 2013
Research expertise keywords
- neuromorphic engineering
- machine learning
- spiking neural networks
- computational neuroscience
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Collaborations and top research areas from the last five years
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Research output
- 17 Article
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Functional specificity of recurrent inhibition in visual cortex
Znamenskiy, P., Kim, M.-H., Muir, D. R., Iacaruso, M. F., Hofer, S. B. & Mrsic-Flogel, T. D., 20 Mar 2024, In: Neuron. 112, 6, p. 991-1000.e8 19 p., e8.Research output: Contribution to journal › Article › peer-review
Open Access13 Citations (Scopus) -
Gradient-descent hardware-aware training and deployment for mixed-signal neuromorphic processors
Cakal, U., Maryada, Wu, C., Ulusoy, I. & Muir, D., 15 Mar 2024, (E-pub ahead of print) In: Neuromorphic Computing and Engineering. 4, 1, p. 1-14 14 p., 014011.Research output: Contribution to journal › Article › peer-review
Open Access -
Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing
Pedersen, J. E., Abreu, S., Jobst, M., Lenz, G., Fra, V., Bauer, F. C., Muir, D. R., Zhou, P., Vogginger, B., Heckel, K., Urgese, G., Shankar, S., Stewart, T. C., Sheik, S. & Eshraghian, J. K., Dec 2024, In: Nature Communications. 15, 1, 15 p., 8122.Research output: Contribution to journal › Article › peer-review
Open Access -
Real-time sub-milliwatt epilepsy detection implemented on a spiking neural network edge inference processor
Li, R., Zhao, G., Muir, D. R., Ling, Y., Burelo, K., Khoe, M., Wang, D., Xing, Y. & Qiao, N., Dec 2024, In: Computers in Biology and Medicine. 183, 10 p., 109225.Research output: Contribution to journal › Article › peer-review
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Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors.
Büchel, J., Zendrikov, D., Solinas, S. M. G., Indiveri, G. & Muir, D. R., 3 Dec 2021, In: Scientific Reports. 11, 1, 12 p., 23376.Research output: Contribution to journal › Article › peer-review
Open Access16 Citations (Scopus)