Asynchronous bioplausible neuron for spiking neural networks for event-based vision

Sanket Kachole; Hussain Sajwani; Fariborz Baghaei Naeini; Dimitrios Makris; Yahya Zweiri

doi:10.1007/978-3-031-73039-9_23

Asynchronous bioplausible neuron for spiking neural networks for event-based vision

Sanket Kachole
, Hussain Sajwani
, Fariborz Baghaei Naeini
, Dimitrios Makris
, Yahya Zweiri

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Downloads (Pure)

Original language	English
Title of host publication	This work was supported by Kingston University, the Advanced Research and Innovation Center (ARIC), which is jointly funded by Khalifa University of Science and Technology, STRATA Manufacturing PJSC (a Mubadala company) and Sandooq Al Watan under Grant SWARD-S22-015. Published in: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G. (eds) Computer Vision - ECCV 2024. ECCV 2024. Lecture Notes in Computer Science, vol 15122. Springer, Cham. ISBN 9783031730382. ISSN 0302-9743.
DOIs	https://doi.org/10.1007/978-3-031-73039-9_23
Publication status	Published - 31 Oct 2024

Bibliographical note

Note: This work was supported by Kingston University, the Advanced Research and Innovation Center (ARIC), which is jointly funded by Khalifa University of Science and Technology, STRATA Manufacturing PJSC (a Mubadala company) and Sandooq Al Watan under Grant SWARD-S22-015. Published in: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G. (eds) Computer Vision - ECCV 2024. ECCV 2024. Lecture Notes in Computer Science, vol 15122. Springer, Cham. ISBN 9783031730382. ISSN 0302-9743.

Keywords

Computer science and informatics

Access to Document

10.1007/978-3-031-73039-9_23

Kachole-S-55379-AAMAccepted author manuscript, 1.05 MB
Kachole-S-55379-AAM-SupplementaryAccepted author manuscript, 1.66 MB

Asynchronous bioplausible neuron for spiking neural networks for event-based vision
Kachole, S., Sajwani, H., Naeini, F. B., Makris, D. & Zweiri, Y., 31 Oct 2024.
Research output: Contribution to conference › Paper › peer-review

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Kachole, S., Sajwani, H., Baghaei Naeini, F., Makris, D., & Zweiri, Y. (2024). Asynchronous bioplausible neuron for spiking neural networks for event-based vision. In This work was supported by Kingston University, the Advanced Research and Innovation Center (ARIC), which is jointly funded by Khalifa University of Science and Technology, STRATA Manufacturing PJSC (a Mubadala company) and Sandooq Al Watan under Grant SWARD-S22-015. Published in: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G. (eds) Computer Vision - ECCV 2024. ECCV 2024. Lecture Notes in Computer Science, vol 15122. Springer, Cham. ISBN 9783031730382. ISSN 0302-9743. https://doi.org/10.1007/978-3-031-73039-9_23

Kachole, Sanket ; Sajwani, Hussain ; Baghaei Naeini, Fariborz et al. / Asynchronous bioplausible neuron for spiking neural networks for event-based vision. This work was supported by Kingston University, the Advanced Research and Innovation Center (ARIC), which is jointly funded by Khalifa University of Science and Technology, STRATA Manufacturing PJSC (a Mubadala company) and Sandooq Al Watan under Grant SWARD-S22-015. Published in: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G. (eds) Computer Vision - ECCV 2024. ECCV 2024. Lecture Notes in Computer Science, vol 15122. Springer, Cham. ISBN 9783031730382. ISSN 0302-9743.. 2024.

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Kachole, S, Sajwani, H, Baghaei Naeini, F, Makris, D & Zweiri, Y 2024, Asynchronous bioplausible neuron for spiking neural networks for event-based vision. in This work was supported by Kingston University, the Advanced Research and Innovation Center (ARIC), which is jointly funded by Khalifa University of Science and Technology, STRATA Manufacturing PJSC (a Mubadala company) and Sandooq Al Watan under Grant SWARD-S22-015. Published in: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G. (eds) Computer Vision - ECCV 2024. ECCV 2024. Lecture Notes in Computer Science, vol 15122. Springer, Cham. ISBN 9783031730382. ISSN 0302-9743.. https://doi.org/10.1007/978-3-031-73039-9_23

Asynchronous bioplausible neuron for spiking neural networks for event-based vision. / Kachole, Sanket; Sajwani, Hussain; Baghaei Naeini, Fariborz et al.
This work was supported by Kingston University, the Advanced Research and Innovation Center (ARIC), which is jointly funded by Khalifa University of Science and Technology, STRATA Manufacturing PJSC (a Mubadala company) and Sandooq Al Watan under Grant SWARD-S22-015. Published in: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G. (eds) Computer Vision - ECCV 2024. ECCV 2024. Lecture Notes in Computer Science, vol 15122. Springer, Cham. ISBN 9783031730382. ISSN 0302-9743.. 2024.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Zweiri, Yahya

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BT - This work was supported by Kingston University, the Advanced Research and Innovation Center (ARIC), which is jointly funded by Khalifa University of Science and Technology, STRATA Manufacturing PJSC (a Mubadala company) and Sandooq Al Watan under Grant SWARD-S22-015. Published in: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G. (eds) Computer Vision - ECCV 2024. ECCV 2024. Lecture Notes in Computer Science, vol 15122. Springer, Cham. ISBN 9783031730382. ISSN 0302-9743.

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Kachole S, Sajwani H, Baghaei Naeini F, Makris D, Zweiri Y. Asynchronous bioplausible neuron for spiking neural networks for event-based vision. In This work was supported by Kingston University, the Advanced Research and Innovation Center (ARIC), which is jointly funded by Khalifa University of Science and Technology, STRATA Manufacturing PJSC (a Mubadala company) and Sandooq Al Watan under Grant SWARD-S22-015. Published in: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G. (eds) Computer Vision - ECCV 2024. ECCV 2024. Lecture Notes in Computer Science, vol 15122. Springer, Cham. ISBN 9783031730382. ISSN 0302-9743.. 2024 doi: 10.1007/978-3-031-73039-9_23