Pengfei Sun
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- Lab member: 2025-
- Google Scholar
- ORCID
- Supervised by: Danyal Akarca, Dan Goodman
Pengfei Sun works on developing brain-inspired neural networks, with a particular focus on delay learning, neuromorphic applications, and EEG decoding.
Pengfei is supervised by Dan Akarca and co-supervised by Dan Goodman.
Publications
Note that only publications as part of the Neural Reckoning group are included here (see external publications below for full list).
2025
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Sun P, Su Z, Achterberg J, Indiveri G, Goodman DFM, Akarca D
Algorithm-hardware co-design of neuromorphic networks with dual memory pathways.
Preprint -
Sun P, Achterberg J, Su Z, Goodman DFM, Akarca D
Exploiting heterogeneous delays for efficient computation in low-bit neural networks.
Preprint -
Sun P, Achterberg J, Goodman DFM, Akarca D (2025)
Long delays reduce the need for precise weights in spiking neural networks.
Cognitive Computational Neuroscience
External publications
This is a short preview of the publications from other sources (ORCID, Semantic Scholar). Note that publications from work done outside the Neural Reckoning group are included in this list.
2025
- Pengfei Sun, Jorg De Winne, Malu Zhang, Paul Devos, Dick Botteldooren (2025)
Electroencephalography Decoding with Conditional Identification Generator
International Journal of Neural Systems - Pengfei Sun, Jibin Wu, Malu Zhang, Paul Devos, Dick Botteldooren (2025)
Delayed Memory Unit: Modeling Temporal Dependency Through Delay Gate
IEEE Transactions on Neural Networks and Learning Systems - Pengfei Sun, Jibin Wu, Paul Devos, Dick Botteldooren (2025)
Towards parameter-free attentional spiking neural networks
Neural Networks - Pengfei Sun, Jorg De Winne, Malu Zhang, Paul Devos, Dick Botteldooren (2025)
Delayed knowledge transfer: Cross-modal knowledge transfer from delayed stimulus to EEG for continuous attention detection based on spike-represented EEG signals
Neural Networks - Pengfei Sun, Wenyu Jiang, Paul Devos, Dick Botteldooren (2025)
Parallel Delayed Memory Units for Enhanced Temporal Modeling in Biomedical and Bioacoustic Signal Analysis
IEEE Transactions on Audio, Speech and Language Processing
2024
- Pengfei Sun, Jibin Wu, Malu Zhang, Paul Devos, Dick Botteldooren (2024)
Delay learning based on temporal coding in Spiking Neural Networks
Neural Networks
2023
- Pengfei Sun, Yansong Chua, Paul Devos, Dick Botteldooren (2023)
Learnable axonal delay in spiking neural networks improves spoken word recognition
Frontiers in Neuroscience - Pengfei Sun, Ehsan Eqlimi, Yansong Chua, Paul Devos, Dick Botteldooren (2023)
Adaptive Axonal Delays in Feedforward Spiking Neural Networks for Accurate Spoken Word Recognition
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2022
- Sumit Bam Shrestha, Longwei Zhu, Pengfei Sun (2022)
Spikemax: Spike-based Loss Methods for Classification
2022 International Joint Conference on Neural Networks (IJCNN) - Pengfei Sun, Longwei Zhu, Dick Botteldooren (2022)
Axonal Delay as a Short-Term Memory for Feed Forward Deep Spiking Neural Networks
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)