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A 10 MSample/Sec Digital Neural Spike Detection for a 1024 Pixels Multi Transistor Array Sensor

Tambaro, M., Vallicelli, E. A., Tomasella, D., Baschirotto, A., Vassanelli, S., Maschietto, M., & Matteis, M. D. (2019) · IEEE International Conference on Electronics, Circuits and Systems (ICECS) · doi:10.1109/icecs46596.2019.8965141 · Cited by 3 · see citing works

Wearable and implantable biosensors: mechanisms and applications in closed-loop therapeutic systems

Zheng, Z., Zhu, R., Peng, I., Xu, Z., & Jiang, Y. (2024) · Journal of Materials Chemistry B · doi:10.1039/d4tb00782d · Cited by 114 · see citing works

Comparative analysis of energy transfer mechanisms for neural implants

Miziev, S., Pawlak, W. A., & Howard, N. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1320441 · Cited by 21 · see citing works

Firing-rate-modulated spike detection and neural decoding co-design

Zhang, Z., & Constandinou, T. G. (2023) · Journal of Neural Engineering · doi:10.1088/1741-2552/accece · Cited by 20 · see citing works

Calibration-Free and Hardware-Efficient Neural Spike Detection for Brain Machine Interfaces

Zhang, Z., Feng, P., Oprea, A., & Constandinou, T. G. (2023) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2023.3278531 · Cited by 20 · see citing works

Towards neuromorphic compression based neural sensing for next-generation wireless implantable brain machine interface

Mohan, V., Tay, W. P., & Basu, A. (2025) · Neuromorphic Computing and Engineering · doi:10.1088/2634-4386/adad10 · Cited by 10 · see citing works

Technical survey of end-to-end signal processing in BCIs using invasive MEAs

Erbslöh, A., Buron, L., Ur-Rehman, Z., Musall, S., Hrycak, C., Löhler, P., Klaes, C., Seidl, K., & Schiele, G. (2024) · Journal of Neural Engineering · doi:10.1088/1741-2552/ad8031 · Cited by 10 · see citing works

Neuromorphic algorithms for brain implants: a review

Pawlak, W. A., & Howard, N. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1570104 · Cited by 12 · see citing works

Architectural Exploration of Neuromorphic Compression based Neural Sensing for Next-Gen Wireless implantable-BMI

Mohan, V., Tay, W. P., & Basu, A. (2023) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas46773.2023.10181523 · Cited by 8 · see citing works

Power-efficient in vivo brain-machine interfaces via brain-state estimation

Valencia, D., Leone, G., Keller, N., Mercier, P. P., & Alimohammad, A. (2023) · Journal of Neural Engineering · doi:10.1088/1741-2552/acb385 · Cited by 7 · see citing works

An active electronic, high-density epidural paddle array for chronic spinal cord neuromodulation

Parker, S. R., Calvert, J. S., Darie, R., Jang, J., Govindarajan, L. N., Angelino, K., Chitnis, G. D., Iyassu, Y., Shaaya, E. A., Fridley, J., et al. (2025) · Journal of Neural Engineering · doi:10.1088/1741-2552/adba8b · Cited by 6 · see citing works

Low-Power Energy-Based Spike Detector ASIC for Implantable Multichannel BMIs

Saggese, G., & Strollo, A. G. M. (2022) · Electronics · doi:10.3390/electronics11182943 · Cited by 5 · see citing works

Closed-Loop Deep Brain Stimulation Platform for Translational Research

Li, Y., Nie, Y., Li, X., Cheng, X., Zhu, G., Zhang, J., Quan, Z., & Wang, S. (2024) · Neuromodulation Technology at the Neural Interface · doi:10.1016/j.neurom.2024.10.012 · Cited by 4 · see citing works

Hybrid Event-Frame Neural Spike Detector for Neuromorphic Implantable BMI

Mohan, V., Tay, W. P., & Basu, A. (2024) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas58744.2024.10557904 · Cited by 4 · see citing works

Event-based Neural Spike Detection Using Spiking Neural Networks for Neuromorphic iBMI Systems

Hwang, C., Zhou, B., Ke, Y., Mohan, V., Ko, J. H., & Basu, A. (2025) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas56072.2025.11044186 · Cited by 4 · see citing works

NeuroBMI: A New Neuromorphic Implantable Wireless Brain Machine Interface with A 0.48 µW Event-Driven Noise-Tolerant Spike Detector

Chen, J., Wu, H., Liu, X., Eskandari, R., Tian, F., Zou, W., Fang, C., Yang, J., & Sawan, M. (2023) · IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) · doi:10.1109/aicas57966.2023.10168619 · Cited by 3 · see citing works

A Clockless Robust Bionic Spike Detector for Implantable Brain-Computer Interfaces

Chen, J., Liu, X., Wu, H., Tian, F., Zou, W., Katebi, M., Eskandari, R., Yang, J., & Sawan, M. (2023) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas58349.2023.10388732 · Cited by 2 · see citing works

A 0.53-μW/channel calibration-free spike detection IC with 98.8-%-accuracy based on stationary wavelet transforms and Teager energy operators

Zhou, Z., Hu, Z., & Lyu, H. (2025) · Journal of Neural Engineering · doi:10.1088/1741-2552/adb5c4 · Cited by 2 · see citing works

A Low-Power Spike Detector Using In-Memory Computing for Event-based Neural Frontend

Ke, Y., & Basu, A. (2024) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas58744.2024.10558690 · Cited by 1 · see citing works

Spike Detection Performance of a Noise-Enhanced Nonlinear Filter Across Varied Neuron Distances

Güngör, C. B., & Töreyin, H. (2024) · Wearable and Implantable Body Sensor Networks · doi:10.1109/bsn63547.2024.10780703 · Cited by 1 · see citing works

A 64-channel Fully Implantable Brain-computer Microsystem with Custom Microelectrode Array

Hao, Y., Han, L., Jin, Y., Chen, Q., Yu, C., Yu, B., Li, P., Han, J., & Wang, Y. (2024) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas61083.2024.10798410 · Cited by 1 · see citing works

Prototype of a Multimodal and Multichannel Electro-Physiological and General-Purpose Signal Capture System: Evaluation in Sleep-Research-like Scenario

Cevallos-Larrea, P., Guambaña-Calle, L., Molina-Vidal, D. A., Castillo-G, J., Netto, A. D., & Tierra-Criollo, C. J. (2025) · Sensors · doi:10.3390/s25092816 · Cited by 1 · see citing works

Ultra Low Power, Event-Driven Data Compression of Multi-Unit ActivityPreprint

Savolainen, O. W., Zhang, Z., & Constandinou, T. G. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.11.24.517853 · Cited by 1 · see citing works

Continual Learning-Guided Adaptive Approximate Computing for Real-Time MEA Spike Detection

Minhas, M. F., Awwad, F. R., Hasan, O., & Shafique, M. (2025) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2025.3643314

Établissement d'une boucle de communication bidirectionnelle entre des neurones vivants et des neurones artificiels analogiques pour la conception de neurobiohybrides de nouvelle génération

Schoonjans, N. (2023) · theses.fr (ABES) · doi:10.70675/94740532zade2z43aaz8916z9c894953f5f2

Improving Far-Field Spike Detection via Coupled Nonlinear Pre-Emphasis in HD-MEAs

Töreyin, H., & Güngör, C. B. (2025) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner61569.2025.11588922

Calibration-Free and Hardware-Efficient Neural Spike Detection for Brain Machine Interfaces

Zhang, Z., Feng, P., Oprea, A., & Constandinou, T. G. (2023) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2023.3278531 · Cited by 20 · see citing works

Hardware evaluation of spike detection algorithms towards wireless brain machine interfaces

Oprea, A., Zhang, Z., & Constandinou, T. G. (2022) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas54905.2022.9948632 · Cited by 9 · see citing works

Reconfigurable System-on-Chip Architecture for Neural Signal Processing

Balasubramanian, K. (2011) · TUScholarShare (Temple University)

An implantable VLSI architecture for real time spike sorting in cortically controlled Brain Machine Interfaces

Aghagolzadeh, M., Zhang, F., & Oweiss, K. G. (2010) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2010.5626691 · Cited by 8 · see citing works

Real-time neural signal processing and low-power hardware co-design for wireless implantable brain machine interfaces

Zhang, Z. (2023) · doi:10.25560/108113