🧠🗣️ The article “A 40-nm 3.9 mW, 200 Words/Min Neural Signal Processor in Speech Decoding for Brain–Machine Interface” presents a low-power neural signal processor enabling real-time speech decoding for brain–machine interface systems.
🔗 Read: https://t.co/iYFwMgnJxB
📝 Ready to share your latest research with the biomedical circuits and systems community? The IEEE TBioCAS invites original, high-quality manuscripts at the intersection of circuits, systems, and biomedical applications.
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https://t.co/saK6BFb8q7
🧬 About IEEE Transactions on Biomedical Circuits and Systems (TBioCAS)
The IEEE TBioCAS is a leading, peer-reviewed journal at the intersection of circuits and systems engineering and the life sciences.
👉 Learn more about TBioCAS subscriptions: https://t.co/meTLukylq2
🧠 New TBioCAS graphical abstract spotlight:
A Neuromodulation System with Real-Time Neural Signals Recovery Overlapped Temporally and Spectrally with Stimulation Artifacts
Read the full paper on IEEE Xplore®: https://t.co/jAfmsEJEVg
🖐️ TBioCAS Graphical Abstract Highlight
DERMIS: End-to-End Design of a Fully Integrated Large-Area Grasp-State-Adaptive Tactile Sensor System on a-IGZO TFT
📄 Read the paper: https://t.co/IeXHXXMb0k
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🙏 Thank You, TBioCAS Reviewers
Your dedication plays a vital role in ensuring the quality, integrity, and impact of TBioCAS. The journal’s success would not be possible without you. 🌍📘
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📚Looking to dive deeper into the intersection of circuits & systems and the life sciences? Explore the full archive of IEEE Transactions on Biomedical Circuits and Systems (#TBioCAS) on #IEEE#Xplore.
👉 Read past issues: https://t.co/LDmdQ776bC
🧠 New in IEEE TBioCAS: Self-Adaptive Pseudo-Resistors Enabling Millisecond-Level Artifact Recovery and High-Linearity for Neural Recording Front-Ends.
📄 Read the full paper: https://t.co/wz2DaWTed7
#TBioCAS#NeuralInterfaces#BiomedicalCircuits#Neurotechnology
🧠 New Graphical Abstract in IEEE TBioCAS “A 7 mHz–6.29 Hz Configurable High-Pass Analog Front-End with Direct Tunneling Biasing and Output DC-Servo Loop”
📄 Read the full paper: https://t.co/xqzq9kUojY
#TBioCAS#BiomedicalCircuits#AnalogFrontEnds#NeuralInterfaces#CMOS
We're delighted to spotlight Associate Editor Dr. Yuanqi Hu from Beihang University! ✨ Dr. Hu has provided exceptional service to IEEE TBioCAS as an Associate Editor since 2022. We are deeply grateful for his expertise and hard work in advancing our journal and the field!
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