Researchers have developed a new 32-channel event-based analog front-end (AFE) application-specific integrated circuit (ASIC) designed for biomedical signal acquisition and encoding. This ASIC utilizes adaptive Pulse Frequency Modulation (PFM) and Asynchronous Delta Modulator (aADM) circuits to achieve high data compression for low-power information transmission. Fabricated using a 180 nm CMOS process, the device is compatible with Spiking Neural Network (SNN) neuromorphic processors and is intended for applications such as adaptive wireless communication of neural signals in brain-computer interfaces. AI
IMPACT This hardware advancement could lead to more efficient and compact neuromorphic systems for real-time neural signal processing.
RANK_REASON The item is an academic paper detailing a new hardware design for bio-signal processing. [lever_c_demoted from research: ic=1 ai=1.0]
Read on arXiv cs.NE (Neural & Evolutionary) →
- 180 nm CMOS
- Analog Front-Ends (AFEs)
- arXiv
- Asynchronous Delta Modulator (aADM)
- Giacomo Indiveri
- Spiking Neural Network (SNN)
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