mlsanityData to 14 Oct 2026

Intelligent and Miniaturized Neural Interfaces: An Emerging Era in Neurotechnology

arXiv 2405.10780 ↗First posted 13 May 2024eess.SP cs.AR cs.HCcited by 5

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Abstract (arXiv)

Integrating smart algorithms on neural devices presents significant opportunities for various brain disorders. In this paper, we review the latest advancements in the development of three categories of intelligent neural prostheses featuring embedded signal processing on the implantable or wearable device. These include: 1) Neural interfaces for closed-loop symptom tracking and responsive stimulation; 2) Neural interfaces for emerging network-related conditions, such as psychiatric disorders; and 3) Intelligent BMI SoCs for movement recovery following paralysis.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 7 of its 70 references that are in the map. First posted on arXiv 13 May 2024.

Builds on

7 of 70 references.

References · 7

  1. 2020ResOT: Resource-Efficient Oblique Trees for Neural Signal Classificationcited by 12
  2. 2015A 128 channel Extreme Learning Machine based Neural Decoder for Brain Machine Interfacescited by 8
  3. 2022NeuralTree: A 256-Channel 0.227-μJ/Class Versatile Neural Activity Classification and Closed-Loop Neuromodulation SoCcited by 8
  4. 2022Challenges and Opportunities of Edge AI for Next-Generation Implantable BMIscited by 5
  5. 2021Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detectioncited by 4
  6. 2022A 16-Channel Low-Power Neural Connectivity Extraction and Phase-Locked Deep Brain Stimulation SoCcited by 2
  7. 2022An Accurate and Hardware-Efficient Dual Spike Detector for Implantable Neural Interfacescited by 2

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Cited by year

Citing papers per year: 2024: 1; 2025: 4.

5 papers.