Intelligent and Miniaturized Neural Interfaces: An Emerging Era in Neurotechnology
Mahsa Shoaran, Uisub Shin, MohammadAli Shaeri

TL;DR
This paper reviews recent advancements in intelligent neural interfaces that incorporate embedded signal processing for applications like symptom tracking, psychiatric disorder management, and movement recovery, highlighting their potential in neurotechnology.
Contribution
It provides a comprehensive overview of the latest intelligent neural prostheses with embedded processing, focusing on three key application categories, and discusses their emerging role in neurotechnology.
Findings
Enhanced closed-loop symptom management
Potential for treating psychiatric disorders
Advancements in movement recovery systems
Abstract
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.
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