# Intelligent and Miniaturized Neural Interfaces: An Emerging Era in Neurotechnology

arXiv: https://arxiv.org/abs/2405.10780 · HTML: https://mlsanity.com/paper/2405.10780/

## 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 (most cited first, 7 of 7)

- [ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification](https://mlsanity.com/paper/2006.07900/) (2020)
- [A 128 channel Extreme Learning Machine based Neural Decoder for Brain Machine Interfaces](https://mlsanity.com/paper/1509.07450/) (2015)
- [NeuralTree: A 256-Channel 0.227-μJ/Class Versatile Neural Activity Classification and Closed-Loop Neuromodulation SoC](https://mlsanity.com/paper/2205.06090/) (2022)
- [Challenges and Opportunities of Edge AI for Next-Generation Implantable BMIs](https://mlsanity.com/paper/2204.02362/) (2022)
- [Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection](https://mlsanity.com/paper/2103.00606/) (2021)
- [A 16-Channel Low-Power Neural Connectivity Extraction and Phase-Locked Deep Brain Stimulation SoC](https://mlsanity.com/paper/2207.01060/) (2022)
- [An Accurate and Hardware-Efficient Dual Spike Detector for Implantable Neural Interfaces](https://mlsanity.com/paper/2208.13432/) (2022)

## Built on by (most cited first, 5 of 5)

- [Neural Brain: A Neuroscience-inspired Framework for Embodied Agents](https://mlsanity.com/paper/2505.07634/) (2025)
- [Hardware-Efficient EMG Decoding for Next-Generation Hand Prostheses](https://mlsanity.com/paper/2405.20052/) (2024)
- [MT-NAM: An Efficient and Adaptive Model for Epileptic Seizure Detection](https://mlsanity.com/paper/2503.08251/) (2025)
- [Machine-Learning-Powered Neural Interfaces for Smart Prosthetics and Diagnostics](https://mlsanity.com/paper/2505.02516/) (2025)
- [BiND: A Neural Discriminator-Decoder for Accurate Bimanual Trajectory Prediction in Brain-Computer Interfaces](https://mlsanity.com/paper/2509.03521/) (2025)

## 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.