脑机接口 / BCI

Fuzzing the brain: Automated stress testing for the safety of ML-driven neurostimulation

对大脑进行模糊测试：用于ML驱动的神经刺激安全性的自动化压力测试

Mara Downing, Matthew Peng, Jacob Granley, Michael Beyeler, Tevfik Bultan

机构 * Department of Computer Science, University of California, Santa Barbara, CA, USA（计算机科学系，加州大学圣巴巴拉分校） 纠错

专题命中 神经假体 ：neuroprosthetic(abstract)；neural interface(abstract)

AI总结 本文提出了一种基于模糊测试的自动化方法，用于检测和表征ML驱动神经刺激系统中的不安全刺激模式，以提升神经接口的安全性。

Comments 20 pages, 4 figures, 2 tables

Decoding non-invasive brain activity with novel deep-learning approaches

Richard Csaky

专题命中 神经假体 ：EEG(abstract)；分类 q-bio.NC、eess.SP、cs.LG

Comments PhD thesis, 342 pages

Auricular Vagus Nerve Stimulation for Enhancing Remote Pilot Training and Operations

William J. Tyler

专题命中 神经假体 ：cortical(abstract)；分类 q-bio.NC、cs.HC、cs.RO

Comments 21 pages, 7 figures

Localising the Seizure Onset Zone from Single-Pulse Electrical Stimulation Responses with a CNN Transformer

Jamie Norris, Aswin Chari, Dorien van Blooijs, Gerald Cooray, Karl Friston, Martin Tisdall, Richard Rosch

专题命中 神经假体 ：EEG(abstract)；分类 q-bio.NC、eess.SP、cs.LG

Comments 21 pages, 6 figures, accepted at Machine Learning for Healthcare 2024

Decoding Continuous Character-based Language from Non-invasive Brain Recordings

Cenyuan Zhang, Xiaoqing Zheng, Ruicheng Yin, Shujie Geng, Jianhan Xu, Xuan Gao, Changze Lv, Zixuan Ling, Xuanjing Huang, Miao Cao, Jianfeng Feng

专题命中 神经假体 ：brain-computer interface(abstract)；cortical(abstract)

Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses

Jacob Granley, Tristan Fauvel, Matthew Chalk, Michael Beyeler

专题命中 神经假体 ：neuroprosthetic(abstract)；分类 q-bio.NC、cs.LG、cs.HC

Comments Camera ready version

ViT-MDHGR: Cross-day Reliability and Agility in Dynamic Hand Gesture Prediction via HD-sEMG Signal Decoding

Qin Hu, Golara Ahmadi Azar, Alyson Fletcher, Sundeep Rangan, S. Farokh Atashzar

专题命中 神经假体 ：neural interface(abstract)；分类 eess.SP、cs.HC、cs.RO

NET-TEN: a silicon neuromorphic network for low-latency detection of seizures in local field potentials

Margherita Ronchini, Yasser Rezaeiyan, Milad Zamani, Gabriella Panuccio, Farshad Moradi

专题命中 神经假体 ：neural interface(abstract)；分类 q-bio.NC、eess.SP、cs.HC

Comments 14 pages, 6 figures

The Portiloop: a deep learning-based open science tool for closed-loop brain stimulation

Nicolas Valenchon, Yann Bouteiller, Hugo R. Jourde, Xavier L'Heureux, Milo Sobral, Emily B. J. Coffey, Giovanni Beltrame

专题命中 神经假体 ：EEG(abstract)；分类 q-bio.NC、eess.SP、cs.LG

Comments 10 pages, 6 Figures (+ Supplementary: 10 pages, 13 Figures), journal paper. Open source code at https://github.com/Portiloop

Directly wireless communication of human minds via non-invasive brain-computer-metasurface platform

Qian Ma, Wei Gao, Qiang Xiao, Lingsong Ding, Tianyi Gao, Yajun Zhou, Xinxin Gao, Tao Yan, Che Liu, Ze Gu, Xianghong Kong, Qammer H. Abbasi, Lianlin Li, Cheng-Wei Qiu, Yuanqing Li, Tie Jun Cui

专题命中 神经假体 ：BCI(abstract)；brain-computer interface(abstract)

Journal ref eLight 2022

A geometry aware framework enhances noninvasive mapping of whole human brain dynamics

一种几何感知框架增强了非侵入性全人脑动态映射

Song Wang, Kexin Lou, Chen Wei, Zhiyuan Sheng, Jiahao Tang, Kaining Peng, Xinke Shen, Shuhao Mei, Liang Chen, Dongfeng Gu, Quanying Liu

专题命中 神经假体 ：cortical(abstract)；分类 q-bio.NC、eess.SP

AI总结 本文提出一种几何感知框架，通过嵌入个体皮层几何基函数提升全脑时空动态的非侵入性映射精度，验证了其在多种数据集上的有效性。

Pre-trained Transformer-models using chronic invasive electrophysiology for symptom decoding without patient-individual training

Timon Merk, Saeed Salehi, Richard M. Koehler, Qiming Cui, Maria Olaru, Amelia Hahn, Nicole R. Provenza, Simon Little, Reza Abbasi-Asl, Phil A. Starr, Wolf-Julian Neumann

专题命中 神经假体 ：neural decoding(abstract)；分类 cs.LG、cs.HC

Comments 5 pages, 6 figures

When neural implant meets multimodal LLM: A dual-loop system for neuromodulation and naturalistic neuralbehavioral research

Edward Hong Wang, Cynthia Xin Wen

专题命中 神经假体 ：EEG(abstract)；分类 q-bio.NC、cs.HC

Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings

Di Wu, Siyuan Li, Chen Feng, Lu Cao, Yue Zhang, Jie Yang, Mohamad Sawan

专题命中 神经假体 ：brain-computer interface(abstract)；分类 q-bio.NC、cs.LG

Comments ICLR2025 Poster (Preprint V2)

Decoding individual words from non-invasive brain recordings across 723 participants

Stéphane d'Ascoli, Corentin Bel, Jérémy Rapin, Hubert Banville, Yohann Benchetrit, Christophe Pallier, Jean-Rémi King

专题命中 神经假体 ：EEG(abstract)；分类 eess.SP、cs.LG

Three mechanistically different variability and noise sources in the trial-to-trial fluctuations of responses to brain stimulation

Ke Ma, Siwei Liu, Mengjie Qin, Stefan Goetz

专题命中 神经假体 ：cortical(abstract)；分类 q-bio.NC、eess.SP

Comments 11 pages, 4 figures

Personalized identification, prediction, and stimulation of neural oscillations via data-driven models of epileptic network dynamics

Tena Dubcek, Debora Ledergerber, Jana Thomann, Giovanna Aiello, Marc Serra-Garcia, Lukas Imbach, Rafael Polania

专题命中 神经假体 ：EEG(abstract)；分类 q-bio.NC、cs.LG

Comments 4+2 figures

Contrast detection is enhanced by deterministic, high-frequency transcranial alternating current stimulation with triangle and sine waveform

Weronika Potok, Onno van der Groen, Sahana Sivachelvam, Marc Bächinger, Flavio Fröhlich, Laszlo B. Kish, Nicole Wenderoth

专题命中 神经假体 ：cortical(abstract)；分类 q-bio.NC、eess.SP

Comments accepted for publication in J. Neurophysiology

Journal ref Journal of Neurophysiology 130, 458-473, 2023

Decoding speech perception from non-invasive brain recordings

Alexandre Défossez, Charlotte Caucheteux, Jérémy Rapin, Ori Kabeli, Jean-Rémi King

专题命中 神经假体 ：EEG(abstract)；分类 q-bio.NC、cs.LG

Comments updated version following publication in Nature Machine Intelligence (2023)

A Closed-loop Sleep Modulation System with FPGA-Accelerated Deep Learning

Mingzhe Sun, Aaron Zhou, Naize Yang, Yaqian Xu, Yuhan Hou, Xilin Liu

专题命中 神经假体 ：EEG(abstract)；分类 eess.SP、cs.LG

X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback

Jensen Gao, Siddharth Reddy, Glen Berseth, Nicholas Hardy, Nikhilesh Natraj, Karunesh Ganguly, Anca D. Dragan, Sergey Levine

专题命中 神经假体 ：brain-computer interface(abstract)；分类 cs.LG、cs.HC

Comments Accepted to International Conference on Learning Representations (ICLR) 2021

Brain Signals Analysis Based Deep Learning Methods: Recent advances in the study of non-invasive brain signals

Almabrok Essa, Hari Kotte

专题命中 神经假体 ：EEG(abstract)；分类 q-bio.NC、cs.LG

Comments 18 pages

Biomagnetic signals recorded during transcranial magnetic stimulation (TMS)-evoked peripheral muscular activity

Geoffrey Z. Iwata, Yinan Hu, Tilmann Sander, Muthuraman Muthuraman, Venkata Chaitanya Chirumamilla, Sergiu Groppa, Dmitry Budker, Arne Wickenbrock

专题命中 神经假体 ：EEG(abstract)；分类 q-bio.NC、eess.SP

Comments 16 pages, 4 figures

Deep learning from wristband sensor data: towards wearable, non-invasive seizure forecasting

Christian Meisel, Rima El Atrache, Michele Jackson, Sarah Schubach, Claire Ufongene, Tobias Loddenkemper

专题命中 神经假体 ：EEG(abstract)；分类 q-bio.NC、eess.SP

Brain Electrical Stimulation for Animal Navigation

Amirmasoud Ahmadi, Sepideh Farakhor Seghinsara, Mohammad Reza Daliri, Vahid Shalchyan

专题命中 神经假体 ：brain computer interface(abstract)；分类 q-bio.NC、cs.HC

Comments in Farsi

Journal ref Iranian Journal of Biomedical Engineering, 11(1), pp. 83-100

Stochastic Models of Neuronal Growth

神经元生长的随机模型

Cristian Staii

专题命中 神经假体 ：neuroprosthetic(abstract)；分类 q-bio.NC

AI总结 本文综述轴突生长的随机模型，结合朗之万动力学与福克-普朗克方程，耦合肌动蛋白-肌球蛋白-离合器模型，分析轴突动态的稳定性，为神经修复相关工程设计提供依据。

Comments 13 pages, 4 figures

Journal ref Staii C. Stochastic Models of Neuronal Growth. AppliedMath. 2025;5:170

Optimal stimulation sites are not the most affected: personalised models of resting-state fMRI in Alzheimer's disease

从读出几何到计算机模拟刺激：阿尔茨海默病的分布式功能连接特征

Cristiano Capone, Enza Cece, Andrea Ciardiello, Guido Gigante, Evaristo Cisbani, Maurizio Mattia

专题命中 神经假体 ：cortical(abstract)；分类 q-bio.NC

AI总结 研究针对阿尔茨海默病静息态功能连接改变问题，通过拟合储层计算模型重建滞后FC，对比两种模型读出方式，发现理想校正需分布式变化，基于此提出个性化靶向方法，证明有效神经调节需模型指导，刺激部位非偏差最大处而是治疗反应最强处。

Real-time Reconstruction of Human Visual Perception from fMRI

基于功能磁共振成像的人类视觉感知实时重建

Rishab S. Iyer, Jiaxin Cindy Tu, Cesar Kadir Torrico Villanueva, Anish Mahishi, Ross P. Kempner, Jacob S. Prince, Ernest W. Lo, Akash Bhowmick, Hritik Arasu, Amaar Chughtai, Elizabeth A. McDevitt, Paul S. Scotti, Kenneth A. Norman

机构 * Princeton University（普林斯顿大学） ； Dartmouth College（达特茅斯学院） ； Icahn School of Medicine at Mount Sinai（西奈山伊坎医学院） ； Harvard University（哈佛大学） ； University of Texas at Dallas（德克萨斯大学达拉斯分校） ； Medical AI Research Center (MedARC)（医学人工智能研究中心） 纠错

专题命中 神经假体 ：brain-computer interface(abstract)；分类 q-bio.NC

AI总结 该研究基于fMRI的实时闭环神经反馈分析方法落后，提出实时兼容的先进管道改编版，利用RT-Cloud平台实时扫描解码视觉感知，通过模拟分析记录性能变化因素，证明实时部署强大解码管道可行，为脑机接口应用铺路。

Interactive Semantic Segmentation for Phosphene Vision Neuroprosthetics

面向光幻视神经假体的交互式语义分割

Eleftherios Papadopoulos, Yagmur Güçlütürk

专题命中 神经假体 ：neuroprosthetic(abstract)；分类 cs.HC

AI总结 本研究通过用户反馈设计眼动引导的语义分割算法（基于SAM），在模拟光幻视环境中提升物体检测准确性，尤其对复杂场景和特定形状鲁棒。

Comments Pending significant revision of the statistical analysis

One Brain, Omni Modalities: Towards Unified Non-Invasive Brain Decoding with Large Language Models

一个大脑，多模态：迈向统一非侵入式脑解码的大型语言模型

Changli Tang, Shurui Li, Junliang Wang, Qinfan Xiao, Zhonghao Zhai, Lei Bai, Yu Qiao, Bowen Zhou, Wen Wu, Yuanning Li, Chao Zhang

机构 * Tsinghua University（清华大学） ； Shanghai AI Laboratory（上海人工智能实验室） ； ShanghaiTech University（上海科技大学） 纠错

专题命中 神经假体 ：EEG(abstract)；分类 q-bio.NC

AI总结 NOBEL通过统一EEG/MEG与fMRI信号，利用大型语言模型实现多模态非侵入式脑解码，提升解码准确性和对视觉语义的解读能力。