脑机接口 / BCI

Study on Compressed Sensing of Action Potential

Hyunseok Park, Xilin Liu

专题命中 神经信号处理 ：EEG(abstract)；neural signal(abstract)；分类 eess.SP

Classification of fNIRS Data Under Uncertainty: A Bayesian Neural Network Approach

Talha Siddique, Md Shaad Mahmud

专题命中 神经信号处理 ：BCI(abstract)；brain-computer interface(abstract)；分类 cs.LG

A Cognition-Affect Integrated Model of Emotion

Sudhakar Mishra, U. S. Tiwary

专题命中 神经信号处理 ：neural decoding(abstract)；cortical(abstract)；分类 q-bio.NC

Decoding hand kinematics from population responses in sensorimotor cortex during grasping

Elizaveta V. Okorokova, James M. Goodman, Nicholas G. Hatsopoulos, Sliman J. Bensmaia

专题命中 神经信号处理 ：neural signal(abstract)；cortical(abstract)；分类 q-bio.NC

Neural wave interference and intrinsic tuning in distributed excitatory-inhibitory networks

Sergei Gepshtein, Ambarish S. Pawar, Sergey Saveliev, Thomas D. Albright

专题命中 神经信号处理 ：neural signal(abstract)；cortical(abstract)；分类 q-bio.NC

Comments 15 pages, 5 figures, 1 table

The effect of ionic diffusion on extracellular potentials in neural tissue

Geir Halnes, Tuomo Mäki-Marttunen, Daniel Keller, Klas H. Pettersen, Gaute T. Einevoll

专题命中 神经信号处理 ：neural signal(abstract)；cortical(abstract)；分类 q-bio.NC

Comments 27 pages, 8 figures

Kernel convolution model for decoding sounds from time-varying neural responses

Ali Faisal, Anni Nora, Jaeho Seol, Hanna Renvall, Riitta Salmelin

专题命中 神经信号处理 ：neural signal(abstract)；cortical(abstract)；分类 q-bio.NC

Comments 4 pages, Accepted at IEEE International Workshop on Pattern Recognition in Neuroimaging, Stanford, June 2015

A Spatiotemporal Dynamic Solution to the MEG Inverse Problem: An Empirical Bayes Approach

Camilo Lamus, Matti S. Hämäläinen, Simona Temereanca, Emery N. Brown, Patrick L. Purdon

专题命中 神经信号处理 ：EEG(abstract)；cortical(abstract)；分类 q-bio.NC

Journal ref NeuroImage, vol. 63, no. 2, pp. 894-909. 2012

Critical phenomena and noise-induced phase transitions in neuronal networks

K. -E. Lee, M. A. Lopes, J. F. F. Mendes, A. V. Goltsev

专题命中 神经信号处理 ：EEG(abstract)；cortical(abstract)；分类 q-bio.NC

Comments 15 pages, 9 figures. arXiv admin note: substantial text overlap with arXiv:1304.3237

Journal ref Phys. Rev. E. 89, 012701 (2014)

Wyrm, A Pythonic Toolbox for Brain-Computer Interfacing

Bastian Venthur, Benjamin Blankertz

专题命中 神经信号处理 ：BCI(abstract)；brain-computer interface(abstract)；分类 cs.HC

Comments Part of the Proceedings of the 7th European Conference on Python in Science (EuroSciPy 2014), Pierre de Buyl and Nelle Varoquaux editors, (2014)

A 32-channel event-based bio-signal analog front-end with adaptive delta and pulse frequency encoding

一种具有自适应增量和脉冲频率编码的32通道基于事件的生物信号模拟前端

Narayanan Shyam, Saptarshi Ghosh, Giacomo Indiveri

专题命中 神经信号处理 ：brain-computer interface(abstract)；neural signal(abstract)

AI总结 本文提出一种用于生物医学信号采集和编码的32通道基于事件的AFE专用集成电路，具有双模编码机制，aADM编码器可实时自适应调整编码数据速率，实现高数据压缩，为脑机接口神经信号自适应无线通信和在线处理提供支持。

Comments Submitted to NeuroPHY 2026 workshop, at the EWSN 2026 conference

Embedded Polygon Symbolic Transfer Entropy (EPSTE): A Geometric Token and Deep Learning Approach to Estimating Transfer Entropy in Neuroimaging Time Series

嵌入多边形符号传递熵 (EPSTE)：一种用于神经影像时间序列传递熵估计的几何令牌与深度学习方法

David Alexander Finnigan

专题命中 神经信号处理 ：EEG(abstract,abstract_cn)

AI总结 提出EPSTE框架，将传递熵估计转化为基于局部时间形态几何符号表示的可学习问题，结合循环神经网络与注意力多实例学习，在MEG数据上实现稳定有向依赖估计。

Comments 45 pages, 13 figures, 2 tables

Towards Interpretable Visual Decoding with Attention to Brain Representations

向基于脑表示的可解释视觉解码迈进

Pinyuan Feng, Hossein Adeli, Wenxuan Guo, Fan Cheng, Ethan Hwang, Nikolaus Kriegeskorte

机构 * Zuckerman Mind Brain Behavior Institute, Columbia University, USA（祖克曼心智大脑行为研究所，哥伦比亚大学，美国） 纠错

专题命中 神经信号处理 ：neural decoding(abstract)；cortical(abstract)

AI总结 本文提出NeuroAdapter框架，通过直接条件化潜在扩散模型于脑表示，实现更透明的脑-图像解码与重建。

Comments Accepted by ICLR 2026

Backpropagation through space, time, and the brain

通过空间、时间和大脑的反向传播

Benjamin Ellenberger, Paul Haider, Jakob Jordan, Kevin Max, Ismael Jaras, Laura Kriener, Federico Benitez, Mihai A. Petrovici

专题命中 神经信号处理 ：cortical(abstract)；分类 q-bio.NC、eess.SP、cs.LG

AI总结 本文提出了一种生物合理的计算框架GLE，用于在物理动态神经网络中实现完全局部的空间-时间信用分配，通过利用树突形态和突触可塑性实现高效信息处理与存储。

Comments First authorship shared by Benjamin Ellenberger and Paul Haider

Journal ref Nat. Commun. 17, 66 (2026)

Cognitive Sovereignty and the Neurosecurity Governance Gap: Evidence from Singapore

认知主权与神经安全治理鸿沟：来自新加坡的证据

Hailee Carter

专题命中 神经信号处理 ：brain computer interface(abstract)；neural signal(abstract)

AI总结 本文探讨了认知主权与神经安全治理鸿沟，通过新加坡案例分析，提出认知主权框架以保护神经过程免受外部干扰。

Comments 18 pages, 0 figures

Ultra-sensitive graphene-based electro-optic sensors for optically-multiplexed neural recording

超灵敏的基于石墨烯的光电传感器用于光乘复神经记录

Zabir Ahmed, Xiang Li, Kanika Sarna, Harshvardhan Gupta, Vishal Jain, Maysamreza Chamanzar

专题命中 神经信号处理 ：neural signal(abstract)；neural interface(abstract)

AI总结 该研究提出了一种基于石墨烯的光电传感器，通过光复用技术实现高灵敏度的神经信号记录，展示了在小鼠脑组织中检测到25μV的神经信号，并实现了单波导上10个传感器的复用记录。

Unveiling Deep Semantic Uncertainty Perception for Language-Anchored Multi-modal Vision-Brain Alignment

Zehui Feng, Chenqi Zhang, Mingru Wang, Minuo Wei, Shiwei Cheng, Cuntai Guan, Ting Han

专题命中 神经信号处理 ：EEG(abstract)；neural signal(abstract)

Comments 30 pages, 16 figures, under review as a conference paper

Condition-Invariant fMRI Decoding of Speech Intelligibility with Deep State Space Model

Ching-Chih Sung, Shuntaro Suzuki, Francis Pingfan Chien, Komei Sugiura, Yu Tsao

机构 * 1Academia Sinica, Taiwan 2Keio University, Japan 3Graduate Institute of Communication Engineering, National Taiwan University, Taiwan 4Taiwan International Graduate Program in Interdisciplinary Neuroscience, National Taiwan University, Taiwan 纠错

专题命中 神经信号处理 ：cortical(abstract)；分类 q-bio.NC、eess.SP、cs.LG

BrainWave: A Brain Signal Foundation Model for Clinical Applications

Zhizhang Yuan, Fanqi Shen, Meng Li, Yuguo Yu, Chenhao Tan, Yang Yang

机构 * Computer Science and Technology（计算机科学与技术） ； Zhejiang University（浙江大学） ； Chinese Academy of Sciences（中国科学院） ； INSIDE Institute for Biological and Artificial Intelligence（生物与人工智能研究所） ； Research Institute of Intelligent and Complex Systems（智能与复杂系统研究所） ； Fudan University（复旦大学） ； Shanghai Artificial Intelligence Laboratory（上海人工智能实验室） ； University of Chicago（芝加哥大学） 纠错

专题命中 神经信号处理 ：neural signal(abstract)；分类 q-bio.NC、eess.SP、cs.LG

Comments 32 pages, 14 figures

Scalable 49-Channel Neural Recorder with an Event-Driven Ramp ADC and PCA Compression in 28 nm CMOS

William Lemaire, Esmaeil Ranjbar Koleibi, Maher Benhouria, Konin Koua, Jérémy Ménard, Keven Gagnon, Charles Quesnel, Louis-Philippe Gauthier, Takwa Omrani, Montassar Dridi, Mahdi Majdoub, Marwan Besrour, Sébastien Roy, Réjean Fontaine

专题命中 神经信号处理 ：neural signal(abstract)；neural interface(abstract)

Bi-Band ECoGNet for ECoG Decoding on Classification Task

Changqing Ji

专题命中 神经信号处理 ：BCI(abstract)；brain-computer interface(abstract)

Comments Method in this paper is too old, we need to merge with our later method

Fast Multi-Group Gaussian Process Factor Models

Evren Gokcen, Anna I. Jasper, Adam Kohn, Christian K. Machens, Byron M. Yu

专题命中 神经信号处理 ：cortical(abstract)；分类 q-bio.NC、eess.SP、cs.LG

Explainable MST-ECoGNet Decode Visual Information from ECoG Signal

Changqing JI

专题命中 神经信号处理 ：BCI(abstract)；brain-computer interface(abstract)

BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?

David Mayo, Christopher Wang, Asa Harbin, Abdulrahman Alabdulkareem, Albert Eaton Shaw, Boris Katz, Andrei Barbu

专题命中 神经信号处理 ：neural signal(abstract)；分类 q-bio.NC、eess.SP、cs.LG

Comments 23 pages, 16 figures, Accepted at NeurIPS 2024

Separation of Neural Drives to Muscles from Transferred Polyfunctional Nerves using Implanted Micro-electrode Arrays

Laura Ferrante, Anna Boesendorfer, Deren Yusuf Barsakcioglu, Benedikt Baumgartner, Yazan Al-Ajam, Alex Woollard, Norbert Venantius Kang, Oskar Aszmann, Dario Farina

专题命中 神经信号处理 ：neural signal(abstract)；分类 q-bio.NC、eess.SP、cs.LG

Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction

Guobin Shen, Dongcheng Zhao, Xiang He, Linghao Feng, Yiting Dong, Jihang Wang, Qian Zhang, Yi Zeng

专题命中 神经信号处理 ：brain-computer interface(abstract)；neural signal(abstract)

Research Advances and New Paradigms for Biology-inspired Spiking Neural Networks

Tianyu Zheng, Liyuan Han, Tielin Zhang

专题命中 神经信号处理 ：BCI(abstract)；brain-computer interface(abstract)

Sequential memory improves sample and memory efficiency in Episodic Control

Ismael T. Freire, Adrián F. Amil, Paul F. M. J. Verschure

专题命中 神经信号处理 ：cortical(abstract)；分类 q-bio.NC、cs.LG、cs.RO

Comments 21 pages, 8 figures

Block-As-Domain Adaptation for Workload Prediction from fNIRS Data

Jiyang Wang, Ayse Altay, Senem Velipasalar

专题命中 神经信号处理 ：cortical(abstract)；分类 eess.SP、cs.LG、cs.HC

Convolutional Spiking Neural Networks for Detecting Anticipatory Brain Potentials Using Electroencephalogram

Nathan Lutes, Venkata Sriram Siddhardh Nadendla, K. Krishnamurthy

专题命中 神经信号处理 ：EEG(abstract)；cortical(abstract)

Comments 16 pages, 6 figures, Scientific Reports submission