脑机接口 / BCI

Transient Information Flow in a Network of Excitatory and Inhibitory Model Neurons: Role of Noise and Signal Autocorrelation

Julien Mayor, Wulfram Gerstner

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

Comments 27 pages, 7 figures, to appear in J. Physiology (Paris) Vol. 98

Stimulus competition by inhibitory interference

Paul H. Tiesinga

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

Comments 20 pages, 7 figures, 1 table

General representation of collective neural dynamics with columnar modularity

Myoung Won Cho, Seunghwan Kim

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

Towards comparative theoretical neuroanatomy of the cerebral cortex

Jan Karbowski

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

Comments To be published in "Journal of Integrative Neuroscience"; special issue on 'Neuromorphic models'

Mean field theory for a balanced hypercolumn model of orientation selectivity in primary visual cortex

A. Lerchner, G. Sterner, J. Hertz, M. Ahmadi

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

Comments 20 pages, 9 figures

Comparation based bottom-up and top-down filtering model of the hippocampus and its environment

A. Lorincz

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

Comments 24 pages 7 figures

Ocular dominance patterns and the wire length minimization: a numerical study

Alexei A. Koulakov, Dmitri B. Chklovskii

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

Temporal structure in neuronal activity during working memory in Macaque parietal cortex

B. Pesaran, J. S. Pezaris, M. Sahani, P. P. Mitra, R. A. Andersen

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

Comments Originally submitted to the neuro-sys archive which was never publicly announced (was 0005002)

Synaptic Transmission: An Information-Theoretic Perspective

A. Manwani, C. Koch

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

Comments 7 pages, 4 figures, NIPS97 proceedings: neuroscience. Originally submitted to the neuro-sys archive which was never publicly announced (was 9809002)

Journal ref Advances in Neural Information Processing Systems 10, Michael I. Jordan, Michael J. Kearns and Sara Solla (eds.), 1997

Measuring the dynamics of neural responses in primary auditory cortex

Didier A. Depireux, Jonathan Z. Simon, Shihab A. Shamma

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

Comments 27 pages, 17 figures, straight LaTeX +psfig. Originally submitted to the neuro-sys archive which was never publicly announced (was 9804002)

Coding Strategies in Monkey V1 and Inferior Temporal Cortices

Ethan D. Gershon, Matthew C. Wiener, Peter E. Latham, Barry J. Richmond

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

Comments 25 pages, 8 figures. Originally submitted to the neuro-sys archive which was never publicly announced (was 9804001)

Journal ref J. Neurophsysiol. 79: 1135-1144, 1998

Has the Brain Maximized its Information Storage Capacity?

Armen Stepanyants

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

Comments 6 pages, 2 figures, 1 table

Spatiotemporal adaptation through corticothalamic loops: A hypothesis

Ulrich Hillenbrand, J. Leo van Hemmen

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

Comments 30 pages, 7 figures

Journal ref Visual Neuroscience 17 (2000), pp. 107-118

Separation of multiple evoked responses using differential amplitude and latency variability

Kevin H. Knuth, Wilson A. Truccolo, Steven L. Bressler, Mingzhou Ding

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

Comments 6 pages, 2 figures, presented at ICA 2001 Meeting, Dec 9-12, 2001, San Diego CA. (electronic proceedings file 100-knuth.pdf)

Journal ref Proceedings of the Third International Workshop on Independent Component Analysis and Blind Signal Separation (ICA 2001), p. 463, 2001

Neural coding of naturalistic motion stimuli

G. D. Lewen, W. Bialek, R. R. de Ruyter van Steveninck

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

Comments 15 pages, 4 figures

Spatial small-world networks: A wiring-cost perspective

Thomas Petermann, Paolo De Los Rios

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

Comments 3 figures, 2 tables. Added references, introduction and last paragraph of page 2 slightly modified

Processing of information in synchroneously firing chains in networks of neurons

Jens Christian Claussen

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

Journal ref Lecture Notes in Computer Science 4131, 710-717 (2006)

Responses of Ensemble Neurons to Spike-Train Signals with Independent Noises: Stochastic Resonance and Spike Variability

Hideo Hasegawa

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

Comments 15 pages, 3 figures

Journal ref Bull. Tokyo Gakugei Univ. Sect. IV, 55 (2003) 5

Hebbian imprinting and retrieval in oscillatory neural networks

Silvia Scarpetta, Zhaoping Li, John Hertz

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

Comments 24 pages, 4 figures

Journal ref Neural Computation 14, 2371 (2002).

Distinct Theta Synchrony across Speech Modes: Perceived, Spoken, Whispered, and Imagined

Jung-Sun Lee, Ha-Na Jo, Eunyeong Ko

机构 * Dept. of Artificial Intelligence Korea University Seoul, Republic of Korea（人工智能系 韩国大学首尔） 纠错

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

Comments 4 pages, 2 figures, 1 table, Name of Conference: International Conference on Brain-Computer Interface

CORTET: Robust generation of simulation-ready tetrahedral meshes of the fetal cerebral cortex

CORTET：稳健生成可用于模拟的皮质网格

Davood Shahsavari, Irina Grigorescu, Katherine R. Long, Jiaxin Xiao, Kaili Liang, Nashira Baena, Aakash Saboo, Saga N. B. Masui, Yourong Guo, Vanessa Kyriakopoulou, Alena Uus, Martin J. Bishop, Emma C. Robinson

专题命中 神经信号处理 ：cortical(abstract)

AI总结 研究针对人类大脑褶皱差异影响神经发育障碍成像生物标志物寻找的问题，提出CORTET全自动管道，将皮质表面转换为高质量四面体网格，经与通用网格划分器对比及多胎儿受试者验证，实现数值稳定的胎儿大脑形态弹性折叠模拟。

Shape-Independent Fluidity in Epithelial Cell Monolayers

上皮细胞单层中与形状无关的流体化

Pradip K. Bera, Anh Q. Nguyen, Molly McCord, Dapeng Bi, Jacob Notbohm

专题命中 神经信号处理 ：cortical(abstract)

AI总结 本研究发现上皮细胞单层的流体化与细胞形状无关，揭示了粘附能与耗散摩擦的相互作用对上皮流体性的重要性。

Comments 21 pages, 4 figures, and 6 page Supplementary Information attached

Tunable Hyperuniformity and Hidden Information in Random Cellular Structures

随机细胞结构中的可调超均匀性与隐藏信息

Yiwen Tang, Mostafa Alkady, Xinzhi Li, Dapeng Bi

专题命中 神经信号处理 ：cortical(abstract)

AI总结 研究人员利用力学顶点模型，通过调节细胞力学参数构建出可调超均匀态，提出HyPE系综，为多功能超材料设计提供了蓝图。

scDNM-VAE enables directly inspectable deep clustering of single-cell RNA-seq data through signed dendritic gating

scDNM-VAE 通过带符号的树突门控实现对单细胞 RNA 测序数据的可直接检查的深度聚类

Melih Agraz, Deniz Karapinar, Aysel Topsir, Qianying Cao, Erol Egrioglu, Gaurav Choudhary

专题命中 神经信号处理 ：cortical(abstract)

AI总结 本研究提出 scDNM-VAE 框架，其结合变分自编码器与树突神经元启发头部实现可直接检查的单细胞 RNA-seq 深度聚类，在多数据集上表现良好，且决策相关信息分布于潜在空间。

Comments 39 pages, 7 figures, 4 tables. Supplementary information available from the authors

Cytoarchitecture in Words: Weakly Supervised Vision-Language Modeling for Human Brain Microscopy

词中结构：用于人类大脑显微镜的弱监督视觉-语言建模

Matthew Sutton, Katrin Amunts, Timo Dickscheid, Christian Schiffer

机构 * Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich（神经科学与医学研究所（INM-1），焦耳研究中心） ； Helmholtz AI, Research Centre Jülich（海德堡人工智能研究所，焦耳研究中心） ； Institute for Brain Research, University Hospital Düsseldorf（脑研究所在杜塞尔多夫大学医院） ； Computer Vision, Institute for Computational Visualistics, University of Koblenz（计算机视觉，计算视觉研究所，科布伦茨大学） 纠错

专题命中 神经信号处理 ：cortical(abstract)

AI总结 本研究提出了一种弱监督视觉-语言建模方法，通过标签介导生成人类大脑显微镜的区域描述，实现了在缺乏配对标注情况下的自然语言生成。

Comments 13 pages, 5 figures, accepted for inclusion at GCPR 2026

Biophysics-informed deep operator learning for inverse problems with application to electrophysiological source reconstruction

面向逆问题的生物物理信息深度算子学习及其在电生理源重建中的应用

Eardi Lila, Erica R. Peterson, Alexis N. Bosseler, J. Nathan Kutz, Samu Taulu

专题命中 神经信号处理 ：neural signal(abstract)

AI总结 本文提出DeepOp-Informed框架，将生物物理原理嵌入深度算子学习模型，在脑磁图模拟和青少年听觉诱发电记录中提升了电生理源重建的性能与泛化能力。

RAG-Audio: Retrieval-Augmented Generation for Faithful Brain-to-Audio Reconstruction

RAG-Audio：用于忠实脑电信号到音频重建的检索增强生成

Ambuj Mehrish, Sebastiano Vascon

机构 * CVML Lab（CVML实验室） 纠错

专题命中 神经信号处理 ：neural signal(abstract)

AI总结 RAG-Audio通过检索真实音频样本初始化生成器采样轨迹，缓解脑电到音频生成的先验主导问题，在Brain2Music数据集上提升了刺激识别准确率并大幅降低Fréchet音频距离。

Maximum-Entropy Model of Colored Noise in Superdiffusive Axonal Growth

超扩散轴突生长中的最大熵模型

Julian Sutaria, Cristian Staii

专题命中 神经信号处理 ：cortical(abstract)

AI总结 本文基于最大熵原理，发展了轴突生长的粗粒度随机理论，通过推导牵引力弛豫率分布，预测了超扩散行为及速度自相关函数的幂律衰减。

Comments 20 pages, 5 figures

Learning in Deep Networks under Dale's Constraint

Dale约束下的深度网络学习

Roy Abel, Shimon Ullman

机构 * Weizmann Institute of Science（魏茨曼科学研究所） 纠错

专题命中 神经信号处理 ：cortical(abstract)

AI总结 本研究针对现有学习模型违背Dale约束的问题，提出含固定符号突触的非负开-关神经架构，结合局部Hebbian规则实现类反向传播学习，在Tiny ImageNet基准上较普通网络有显著性能提升。

Measurements Automatically Extracted from Zero Echo Time MRI Using Deep Learning Image Segmentation and Geometric Modeling Agree with Expert Manual Readings

基于深度学习图像分割与几何建模从零回波时间MRI自动提取的测量结果与专家手动读数一致

Jack Consolini, Eric A. Bogner, Meghan Sahr, Matthew F. Koff, Kevin M. Koch, Hollis G. Potter

专题命中 神经信号处理 ：cortical(abstract)

AI总结 该研究开发基于nnU-Net和定制几何算法的方法，从ZTE MRI自动提取FAI相关角度，其在多数角度上与专家手动测量结果一致性良好，证实全自动骨形态测量评估的可行性。