脑机接口 / BCI

A Bayes-Markov Neuromorphic Model of Cortical Orientation Selectivity: A Computational Re-implementation and Quantitative Simulation Study

皮层方向选择性的贝叶斯-马尔可夫神经形态模型：计算重实现与定量模拟研究

Abolfazl Moslemi, Milad Sarabadani, Fatemeh Sefidian, Hossein Peyvandi

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

AI总结 本文重实现Shirazi的贝叶斯-马尔可夫神经形态模型，通过定量模拟验证其可产生尖锐方向选择性等核心行为，还添加脉冲式SCI层实现并完成相关评估。

Comments 24 pages. Computational neuroscience; orientation selectivity; neuromorphic modeling

Harnessing cortical geometry, wiring, and function as inductive biases for recurrent neural networks

利用皮层几何、连接和功能作为循环神经网络的归纳偏置

Mo Shakiba, Rana Rokni, Mohammad Mohammadi, Nima Dehghani

机构 * Neuromatch Academy, Neuromatch, Inc., USA（Neuromatch学院，Neuromatch公司，美国） ； McGovern Institute for Brain Research, Massachusetts Institute of Technology (MIT)（麦戈文脑科学研究所，麻省理工学院（MIT）） 纠错

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

AI总结 本研究利用MICrONS项目数据，通过神经元空间坐标、解剖连接和功能关系初始化循环权重并施加空间约束，构建生物基础循环神经网络，在认知决策任务中优于基线模型，并发展出低熵、模块化和小世界组织。

Cortex and subcortex play distinct roles over learning when cortical memory is limited

皮层与皮层下在学习中扮演不同角色：当皮层记忆受限时

Matthew Farrell, Taro Toyoizumi

机构 * Laboratory for Neural Computation and Adaptation（神经计算与适应实验室） ； RIKEN Center for Brain Science（脑科学研究中心） ； Department of Mathematical Informatics, Graduate School of Information Science and Technology（信息科学与技术研究生院数学信息学系） ； The University of Tokyo（东京大学） 纠错

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

AI总结 通过约束模型基模块的记忆资源，研究皮层与皮层下系统在学习中的功能分离，发现皮层支持一般结构学习而皮层下专攻奖励学习。

Comments Preprint. 19 pages, 4 figures

Let Robots Feel Your Touch: Visuo-Tactile Cortical Alignment for Embodied Mirror Resonance

让机器人感受你的触摸：用于具身镜像共振的视觉-触觉皮层对齐

Tianfang Zhu, Ning An, Rui Wang, Jiasi Gao, Qingming Luo, Anan Li, Guyue Zhou

机构 * Institute for AI Industry Research, Tsinghua University（清华大学人工智能产业研究院） ； Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University（海南省生物医学工程重点实验室，海南大学生物医学工程学院） ； School of New Media Art and Design, Beihang University（北航艺术与设计学院） ； MoE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology（教育部生物医学光子学重点实验室，武汉光电研究所，华中科技大学） 纠错

专题命中 神经信号处理 ：cortical(title,abstract)；分类 cs.LG、cs.RO

AI总结 本文提出镜像触觉网络，通过多级约束实现视觉与触觉表征的语义、分布和几何对齐，使机器人能从RGB图像预测毫米级触觉信号，为具身镜像共振提供可解释的机器人感知路径。

Feature Visualization Recovers Known Cortical Selectivity from TRIBE v2

特征可视化从TRIBE v2中恢复已知的皮层选择性

Stuart Bladon, Brinnae Bent

机构 * Duke University（杜克大学） 纠错

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

AI总结 本文提出特征可视化技术，通过梯度上升在TRIBE v2中恢复皮层选择性，发现不同区域在空间尺度和特征复杂度上的渐进变化，并产生三种下游模式。

Comments 8 pages, 3 figures, 2 tables. Code available at https://github.com/recozers/Tribe-V2-Interp

From Cortical Synchronous Rhythm to Brain Inspired Learning Mechanism: An Oscillatory Spiking Neural Network with Time-Delayed Coordination

从皮层同步节律到脑启发学习机制：一种具有时间延迟协调的振荡性脉冲神经网络

Tingting Dan, Guorong Wu

机构 * Department of Psychiatry & Department of Computer Science（精神病学系与计算机科学系） 纠错

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

AI总结 本文提出一种脑启发学习机制，通过迭代的自下而上和自上而下交互，实现认知层面的神经同步，利用振荡同步实现高效信息处理。

Comments 19 pages, 6 figures

Template-Based Cortical Surface Reconstruction with Minimal Energy Deformation

Patrick Madlindl, Fabian Bongratz, Christian Wachinger

机构 * Lab for AI in Medical Imaging, Technical University of Munich（人工智能医学成像实验室，慕尼黑技术大学） ； Munich Center for Machine Learning（慕尼黑机器学习中心） 纠错

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

Spherical Brownian Bridge Diffusion Models for Conditional Cortical Thickness Forecasting

Ivan Stoyanov, Fabian Bongratz, Christian Wachinger

机构 * Lab for AI in Medical Imaging, Technical University of Munich, Munich, Germany（人工智能医学影像实验室，慕尼黑技术大学，慕尼黑，德国） ； Munich Center for Machine Learning, Munich, Germany（慕尼黑机器学习中心，慕尼黑，德国） 纠错

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

Brain Foundation Models: A Survey on Advancements in Neural Signal Processing and Brain Discovery

Xinliang Zhou, Chenyu Liu, Zhisheng Chen, Kun Wang, Yi Ding, Ziyu Jia, Qingsong Wen

专题命中 神经信号处理 ：neural signal(title,abstract)；分类 eess.SP、cs.LG

Comments IEEE Signal Processing Magazine

Sparse chaos in cortical circuits

Rainer Engelken, Michael Monteforte, Fred Wolf

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

Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals

Hui Zheng, Hai-Teng Wang, Wei-Bang Jiang, Zhong-Tao Chen, Li He, Pei-Yang Lin, Peng-Hu Wei, Guo-Guang Zhao, Yun-Zhe Liu

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

Stimulus-to-Stimulus Learning in RNNs with Cortical Inductive Biases

Pantelis Vafidis, Antonio Rangel

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

Comments 37 pages, 13 figures

New modalities of cortical electrophysiology, perspectives in medical research and human physiology

Pierre Bourdillon, Linnea Evanson

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

Comments Published in the Fyssen Annals 2021 in French and English. Article in French: pages 1-7. Article in English: pages 7-13

Learning efficient backprojections across cortical hierarchies in real time

Kevin Max, Laura Kriener, Garibaldi Pineda García, Thomas Nowotny, Ismael Jaras, Walter Senn, Mihai A. Petrovici

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

Comments Updated with streamlined main part, CIFAR-10 simulations, including DFA and minor fixes

Unidirectional brain-computer interface: Artificial neural network encoding natural images to fMRI response in the visual cortex

Ruixing Liang, Xiangyu Zhang, Qiong Li, Lai Wei, Hexin Liu, Avisha Kumar, Kelley M. Kempski Leadingham, Joshua Punnoose, Leibny Paola Garcia, Amir Manbachi

专题命中 神经信号处理 ：brain-computer interface(title)；cortical(abstract)；分类 q-bio.NC、cs.HC

End-to-end topographic networks as models of cortical map formation and human visual behaviour: moving beyond convolutions

Zejin Lu, Adrien Doerig, Victoria Bosch, Bas Krahmer, Daniel Kaiser, Radoslaw M Cichy, Tim C Kietzmann

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

SUGAR: Spherical Ultrafast Graph Attention Framework for Cortical Surface Registration

Jianxun Ren, Ning An, Youjia Zhang, Danyang Wang, Zhenyu Sun, Cong Lin, Weigang Cui, Weiwei Wang, Ying Zhou, Wei Zhang, Qingyu Hu, Ping Zhang, Dan Hu, Danhong Wang, Hesheng Liu

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

NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants

Chenyu Xue, Fan Wang, Yuanzhuo Zhu, Hui Li, Deyu Meng, Dinggang Shen, Chunfeng Lian

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

Comments 12 page 4 fig and 2 table

Single-phase deep learning in cortico-cortical networks

Will Greedy, Heng Wei Zhu, Joseph Pemberton, Jack Mellor, Rui Ponte Costa

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

Comments Accepted to 36th Conference on Neural Information Processing Systems (NeurIPS 2022). 22 pages, 9 figures, 5 tables

Joint Reconstruction and Parcellation of Cortical Surfaces

Anne-Marie Rickmann, Fabian Bongratz, Sebastian Pölsterl, Ignacio Sarasua, Christian Wachinger

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

Comments accepted at MLCN workshop 2022

Adapting Brain-Like Neural Networks for Modeling Cortical Visual Prostheses

Jacob Granley, Alexander Riedel, Michael Beyeler

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

Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signals

Qinhua Jenny Sun, Khuong Vo, Kitty Lui, Michael Nunez, Joachim Vandekerckhove, Ramesh Srinivasan

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

Comments This paper was accepted as an oral presentation at IEEE WCCI 2022 (IJCNN 2022), under the session Neurodynamics and computational Neuroscience. This paper is published in International Joint Conference on Neural Networks (IJCNN) Proceedings 2022

A Deep Generative Model of Neonatal Cortical Surface Development

Abdulah Fawaz, Logan Z. Williams, A. David Edwards, Emma Robinson

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

Learning cortical representations through perturbed and adversarial dreaming

Nicolas Deperrois, Mihai A. Petrovici, Walter Senn, Jakob Jordan

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

Comments 35 pages, 15 figures; ; Jakob Jordan and Walter Senn share senior authorship

Two-argument activation functions learn soft XOR operations like cortical neurons

Kijung Yoon, Emin Orhan, Juhyun Kim, Xaq Pitkow

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

Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury

Cailey I. Kerley, Leon Y. Cai, Chang Yu, Logan M. Crawford, Jason M. Elenberger, Eden S. Singh, Kurt G. Schilling, Katherine S. Aboud, Bennett A. Landman, Tonia S. Rex

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

Comments To be published in Proc SPIE Int Soc Opt Eng. 2021 Feb

ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification

Bingzhao Zhu, Masoud Farivar, Mahsa Shoaran

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

Predicting intelligence based on cortical WM/GM contrast, cortical thickness and volumetry

Juan Miguel Valverde, Vandad Imani, John D. Lewis, Jussi Tohka

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

Comments Submission to the ABCD Neurocognitive Prediction Challenge at MICCAI 2019

Dendritic cortical microcircuits approximate the backpropagation algorithm

João Sacramento, Rui Ponte Costa, Yoshua Bengio, Walter Senn

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

Comments To appear in Advances in Neural Information Processing Systems 31 (NIPS 2018). 12 pages, 3 figures, 9 pages of supplementary material (2 supplementary figures)

Dendritic error backpropagation in deep cortical microcircuits

João Sacramento, Rui Ponte Costa, Yoshua Bengio, Walter Senn

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

Comments 27 pages, 5 figures, 10 pages supplementary information