脑机接口 / BCI - arXivDaily 专题

2204.02362 2022-04-14 cs.AI cs.AR cs.LG eess.SP 62%

Challenges and Opportunities of Edge AI for Next-Generation Implantable BMIs

MohammadAli Shaeri, Arshia Afzal, Mahsa Shoaran

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

2204.02169 2022-04-07 q-bio.NC cs.AI cs.LG 62%

Hybrid Predictive Coding: Inferring, Fast and Slow

Alexander Tschantz, Beren Millidge, Anil K Seth, Christopher L Buckley

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

Comments 05/04/22 initial upload. 06/04/22 added acknowledgements section

2106.05113 2022-03-23 cs.CV cs.LG q-bio.NC 62%

More Than Meets the Eye: Self-Supervised Depth Reconstruction From Brain Activity

Guy Gaziv, Michal Irani

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

Comments Code: https://github.com/WeizmannVision/SelfSuperReconst

2112.04035 2022-03-16 cs.NE cs.LG q-bio.NC 62%

Relating transformers to models and neural representations of the hippocampal formation

James C. R. Whittington, Joseph Warren, Timothy E. J. Behrens

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

2203.05488 2022-03-15 cs.LG math.GT q-bio.NC 62%

Geometric and Topological Inference for Deep Representations of Complex Networks

Baihan Lin

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

Comments To appear in Proceeding of WWW 2022. This work extends our prior work (arXiv:1810.02923, arXiv:1906.09264, arXiv:1902.10658) and put them in perspectives along with many other ongoing research in this direction

2008.06151 2022-03-14 eess.IV cs.CV cs.LG math.SP q-bio.NC 62%

Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes

Emanuel A. Azcona, Pierre Besson, Yunan Wu, Arjun Punjabi, Adam Martersteck, Amil Dravid, Todd B. Parrish, S. Kathleen Bandt, Aggelos K. Katsaggelos

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

Comments Accepted for the Shape in Medical Imaging (ShapeMI) workshop at MICCAI International Conference 2020

2202.07290 2022-02-16 q-bio.NC cs.AI cs.LG 62%

Don't stop the training: continuously-updating self-supervised algorithms best account for auditory responses in the cortex

Pierre Orhan, Yves Boubenec, Jean-Rémi King

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

2108.09817 2022-01-21 eess.SP cs.AI cs.LG cs.NE 62%

Electroencephalogram Signal Processing with Independent Component Analysis and Cognitive Stress Classification using Convolutional Neural Networks

Venkatakrishnan Sutharsan, Alagappan Swaminathan, Saisrinivasan Ramachandran, Madan Kumar Lakshmanan, Balaji Mahadevan

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

Comments 16 pages, 10 figures, 2 tables, 8 equations, 16 references

Journal ref Lecture Notes in Networks and Systems, vol 341, 01 January 2022

2009.06808 2021-06-17 cs.NE cs.CV cs.LG q-bio.NC 62%

Optimality of short-term synaptic plasticity in modelling certain dynamic environments

Timoleon Moraitis, Abu Sebastian, Evangelos Eleftheriou

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

Comments Main paper: 12 pages, 4 figures. Supplementary Information: 13 pages, 4 figures

1506.00354 2021-04-13 q-bio.NC cond-mat.dis-nn cs.LG cs.NE stat.ML 62%

Learning with hidden variables

Yasser Roudi, Graham Taylor

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

Comments revised version accepted in Current Opinion in Neurobiology

Journal ref Current Opinion in Neurobiology (2015), 35: 110-118

2011.11761 2021-02-12 cs.LG eess.SP physics.class-ph physics.data-an stat.ML 62%

A robust solution of a statistical inverse problem in multiscale computational mechanics using an artificial neural network

Florent Pled, Christophe Desceliers, Tianyu Zhang

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

Journal ref Computer Methods in Applied Mechanics and Engineering, Elsevier, 2021, 373, pp.113540

2012.09027 2020-12-17 q-bio.NC cs.CV cs.LG stat.ML 62%

A Differential Model of the Complex Cell

Miles Hansard, Radu Horaud

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

Journal ref Neural Computation, 23(9), 2011

2012.06972 2020-12-15 eess.SP cs.LG eess.IV 62%

fMRI-Kernel Regression: A Kernel-based Method for Pointwise Statistical Analysis of rs-fMRI for Population Studies

Anand A. Joshi, Soyoung Choi, Haleh Akrami, Richard M. Leahy

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

2011.09447 2020-12-15 physics.med-ph cs.LG eess.SP stat.AP 62%

Interpretable Visualization and Higher-Order Dimension Reduction for ECoG Data

Kelly Geyer, Frederick Campbell, Andersen Chang, John Magnotti, Michael Beauchamp, Genevera I. Allen

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

2010.13164 2020-10-28 eess.SP cs.LG stat.AP 62%

A Hierarchical Graph Signal Processing Approach to Inference from Spatiotemporal Signals

Nafiseh Ghoroghchian, Stark C. Draper, Roman Genov

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

Journal ref In 2018 29th Biennial Symposium on Communications (BSC) (pp. 1-5). IEEE (2018, June)

2010.12660 2020-10-27 q-bio.NC cs.LG cs.NE 62%

A simple normative network approximates local non-Hebbian learning in the cortex

Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii

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

Comments Body and supplementary materials of NeurIPS 2020 paper. 19 pages, 7 figures

2010.08715 2020-10-20 q-bio.NC cs.AI cs.LG 62%

Understanding Information Processing in Human Brain by Interpreting Machine Learning Models

Ilya Kuzovkin

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

Comments Defended on September 22, 2020 (video recording at https://www.uttv.ee/naita?id=30480). Supervisor: Dr. Raul Vicente Zafra (Computational Neuroscience Lab, University of Tarty, Estonia). Opponents: Dr. Fabian Sinz (IRG Neuronal Intelligence, University of Tübingen, Germany), Dr. Tim C Kietzmann (Donders Institute for Brain, Cognition and Behaviour, Radboud University, Netherlands)

2004.05488 2020-09-03 cs.NE cs.LG q-bio.NC 62%

Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning

Lyes Khacef, Laurent Rodriguez, Benoit Miramond

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

Comments Preprint

2007.09341 2020-07-21 cs.HC q-bio.NC 62%

Applications of brain imaging methods in driving behaviour research

Milad Haghani, Michiel C. J. Bliemer, Bilal Farooq, Inhi Kim, Zhibin Li, Cheol Oh, Zahra Shahhoseini, Hamish MacDougall

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

2006.16976 2020-07-01 cs.CV cs.LG q-bio.NC 62%

Self-Supervised Learning of a Biologically-Inspired Visual Texture Model

Nikhil Parthasarathy, Eero P. Simoncelli

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

Comments 15 pages, 7 figures

1904.13007 2020-01-29 q-bio.NC cs.LG stat.ML 62%

Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks

Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Siwei Ma, Tiejun Huang, Jian K. Liu

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

Comments 35 pages, 10 figures

1905.01173 2019-12-16 cs.CV cs.LG q-bio.NC q-bio.QM 62%

Computational analysis of laminar structure of the human cortex based on local neuron features

Andrija Štajduhar, Tomislav Lipić, Goran Sedmak, Sven Lončarić, Miloš Judaš

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

1911.08585 2019-11-21 q-bio.NC cs.LG stat.ML 62%

Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks

Thomas Mesnard, Gaetan Vignoud, Joao Sacramento, Walter Senn, Yoshua Bengio

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

1911.05072 2019-11-14 cs.LG cs.AI cs.CV q-bio.NC 62%

Learning From Brains How to Regularize Machines

Zhe Li, Wieland Brendel, Edgar Y. Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian H. Sinz, Xaq Pitkow, Andreas S. Tolias

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

Comments 14 pages, 7 figures, NeurIPS 2019

1903.05946 2019-10-09 q-bio.NC cs.CV cs.LG 62%

Recurrence is required to capture the representational dynamics of the human visual system

Tim C Kietzmann, Courtney J Spoerer, Lynn Sörensen, Radoslaw M Cichy, Olaf Hauk, Nikolaus Kriegeskorte

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

Comments https://www.pnas.org/content/early/2019/10/04/1905544116.short?rss=1

Journal ref Proceedings of the National Academy of Sciences, p. 1-10 (2019)

1908.08380 2019-08-23 eess.SP cs.LG cs.NE stat.ML 62%

Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting

Zachariah Carmichael, Humza Syed, Dhireesha Kudithipudi

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

Comments 10 pages, 10 figures, Proceedings of the Neuro-inspired Computational Elements Workshop (NICE '19), March 26-28, 2019, Albany, NY, USA

1907.12830 2019-07-31 eess.IV cs.LG q-bio.NC 62%

Pain Detection with fNIRS-Measured Brain Signals: A Personalized Machine Learning Approach Using the Wavelet Transform and Bayesian Hierarchical Modeling with Dirichlet Process Priors

Daniel Lopez-Martinez, Ke Peng, Arielle Lee, David Borsook, Rosalind Picard

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

1901.03553 2019-04-05 cs.CV cs.LG q-bio.NC q-bio.QM stat.ML 62%

DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders

Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander

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

Comments 24 pages, 5 figures, 2 tables, 1 algorithm

Journal ref NeuroImage, Volume 192, 15 May 2019, Pages 166-177

1901.00945 2019-01-07 q-bio.NC cs.LG cs.NE 62%

A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs

Jack Lindsey, Samuel A. Ocko, Surya Ganguli, Stephane Deny

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

Journal ref International Conference on Learning Representations, 2019 https://openreview.net/forum?id=S1xq3oR5tQ

1807.00053 2018-10-30 q-bio.NC cs.AI cs.CV cs.LG cs.NE 62%

Task-Driven Convolutional Recurrent Models of the Visual System

Aran Nayebi, Daniel Bear, Jonas Kubilius, Kohitij Kar, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins

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

Comments NIPS 2018 Camera Ready Version, 16 pages including supplementary information, 6 figures

1. 神经信号处理 2241 篇

Challenges and Opportunities of Edge AI for Next-Generation Implantable BMIs

Hybrid Predictive Coding: Inferring, Fast and Slow

More Than Meets the Eye: Self-Supervised Depth Reconstruction From Brain Activity

Relating transformers to models and neural representations of the hippocampal formation

Geometric and Topological Inference for Deep Representations of Complex Networks

Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes

Don't stop the training: continuously-updating self-supervised algorithms best account for auditory responses in the cortex

Electroencephalogram Signal Processing with Independent Component Analysis and Cognitive Stress Classification using Convolutional Neural Networks

Optimality of short-term synaptic plasticity in modelling certain dynamic environments

Learning with hidden variables

A robust solution of a statistical inverse problem in multiscale computational mechanics using an artificial neural network

A Differential Model of the Complex Cell

fMRI-Kernel Regression: A Kernel-based Method for Pointwise Statistical Analysis of rs-fMRI for Population Studies

Interpretable Visualization and Higher-Order Dimension Reduction for ECoG Data

A Hierarchical Graph Signal Processing Approach to Inference from Spatiotemporal Signals

A simple normative network approximates local non-Hebbian learning in the cortex

Understanding Information Processing in Human Brain by Interpreting Machine Learning Models

Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning

Applications of brain imaging methods in driving behaviour research

Self-Supervised Learning of a Biologically-Inspired Visual Texture Model

Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks

Computational analysis of laminar structure of the human cortex based on local neuron features

Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks

Learning From Brains How to Regularize Machines

Recurrence is required to capture the representational dynamics of the human visual system

Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting

Pain Detection with fNIRS-Measured Brain Signals: A Personalized Machine Learning Approach Using the Wavelet Transform and Bayesian Hierarchical Modeling with Dirichlet Process Priors

DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders

A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs

Task-Driven Convolutional Recurrent Models of the Visual System