James R. Kozloski

Orcid: 0000-0003-3420-4688

According to our database¹, James R. Kozloski authored at least 34 papers between 2003 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Learning coarse-grained force fields for fibrogenesis modeling.

[BibT_eX]

[DOI]

Comput. Phys. Commun., 2024

On the generalization capacity of neural networks during generic multimodal reasoning.

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[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

AI-aided multiscale modeling of physiologically-significant blood clots.

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[DOI]

Comput. Phys. Commun., June, 2023

2022

Scalable multiscale modeling of platelets with 100 million particles.

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[DOI]

J. Supercomput., 2022

Cannabinoid signaling and risk in Huntington's disease.

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[DOI]

James Humble

James R. Kozloski

Frontiers Comput. Neurosci., 2022

2021

Robustness of connectome harmonics to local gray matter and long-range white matter connectivity changes.

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[DOI]

NeuroImage, 2021

Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks.

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[DOI]

Jean-Christophe Gagnon-Audet

Neural Comput., 2021

Features importance in seizure classification using scalp EEG reduced to single timeseries.

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[DOI]

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Multimodal Dynamic Brain Connectivity Analysis Based on Graph Signal Processing for Former Athletes With History of Multiple Concussions.

[BibT_eX]

[DOI]

Maria Carmela Tartaglia

James R. Kozloski

IEEE Trans. Signal Inf. Process. over Networks, 2020

Striatal network modeling in Huntington's Disease.

[BibT_eX]

[DOI]

Adam Ponzi

Scott J. Barton

Kendra D. Bunner

Claudia Rangel-Barajas

PLoS Comput. Biol., 2020

Integration of AI and mechanistic modeling in generative adversarial networks for stochastic inverse problems.

[BibT_eX]

[DOI]

Jaimit Parikh

James R. Kozloski

Viatcheslav Gurev

CoRR, 2020

2019

Dimensions of control for subthreshold oscillations and spontaneous firing in dopamine neurons.

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[DOI]

Timothy H. Rumbell

James R. Kozloski

PLoS Comput. Biol., 2019

GSP Analysis of Brain Imaging Data from Athletes with History of Multiple Concussions.

[BibT_eX]

[DOI]

Saurabh Sihag

Sébastien Naze

Foad Taghdiri

Maria Carmela Tartaglia

James R. Kozloski

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Classification of TMS evoked potentials using ERP time signatures and SVM versus deep learning.

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[DOI]

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2017

Predicting cognitive states from wearable recordings of autonomic function.

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[DOI]

IBM J. Res. Dev., 2017

Dendritic spines modify action potential back-propagation in a multicompartment neuronal model.

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[DOI]

IBM J. Res. Dev., 2017

Striatal Network Models of Huntington's Disease Dysfunction Phenotypes.

[BibT_eX]

[DOI]

Pengsheng Zheng

James R. Kozloski

Frontiers Comput. Neurosci., 2017

Synaptic integrators implement inhibitory plasticity, eliminate loops and create a "winnerless" Network.

[BibT_eX]

[DOI]

James R. Kozloski

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2013

Self-referential forces are sufficient to explain different dendritic morphologies.

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[DOI]

Heraldo Memelli

Benjamin Torben-Nielsen

James R. Kozloski

Frontiers Neuroinformatics, 2013

2011

Automated Reconstruction of Neural Tissue and the Role of Large-Scale Simulation.

[BibT_eX]

[DOI]

James R. Kozloski

Neuroinformatics, 2011

An Ultrascalable Solution to Large-scale Neural Tissue Simulation.

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[DOI]

James R. Kozloski

John Wagner

Frontiers Neuroinformatics, 2011

The Computational Basis of Emotions and Implications for Cognitive Architectures.

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[DOI]

Charles C. Peck

James R. Kozloski

Proceedings of the Biologically Inspired Cognitive Architectures 2011, 2011

2009

Cognitive Impairments, HCI and Daily Living.

[BibT_eX]

[DOI]

Simeon Keates

James R. Kozloski

Philip Varker

Proceedings of the Universal Access in Human-Computer Interaction. Addressing Diversity, 2009

2008

Unsupervised Segmentation With Dynamical Units.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2008

Identifying, tabulating, and analyzing contacts between branched neuron morphologies.

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[DOI]

James R. Kozloski

Konstantinos Sfyrakis

IBM J. Res. Dev., 2008

Efficient segmentation in multi-layer oscillatory networks.

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[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2008

2007

Emergence of Topographic Cortical Maps in a Parameterless Local Competition Network.

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[DOI]

Proceedings of the Advances in Neural Networks, 2007

Topographic Infomax in a Neural Multigrid.

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[DOI]

Proceedings of the Advances in Neural Networks, 2007

Network-Related Challenges and Insights from Neuroscience.

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[DOI]

Proceedings of the Bio-Inspired Computing and Communication, 2007

2006

An optimization approach to achieve unsupervised segmentation and binding in a dynamical network.

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[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2006

Inference and segmentation in cortical processing.

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[DOI]

Proceedings of the Human Vision and Electronic Imaging XI, 2006

2005

Evaluation of the Effect of Input Stimuli on the Quality of Orientation Maps Produced Through Self Organization.

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[DOI]

Proceedings of the Image Analysis, 14th Scandinavian Conference, 2005

A model of the formation of a self-organized cortical representation of color.

[BibT_eX]

[DOI]

Proceedings of the Human Vision and Electronic Imaging X, 2005

2003

Simulation Infrastructure for Modeling Large Scale Neural Systems.

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[DOI]

Proceedings of the Computational Science - ICCS 2003, 2003

James R. Kozloski

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