James R. Kozloski

36 papers A* 1B 2C 1Misc 1Journal 20Unranked 11
YearRankTypeTitle / Venue / Authors
2024 J jnl
Learning coarse-grained force fields for fibrogenesis modeling.
Comput. Phys. Commun.
Ziji Zhang, Georgios Kementzidis, Peng Zhang, Leili Zhang, James R. Kozloski, Adam Hansen, Miriam Rafailovich, Marcia Simon, Yuefan Deng
2024 A* conf
On the generalization capacity of neural networks during generic multimodal reasoning.
ICLR
Takuya Ito, Soham Dan, Mattia Rigotti, James R. Kozloski, Murray Campbell
2024 J jnl
On the generalization capacity of neural networks during generic multimodal reasoning.
CoRR
Takuya Ito, Soham Dan, Mattia Rigotti, James R. Kozloski, Murray Campbell
2023 J jnl
AI-aided multiscale modeling of physiologically-significant blood clots.
Comput. Phys. Commun.
Yicong Zhu, Changnian Han, Peng Zhang, Guojing Cong, James R. Kozloski, Chih-Chieh Yang, Leili Zhang, Yuefan Deng
2022 J jnl
AI-aided multiscale modeling of physiologically-significant blood clots.
CoRR
Yicong Zhu, Changnian Han, Peng Zhang, Guojing Cong, James R. Kozloski, Chih-Chieh Yang, Leili Zhang, Yuefan Deng
2022 J jnl
Cannabinoid signaling and risk in Huntington's disease.
Frontiers Comput. Neurosci.
James Humble, James R. Kozloski
2022 J jnl
Scalable multiscale modeling of platelets with 100 million particles.
J. Supercomput.
Changnian Han, Peng Zhang, Yicong Zhu, Guojing Cong, James R. Kozloski, Chih-Chieh Yang, Leili Zhang, Yuefan Deng
2021 — conf
Features importance in seizure classification using scalp EEG reduced to single timeseries.
EMBC
Sébastien Naze, Jianbin Tang, James R. Kozloski, Stefan Harrer
2021 J jnl
Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks.
Neural Comput.
Germán Abrevaya, Guillaume Dumas, Aleksandr Y. Aravkin, Peng Zheng, Jean-Christophe Gagnon-Audet, James R. Kozloski, Pablo Polosecki, Guillaume Lajoie, David D. Cox, Silvina Ponce Dawson, Guillermo A. Cecchi, Irina Rish
2021 J jnl
Robustness of connectome harmonics to local gray matter and long-range white matter connectivity changes.
NeuroImage
Sébastien Naze, Timothée Proix, Selen Atasoy, James R. Kozloski
2020 J jnl
Integration of AI and mechanistic modeling in generative adversarial networks for stochastic inverse problems.
CoRR
Jaimit Parikh, James R. Kozloski, Viatcheslav Gurev
2020 J jnl
Multimodal Dynamic Brain Connectivity Analysis Based on Graph Signal Processing for Former Athletes With History of Multiple Concussions.
IEEE Trans. Signal Inf. Process. over Networks
Saurabh Sihag, Sébastien Naze, Foad Taghdiri, Charles Tator, Richard Wennberg, David J. Mikulis, Robin Green, Brenda Colella, Maria Carmela Tartaglia, James R. Kozloski
2020 J jnl
Striatal network modeling in Huntington's Disease.
PLoS Comput. Biol.
Adam Ponzi, Scott J. Barton, Kendra D. Bunner, Claudia Rangel-Barajas, Emily S. Zhang, Benjamin R. Miller, George V. Rebec, James R. Kozloski
2019 — conf
Classification of TMS evoked potentials using ERP time signatures and SVM versus deep learning.
EMBC
Sébastien Naze, Vittorio Caggiano, Yinming Sun, Molly V. Lucas, Amit Etkin, James R. Kozloski
2019 J jnl
Dimensions of control for subthreshold oscillations and spontaneous firing in dopamine neurons.
PLoS Comput. Biol.
Timothy H. Rumbell, James R. Kozloski
2019 — conf
GSP Analysis of Brain Imaging Data from Athletes with History of Multiple Concussions.
GlobalSIP
Saurabh Sihag, Sébastien Naze, Foad Taghdiri, Maria Carmela Tartaglia, James R. Kozloski
2017 J jnl
Dendritic spines modify action potential back-propagation in a multicompartment neuronal model.
IBM J. Res. Dev.
Tuan M. Hoang Trong, Sarah E. Motley, John Wagner, Robert R. Kerr, James R. Kozloski
2017 J jnl
Predicting cognitive states from wearable recordings of autonomic function.
IBM J. Res. Dev.
Elizabeth Webster, Noi Sukaviriya, Hung-Yang Chang, James R. Kozloski
2017 J jnl
Striatal Network Models of Huntington's Disease Dysfunction Phenotypes.
Frontiers Comput. Neurosci.
Pengsheng Zheng, James R. Kozloski
2017 C conf
Synaptic integrators implement inhibitory plasticity, eliminate loops and create a "winnerless" Network.
ISCAS
James R. Kozloski
2013 J jnl
Self-referential forces are sufficient to explain different dendritic morphologies.
Frontiers Neuroinformatics
Heraldo Memelli, Benjamin Torben-Nielsen, James R. Kozloski
2011 J jnl
An Ultrascalable Solution to Large-scale Neural Tissue Simulation.
Frontiers Neuroinformatics
James R. Kozloski, John Wagner
2011 J jnl
Automated Reconstruction of Neural Tissue and the Role of Large-Scale Simulation.
Neuroinformatics
James R. Kozloski
2011 — conf
The Computational Basis of Emotions and Implications for Cognitive Architectures.
BICA
Charles C. Peck, James R. Kozloski
2009 — conf
Cognitive Impairments, HCI and Daily Living.
HCI (5)
Simeon Keates, James R. Kozloski, Philip Varker
2008 B conf
Efficient segmentation in multi-layer oscillatory networks.
IJCNN
A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James R. Kozloski
2008 J jnl
Identifying, tabulating, and analyzing contacts between branched neuron morphologies.
IBM J. Res. Dev.
James R. Kozloski, Konstantinos Sfyrakis, Sean L. Hill, Felix Schürmann, Charles Peck, Henry Markram
2008 J jnl
Unsupervised Segmentation With Dynamical Units.
IEEE Trans. Neural Networks
A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James R. Kozloski
2007 — conf
Emergence of Topographic Cortical Maps in a Parameterless Local Competition Network.
ISNN (2)
A. Ravishankar Rao, Guillermo A. Cecchi, Charles Peck, James R. Kozloski
2007 — conf
Network-Related Challenges and Insights from Neuroscience.
BIOWIRE
Charles Peck, James R. Kozloski, Guillermo A. Cecchi, Sean L. Hill, Felix Schürmann, Henry Markram, Ravi Rao
2007 — conf
Topographic Infomax in a Neural Multigrid.
ISNN (2)
James R. Kozloski, Guillermo A. Cecchi, Charles Peck, A. Ravishankar Rao
2006 B conf
An optimization approach to achieve unsupervised segmentation and binding in a dynamical network.
IJCNN
A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James R. Kozloski
2006 — conf
Inference and segmentation in cortical processing.
Human Vision and Electronic Imaging
Yuan Liu, Guillermo A. Cecchi, A. Ravishankar Rao, James R. Kozloski, Charles C. Peck
2005 — conf
A model of the formation of a self-organized cortical representation of color.
Human Vision and Electronic Imaging
A. Ravishankar Rao, Guillermo A. Cecchi, Charles Peck, James R. Kozloski
2005 — conf
Evaluation of the Effect of Input Stimuli on the Quality of Orientation Maps Produced Through Self Organization.
SCIA
A. Ravishankar Rao, Guillermo A. Cecchi, Charles Peck, James R. Kozloski
2003 Misc conf
Simulation Infrastructure for Modeling Large Scale Neural Systems.
International Conference on Computational Science
Charles C. Peck, James R. Kozloski, A. Ravishankar Rao, Guillermo A. Cecchi