James R. Kozloski

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 19

Top Topics

Synaptic Plasticity

Top Venues

IBM J. Res. Dev.

Comput. Phys. Commun.

Publications

Takuya Ito, Soham Dan, Mattia Rigotti, James R. Kozloski, Murray Campbell
On the generalization capacity of neural networks during generic multimodal reasoning. ICLR (2024)
Ziji Zhang, Georgios Kementzidis, Peng Zhang, Leili Zhang, James R. Kozloski, Adam Hansen, Miriam Rafailovich, Marcia Simon, Yuefan Deng
Learning coarse-grained force fields for fibrogenesis modeling. Comput. Phys. Commun. 295 (2024)
Yicong Zhu, Changnian Han, Peng Zhang, Guojing Cong, James R. Kozloski, Chih-Chieh Yang, Leili Zhang, Yuefan Deng
AI-aided multiscale modeling of physiologically-significant blood clots. Comput. Phys. Commun. 287 (2023)
Changnian Han, Peng Zhang, Yicong Zhu, Guojing Cong, James R. Kozloski, Chih-Chieh Yang, Leili Zhang, Yuefan Deng
Scalable multiscale modeling of platelets with 100 million particles. J. Supercomput. 78 (18) (2022)
James Humble, James R. Kozloski
Cannabinoid signaling and risk in Huntington's disease. Frontiers Comput. Neurosci. 16 (2022)
Yicong Zhu, Changnian Han, Peng Zhang, Guojing Cong, James R. Kozloski, Chih-Chieh Yang, Leili Zhang, Yuefan Deng
AI-aided multiscale modeling of physiologically-significant blood clots. CoRR (2022)
Sébastien Naze, Jianbin Tang, James R. Kozloski, Stefan Harrer
Features importance in seizure classification using scalp EEG reduced to single timeseries. EMBC (2021)
German 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
Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks. Neural Comput. 33 (8) (2021)
Sébastien Naze, Timothée Proix, Selen Atasoy, James R. Kozloski
Robustness of connectome harmonics to local gray matter and long-range white matter connectivity changes. NeuroImage 224 (2021)
Jaimit Parikh, James R. Kozloski, Viatcheslav Gurev
Integration of AI and mechanistic modeling in generative adversarial networks for stochastic inverse problems. CoRR (2020)
Adam Ponzi, Scott J. Barton, Kendra D. Bunner, Claudia Rangel-Barajas, Emily S. Zhang, Benjamin R. Miller, George V. Rebec, James R. Kozloski
Striatal network modeling in Huntington's Disease. PLoS Comput. Biol. 16 (4) (2020)
Saurabh Sihag, Sébastien Naze, Foad Taghdiri, Charles Tator, Richard Wennberg, David J. Mikulis, Robin Green, Brenda Colella, Maria Carmela Tartaglia, James R. Kozloski
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 6 (2020)
Saurabh Sihag, Sébastien Naze, Foad Taghdiri, Maria Carmela Tartaglia, James R. Kozloski
GSP Analysis of Brain Imaging Data from Athletes with History of Multiple Concussions. GlobalSIP (2019)
Timothy H. Rumbell, James R. Kozloski
Dimensions of control for subthreshold oscillations and spontaneous firing in dopamine neurons. PLoS Comput. Biol. 15 (9) (2019)
Sébastien Naze, Vittorio Caggiano, Yinming Sun, Molly V. Lucas, Amit Etkin, James R. Kozloski
Classification of TMS evoked potentials using ERP time signatures and SVM versus deep learning. EMBC (2019)
Elizabeth Webster, Noi Sukaviriya, Hung-Yang Chang, James R. Kozloski
Predicting cognitive states from wearable recordings of autonomic function. IBM J. Res. Dev. 61 (2/3) (2017)
Tuan M. Hoang Trong, Sarah E. Motley, John Wagner, Robert R. Kerr, James R. Kozloski
Dendritic spines modify action potential back-propagation in a multicompartment neuronal model. IBM J. Res. Dev. 61 (2/3) (2017)
James R. Kozloski
Synaptic integrators implement inhibitory plasticity, eliminate loops and create a "winnerless" Network. ISCAS (2017)
Pengsheng Zheng, James R. Kozloski
Striatal Network Models of Huntington's Disease Dysfunction Phenotypes. Frontiers Comput. Neurosci. 11 (2017)
Heraldo Memelli, Benjamin Torben-Nielsen, James R. Kozloski
Self-referential forces are sufficient to explain different dendritic morphologies. Frontiers Neuroinformatics 7 (2013)
James R. Kozloski, John Wagner
An Ultrascalable Solution to Large-scale Neural Tissue Simulation. Frontiers Neuroinformatics 5 (2011)
Charles C. Peck, James R. Kozloski
The Computational Basis of Emotions and Implications for Cognitive Architectures. BICA (2011)
James R. Kozloski
Automated Reconstruction of Neural Tissue and the Role of Large-Scale Simulation. Neuroinformatics 9 (2-3) (2011)
Simeon Keates, James R. Kozloski, Philip Varker
Cognitive Impairments, HCI and Daily Living. HCI (5) (2009)
James R. Kozloski, Konstantinos Sfyrakis, Sean L. Hill, Felix Schürmann, Charles C. Peck, Henry Markram
Identifying, tabulating, and analyzing contacts between branched neuron morphologies. IBM J. Res. Dev. 52 (1-2) (2008)
A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James R. Kozloski
Unsupervised Segmentation With Dynamical Units. IEEE Trans. Neural Networks 19 (1) (2008)
A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James R. Kozloski
Efficient segmentation in multi-layer oscillatory networks. IJCNN (2008)
A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James R. Kozloski
Emergence of Topographic Cortical Maps in a Parameterless Local Competition Network. ISNN (2) (2007)
Charles C. Peck, James R. Kozloski, Guillermo A. Cecchi, Sean L. Hill, Felix Schürmann, Henry Markram, Ravi Rao
Network-Related Challenges and Insights from Neuroscience. BIOWIRE (2007)
James R. Kozloski, Guillermo A. Cecchi, Charles C. Peck, A. Ravishankar Rao
Topographic Infomax in a Neural Multigrid. ISNN (2) (2007)
A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James R. Kozloski
An optimization approach to achieve unsupervised segmentation and binding in a dynamical network. IJCNN (2006)
Yuan Liu, Guillermo A. Cecchi, A. Ravishankar Rao, James R. Kozloski, Charles C. Peck
Inference and segmentation in cortical processing. Human Vision and Electronic Imaging (2006)
A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James R. Kozloski
A model of the formation of a self-organized cortical representation of color. Human Vision and Electronic Imaging (2005)
A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James R. Kozloski
Evaluation of the Effect of Input Stimuli on the Quality of Orientation Maps Produced Through Self Organization. SCIA (2005)
Charles C. Peck, James R. Kozloski, A. Ravishankar Rao, Guillermo A. Cecchi
Simulation Infrastructure for Modeling Large Scale Neural Systems. International Conference on Computational Science (2003)