Simulation Infrastructure for Modeling Large Scale Neural Systems. - Charles C. Peck; James R. Kozloski; A. Ravishankar Rao; Guillermo A. Cecchi (International Conference on Computational Science, 2003)

A model of the formation of a self-organized cortical representation of color. - A. Ravishankar Rao; Guillermo A. Cecchi; Charles Peck 001; James R. Kozloski (Human Vision and Electronic Imaging, 2005)

Evaluation of the Effect of Input Stimuli on the Quality of Orientation Maps Produced Through Self Organization. - A. Ravishankar Rao; Guillermo A. Cecchi; Charles Peck 001; James R. Kozloski (SCIA, 2005)

Inference and segmentation in cortical processing. - Yuan Liu; Guillermo A. Cecchi; A. Ravishankar Rao; James R. Kozloski; Charles C. Peck (Human Vision and Electronic Imaging, 2006)

An optimization approach to achieve unsupervised segmentation and binding in a dynamical network. - A. Ravishankar Rao; Guillermo A. Cecchi; Charles C. Peck; James R. Kozloski (IJCNN, 2006)

Network-Related Challenges and Insights from Neuroscience. - Charles Peck 001; James R. Kozloski; Guillermo A. Cecchi; Sean L. Hill; Felix Schürmann; Henry Markram; Ravi Rao (BIOWIRE, 2007)

Topographic Infomax in a Neural Multigrid. - James R. Kozloski; Guillermo A. Cecchi; Charles Peck 001; A. Ravishankar Rao (ISNN (2), 2007)

Emergence of Topographic Cortical Maps in a Parameterless Local Competition Network. - A. Ravishankar Rao; Guillermo A. Cecchi; Charles Peck 001; James R. Kozloski (ISNN (2), 2007)

Efficient segmentation in multi-layer oscillatory networks. - A. Ravishankar Rao; Guillermo A. Cecchi; Charles C. Peck; James R. Kozloski (IJCNN, 2008)

Identifying, tabulating, and analyzing contacts between branched neuron morphologies. - James R. Kozloski; Konstantinos Sfyrakis; Sean L. Hill; Felix Schürmann; Charles Peck 001; Henry Markram (IBM J. Res. Dev., 2008)

Unsupervised Segmentation With Dynamical Units. - A. Ravishankar Rao; Guillermo A. Cecchi; Charles C. Peck; James R. Kozloski (IEEE Trans. Neural Networks, 2008)

Cognitive Impairments, HCI and Daily Living. - Simeon Keates; James R. Kozloski; Philip Varker (HCI (5), 2009)

The Computational Basis of Emotions and Implications for Cognitive Architectures. - Charles C. Peck; James R. Kozloski (BICA, 2011)

An Ultrascalable Solution to Large-scale Neural Tissue Simulation. - James R. Kozloski; John Wagner (Frontiers Neuroinformatics, 2011)

Automated Reconstruction of Neural Tissue and the Role of Large-Scale Simulation. - James R. Kozloski (Neuroinformatics, 2011)

Self-referential forces are sufficient to explain different dendritic morphologies. - Heraldo Memelli; Benjamin Torben-Nielsen; James R. Kozloski (Frontiers Neuroinformatics, 2013)

Synaptic integrators implement inhibitory plasticity, eliminate loops and create a "winnerless" Network. - James R. Kozloski (ISCAS, 2017)

Striatal Network Models of Huntington's Disease Dysfunction Phenotypes. - Pengsheng Zheng; James R. Kozloski (Frontiers Comput. Neurosci., 2017)

Dendritic spines modify action potential back-propagation in a multicompartment neuronal model. - Tuan M. Hoang Trong; Sarah E. Motley; John Wagner; Robert R. Kerr; James R. Kozloski (IBM J. Res. Dev., 2017)

Predicting cognitive states from wearable recordings of autonomic function. - Elizabeth Webster; Noi Sukaviriya; Hung-Yang Chang; James R. Kozloski (IBM J. Res. Dev., 2017)

Classification of TMS evoked potentials using ERP time signatures and SVM versus deep learning. - Sébastien Naze; Vittorio Caggiano; Yinming Sun; Molly V. Lucas; Amit Etkin; James R. Kozloski (EMBC, 2019)

GSP Analysis of Brain Imaging Data from Athletes with History of Multiple Concussions. - Saurabh Sihag; Sébastien Naze; Foad Taghdiri; Maria Carmela Tartaglia; James R. Kozloski (GlobalSIP, 2019)

Dimensions of control for subthreshold oscillations and spontaneous firing in dopamine neurons. - Timothy H. Rumbell; James R. Kozloski (PLoS Comput. Biol., 2019)

Integration of AI and mechanistic modeling in generative adversarial networks for stochastic inverse problems. - Jaimit Parikh; James R. Kozloski; Viatcheslav Gurev (CoRR, 2020)

Striatal network modeling in Huntington's Disease. - Adam Ponzi; Scott J. Barton; Kendra D. Bunner; Claudia Rangel-Barajas; Emily S. Zhang; Benjamin R. Miller; George V. Rebec; James R. Kozloski (PLoS Comput. Biol., 2020)

Multimodal Dynamic Brain Connectivity Analysis Based on Graph Signal Processing for Former Athletes With History of Multiple Concussions. - Saurabh Sihag; Sébastien Naze; Foad Taghdiri; Charles Tator; Richard Wennberg; David J. Mikulis; Robin Green; Brenda Colella; Maria Carmela Tartaglia; James R. Kozloski (IEEE Trans. Signal Inf. Process. over Networks, 2020)

Features importance in seizure classification using scalp EEG reduced to single timeseries. - Sébastien Naze; Jianbin Tang; James R. Kozloski; Stefan Harrer (EMBC, 2021)

Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks. - Germán Abrevaya; Guillaume Dumas; Aleksandr Y. Aravkin; Peng Zheng 002; Jean-Christophe Gagnon-Audet; James R. Kozloski; Pablo Polosecki; Guillaume Lajoie; David D. Cox; Silvina Ponce Dawson; Guillermo A. Cecchi; Irina Rish (Neural Comput., 2021)

Robustness of connectome harmonics to local gray matter and long-range white matter connectivity changes. - Sébastien Naze; Timothée Proix; Selen Atasoy; James R. Kozloski (NeuroImage, 2021)

Cannabinoid signaling and risk in Huntington's disease. - James Humble; James R. Kozloski (Frontiers Comput. Neurosci., 2022)

Scalable multiscale modeling of platelets with 100 million particles. - Changnian Han; Peng Zhang; Yicong Zhu; Guojing Cong; James R. Kozloski; Chih-Chieh Yang; Leili Zhang; Yuefan Deng (J. Supercomput., 2022)

AI-aided multiscale modeling of physiologically-significant blood clots. - Yicong Zhu; Changnian Han; Peng Zhang; Guojing Cong; James R. Kozloski; Chih-Chieh Yang; Leili Zhang; Yuefan Deng (Comput. Phys. Commun., 2023)

On the generalization capacity of neural networks during generic multimodal reasoning. - Takuya Ito; Soham Dan; Mattia Rigotti; James R. Kozloski; Murray Campbell (ICLR, 2024)

Learning coarse-grained force fields for fibrogenesis modeling. - Ziji Zhang; Georgios Kementzidis; Peng Zhang 006; Leili Zhang; James R. Kozloski; Adam Hansen; Miriam Rafailovich; Marcia Simon; Yuefan Deng (Comput. Phys. Commun., 2024)