default search action
James R. Kozloski
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j17]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: 108964 (2024) - [c16]Takuya Ito, Soham Dan, Mattia Rigotti, James R. Kozloski, Murray Campbell:
On the generalization capacity of neural networks during generic multimodal reasoning. ICLR 2024 - [i3]Takuya Ito, Soham Dan, Mattia Rigotti, James R. Kozloski, Murray Campbell:
On the generalization capacity of neural networks during generic multimodal reasoning. CoRR abs/2401.15030 (2024) - 2023
- [j16]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: 108718 (2023) - 2022
- [j15]James Humble, James R. Kozloski:
Cannabinoid signaling and risk in Huntington's disease. Frontiers Comput. Neurosci. 16 (2022) - [j14]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): 19707-19724 (2022) - [i2]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 abs/2205.14121 (2022) - 2021
- [j13]Germán Abrevaya
Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks. Neural Comput. 33(8): 2087-2127 (2021) - [j12]Sébastien Naze, Timothée Proix
Robustness of connectome harmonics to local gray matter and long-range white matter connectivity changes. NeuroImage 224: 117364 (2021) - [c15]Sébastien Naze, Jianbin Tang, James R. Kozloski, Stefan Harrer
Features importance in seizure classification using scalp EEG reduced to single timeseries. EMBC 2021: 329-332 - 2020
- [j11]Adam Ponzi
Striatal network modeling in Huntington's Disease. PLoS Comput. Biol. 16(4) (2020) - [j10]Saurabh Sihag
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: 284-299 (2020) - [i1]Jaimit Parikh, James R. Kozloski, Viatcheslav Gurev:
Integration of AI and mechanistic modeling in generative adversarial networks for stochastic inverse problems. CoRR abs/2009.08267 (2020)
2010 – 2019
- 2019
- [j9]Timothy H. Rumbell
Dimensions of control for subthreshold oscillations and spontaneous firing in dopamine neurons. PLoS Comput. Biol. 15(9) (2019) - [c14]Sébastien Naze
Classification of TMS evoked potentials using ERP time signatures and SVM versus deep learning. EMBC 2019: 3539-3542 - [c13]Saurabh Sihag
GSP Analysis of Brain Imaging Data from Athletes with History of Multiple Concussions. GlobalSIP 2019: 1-5 - 2017
- [j8]Pengsheng Zheng, James R. Kozloski:
Striatal Network Models of Huntington's Disease Dysfunction Phenotypes. Frontiers Comput. Neurosci. 11: 70 (2017) - [j7]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): 2:1-2:11 (2017) - [j6]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): 11:1-11:13 (2017) - [c12]James R. Kozloski:
Synaptic integrators implement inhibitory plasticity, eliminate loops and create a "winnerless" Network. ISCAS 2017: 1-4 - 2013
- [j5]Heraldo Memelli
Self-referential forces are sufficient to explain different dendritic morphologies. Frontiers Neuroinformatics 7: 1 (2013) - 2011
- [j4]James R. Kozloski, John Wagner:
An Ultrascalable Solution to Large-scale Neural Tissue Simulation. Frontiers Neuroinformatics 5: 15 (2011) - [j3]James R. Kozloski:
Automated Reconstruction of Neural Tissue and the Role of Large-Scale Simulation. Neuroinformatics 9(2-3): 133-142 (2011) - [c11]Charles C. Peck, James R. Kozloski:
The Computational Basis of Emotions and Implications for Cognitive Architectures. BICA 2011: 269-281
2000 – 2009
- 2009
- [c10]Simeon Keates
Cognitive Impairments, HCI and Daily Living. HCI (5) 2009: 366-374 - 2008
- [j2]James R. Kozloski, Konstantinos Sfyrakis, Sean L. Hill
Identifying, tabulating, and analyzing contacts between branched neuron morphologies. IBM J. Res. Dev. 52(1-2): 43-56 (2008) - [j1]A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James R. Kozloski:
Unsupervised Segmentation With Dynamical Units. IEEE Trans. Neural Networks 19(1): 168-182 (2008) - [c9]A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James R. Kozloski:
Efficient segmentation in multi-layer oscillatory networks. IJCNN 2008: 2966-2973 - 2007
- [c8]Charles C. Peck, James R. Kozloski, Guillermo A. Cecchi, Sean L. Hill
Network-Related Challenges and Insights from Neuroscience. BIOWIRE 2007: 67-78 - [c7]James R. Kozloski, Guillermo A. Cecchi, Charles C. Peck, A. Ravishankar Rao:
Topographic Infomax in a Neural Multigrid. ISNN (2) 2007: 500-509 - [c6]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: 552-561 - 2006
- [c5]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: 60570Y - [c4]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: 4159-4166 - 2005
- [c3]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: 17-26 - [c2]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: 810-820 - 2003
- [c1]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: 1127-1136
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-04 20:17 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: