| Year |
Citation |
Score |
| 2019 |
Rumbell T, Kozloski J. Dimensions of control for subthreshold oscillations and spontaneous firing in dopamine neurons. Plos Computational Biology. 15: e1007375. PMID 31545787 DOI: 10.1371/journal.pcbi.1007375 |
0.346 |
|
| 2019 |
Octeau JC, Gangwani MR, Allam SL, Tran D, Huang S, Hoang-Trong TM, Golshani P, Rumbell TH, Kozloski JR, Khakh BS. Transient, Consequential Increases in Extracellular Potassium Ions Accompany Channelrhodopsin2 Excitation. Cell Reports. 27: 2249-2261.e7. PMID 31116972 DOI: 10.1016/J.Celrep.2019.04.078 |
0.373 |
|
| 2017 |
Trong TMH, Motley SE, Wagner J, Kerr RR, Kozloski J. Dendritic spines modify action potential back-propagation in a multicompartment neuronal model Ibm Journal of Research and Development. 61: 11:1-11:13. DOI: 10.1147/JRD.2017.2679558 |
0.461 |
|
| 2014 |
Kozloski J, Wagner J, Memelli H, Gurev V. A large-scale physiological model of Inferior Olive neurons reveals climbing fiber intra-burst frequency depends on Olivocerebellar axon morphology Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P149 |
0.308 |
|
| 2013 |
Memelli H, Torben-Nielsen B, Kozloski J. Self-referential forces are sufficient to explain different dendritic morphologies. Frontiers in Neuroinformatics. 7: 1. PMID 23386828 DOI: 10.3389/fninf.2013.00001 |
0.429 |
|
| 2010 |
Kozloski J, Cecchi GA. A theory of loop formation and elimination by spike timing-dependent plasticity. Frontiers in Neural Circuits. 4: 7. PMID 20407633 DOI: 10.3389/fncir.2010.00007 |
0.305 |
|
| 2008 |
Kozloski J, Sfyrakis K, Hill S, Schürmann F, Peck C, Markram H. Identifying, tabulating, and analyzing contacts between branched neuron morphologies Ibm Journal of Research and Development. 52: 43-56. DOI: 10.1147/Rd.521.0043 |
0.383 |
|
| 2002 |
Suzuki A, Kozloski J, Crawford JD. Temporal encoding for auditory computation: physiology of primary afferent neurons in sound-producing fish. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 22: 6290-301. PMID 12122088 DOI: 10.1523/Jneurosci.22-14-06290.2002 |
0.578 |
|
| 2001 |
Kozloski J, Hamzei-Sichani F, Yuste R. Stereotyped position of local synaptic targets in neocortex. Science (New York, N.Y.). 293: 868-72. PMID 11486089 DOI: 10.1126/science.293.5531.868 |
0.604 |
|
| 2000 |
Peterlin ZA, Kozloski J, Mao BQ, Tsiola A, Yuste R. Optical probing of neuronal circuits with calcium indicators. Proceedings of the National Academy of Sciences of the United States of America. 97: 3619-24. PMID 10737806 DOI: 10.1073/pnas.97.7.3619 |
0.417 |
|
| 2000 |
Kozloski J, Crawford JD. Transformations of an auditory temporal code in the medulla of a sound-producing fish. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 20: 2400-8. PMID 10704514 DOI: 10.1523/Jneurosci.20-06-02400.2000 |
0.621 |
|
| 1998 |
Kozloski J, Crawford JD. Functional neuroanatomy of auditory pathways in the sound-producing fish Pollimyrus. The Journal of Comparative Neurology. 401: 227-52. PMID 9822151 DOI: 10.1002/(Sici)1096-9861(19981116)401:2<227::Aid-Cne6>3.0.Co;2-R |
0.539 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 2021 |
Allam SL, Rumbell TH, Hoang-Trong T, Parikh J, Kozloski JR. Neuronal population models reveal specific linear conductance controllers sufficient to rescue preclinical disease phenotypes. Iscience. 24: 103279. PMID 34778727 DOI: 10.1016/j.isci.2021.103279 |
0.256 |
|
| 2022 |
Humble J, Kozloski JR. Cannabinoid signaling and risk in Huntington's disease. Frontiers in Computational Neuroscience. 16: 903947. PMID 36118134 DOI: 10.3389/fncom.2022.903947 |
0.212 |
|
| 2020 |
Ponzi A, Barton SJ, Bunner KD, Rangel-Barajas C, Zhang ES, Miller BR, Rebec GV, Kozloski J. Striatal network modeling in Huntington's Disease. Plos Computational Biology. 16: e1007648. PMID 32302302 DOI: 10.1371/journal.pcbi.1007648 |
0.197 |
|
| 2019 |
Naze S, Caggiano V, Sun Y, Lucas MV, Etkin A, Kozloski JR. Classification of TMS evoked potentials using ERP time signatures and SVM versus deep learning. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2019: 3539-3542. PMID 31946642 DOI: 10.1109/EMBC.2019.8857583 |
0.192 |
|
| 2018 |
Naze S, Humble J, Zheng P, Barton S, Rangel-Barajas C, Rebec GV, Kozloski JR. Cortico-Striatal Cross-Frequency Coupling and Gamma Genesis Disruptions in Huntington's Disease Mouse and Computational Models. Eneuro. 5. PMID 30627632 DOI: 10.1523/ENEURO.0210-18.2018 |
0.179 |
|
| 2016 |
Kozloski J. Closed-Loop Brain Model of Neocortical Information-Based Exchange. Frontiers in Neuroanatomy. 10: 3. PMID 26834573 DOI: 10.3389/fnana.2016.00003 |
0.169 |
|
| 2021 |
Parikh J, Rumbell T, Butova X, Myachina T, Acero JC, Khamzin S, Solovyova O, Kozloski J, Khokhlova A, Gurev V. Generative adversarial networks for construction of virtual populations of mechanistic models: simulations to study Omecamtiv Mecarbil action. Journal of Pharmacokinetics and Pharmacodynamics. PMID 34716531 DOI: 10.1007/s10928-021-09787-4 |
0.148 |
|
| 2021 |
Abrevaya G, Dumas G, Aravkin AY, Zheng P, Gagnon-Audet JC, Kozloski J, Polosecki P, Lajoie G, Cox D, Dawson SP, Cecchi G, Rish I. Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks. Neural Computation. 33: 2087-2127. PMID 34310676 DOI: 10.1162/neco_a_01401 |
0.146 |
|
| 2020 |
Naze S, Proix T, Atasoy S, Kozloski JR. Robustness of connectome harmonics to local gray matter and long-range white matter connectivity changes. Neuroimage. 224: 117364. PMID 32947015 DOI: 10.1016/J.Neuroimage.2020.117364 |
0.143 |
|
| 2017 |
Zheng P, Kozloski J. Striatal Network Models of Huntington's Disease Dysfunction Phenotypes. Frontiers in Computational Neuroscience. 11: 70. PMID 28798680 DOI: 10.3389/fncom.2017.00070 |
0.137 |
|
| 2007 |
Kozloski J, Cecchi G, Peck C, Ravishankar Rao A. Topographic infomax in a neural multigrid Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4492: 500-509. |
0.127 |
|
| 2011 |
Kozloski J. Automated reconstruction of neural tissue and the role of large-scale simulation. Neuroinformatics. 9: 133-42. PMID 21537878 DOI: 10.1007/s12021-011-9114-1 |
0.112 |
|
| 2008 |
Rao AR, Cecchi GA, Peck CC, Kozloski JR. Unsupervised segmentation with dynamical units. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 19: 168-82. PMID 18269948 DOI: 10.1109/TNN.2007.905852 |
0.107 |
|
| 2005 |
Rao AR, Cecchi G, Peck C, Kozloski J. A model of the formation of a self-organized cortical representation of color Proceedings of Spie - the International Society For Optical Engineering. 5666: 17-26. DOI: 10.1117/12.585526 |
0.103 |
|
| 2020 |
Di Achille P, Parikh J, Khamzin S, Solovyova O, Kozloski J, Gurev V. Model order reduction for left ventricular mechanics via congruency training. Plos One. 15: e0219876. PMID 31905197 DOI: 10.1371/journal.pone.0219876 |
0.1 |
|
| 2005 |
Rao AR, Cecchi G, Peck C, Kozloski J. Evaluation of the effect of input stimuli on the quality of orientation maps produced through self organization Lecture Notes in Computer Science. 3540: 810-820. |
0.098 |
|
| 2006 |
Liu Y, Cecchi GA, Rao AR, Kozloski J, Peck CC. Inference and segmentation in cortical processing Proceedings of Spie - the International Society For Optical Engineering. 6057. DOI: 10.1117/12.650804 |
0.092 |
|
| 2007 |
Ravishankar Rao A, Cecchi G, Peck C, Kozloski J. Emergence of topographic cortical maps in a parameterless local competition network Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4492: 552-561. |
0.092 |
|
| 2023 |
Rumbell T, Parikh J, Kozloski J, Gurev V. Novel and flexible parameter estimation methods for data-consistent inversion in mechanistic modelling. Royal Society Open Science. 10: 230668. PMID 38026012 DOI: 10.1098/rsos.230668 |
0.071 |
|
| 2019 |
Parikh J, Di Achille P, Kozloski J, Gurev V. Global Sensitivity Analysis of Ventricular Myocyte Model-Derived Metrics for Proarrhythmic Risk Assessment. Frontiers in Pharmacology. 10: 1054. PMID 31680938 DOI: 10.3389/fphar.2019.01054 |
0.071 |
|
| 2013 |
Kozloski J, Gurev V. Full-scale structural model of the Inferior Olive and Olivocerebellar projection constructed from constraining meshes and directed growth Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P190 |
0.068 |
|
| 2003 |
Peck CC, Kozloski J, Rao AR, Cecchi GA. Simulation infrastructure for modeling large scale neural systems Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2660: 1127-1136. |
0.064 |
|
| 2017 |
Webster E, Sukaviriya N, Chang H, Kozloski J. Predicting cognitive states from wearable recordings of autonomic function Ibm Journal of Research and Development. 61: 2:1-2:11. DOI: 10.1147/JRD.2017.2648698 |
0.064 |
|
| 2022 |
Sihag S, Naze S, Taghdiri F, Gumus M, Tator C, Green R, Colella B, Blennow K, Zetterberg H, Dominguez LG, Wennberg R, Mikulis DJ, Tartaglia MC, Kozloski JR. Functional brain activity constrained by structural connectivity reveals cohort-specific features for serum neurofilament light chain. Communications Medicine. 2: 8. PMID 35603281 DOI: 10.1038/s43856-021-00065-5 |
0.062 |
|
| 2021 |
Naze S, Tang J, Kozloski JR, Harrer S. Features importance in seizure classification using scalp EEG reduced to single timeseries. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2021: 329-332. PMID 34891302 DOI: 10.1109/EMBC46164.2021.9630398 |
0.059 |
|
| 2011 |
Kozloski J, Wagner J. An Ultrascalable Solution to Large-scale Neural Tissue Simulation. Frontiers in Neuroinformatics. 5: 15. PMID 21954383 DOI: 10.3389/fninf.2011.00015 |
0.058 |
|
| 2008 |
Peck C, Kozloski J, Cecchi G, Hill S, Schürmann F, Markram H, Rao R. Network-related challenges and insights from neuroscience Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5151: 67-78. DOI: 10.1007/978-3-540-92191-2_7 |
0.039 |
|
| 2006 |
Ravishankar Rao A, Cecchi GA, Peck CC, Kozloski JR. Translation invariance in a network of oscillatory units Proceedings of Spie - the International Society For Optical Engineering. 6064. DOI: 10.1117/12.648229 |
0.034 |
|
| 2006 |
Ravishankar Rao A, Cecchi GA, Peck CC, Kozloski JR. An optimization approach to achieve unsupervised segmentation and binding in a dynamical network Ieee International Conference On Neural Networks - Conference Proceedings. 4159-4166. |
0.029 |
|
| 2008 |
Ravishankar Rao A, Cecchi GA, Peck CC, Kozloski JR. Efficient segmentation in multi-layer oscillatory networks Proceedings of the International Joint Conference On Neural Networks. 2966-2973. DOI: 10.1109/IJCNN.2008.4634215 |
0.028 |
|
| 1994 |
Ellis NA, Roe AM, Kozloski J, Proytcheva M, Falk C, German J. Linkage disequilibrium between the FES, D15S127, and BLM loci in Ashkenazi Jews with Bloom syndrome. American Journal of Human Genetics. 55: 453-60. PMID 8079989 |
0.023 |
|
| 2011 |
Peck CC, Kozloski J. The computational basis of emotions and implications for cognitive architectures Frontiers in Artificial Intelligence and Applications. 233: 269-281. DOI: 10.3233/978-1-60750-959-2-269 |
0.021 |
|
| 1985 |
Kozloski J, German C, Zuman P. SIMULTANEOUS DETERMINATION OF PYRUVIC, alpha -KETOGLUTARIC AND OXALACETIC ACIDS Electrochemical Society Extended Abstracts. 85: 880. |
0.016 |
|
| 2009 |
Keates S, Kozloski J, Varker P. Cognitive impairments, HCI and daily living Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5614: 366-374. DOI: 10.1007/978-3-642-02707-9_42 |
0.01 |
|
| Hide low-probability matches. |