Year |
Citation |
Score |
2024 |
Piet A, Ponvert N, Ollerenshaw D, Garrett M, Groblewski PA, Olsen S, Koch C, Arkhipov A. Behavioral strategy shapes activation of the Vip-Sst disinhibitory circuit in visual cortex. Neuron. PMID 38447579 DOI: 10.1016/j.neuron.2024.02.008 |
0.649 |
|
2023 |
Ito S, Piet A, Bennett C, Durand S, Belski H, Garrett M, Olsen SR, Arkhipov A. Coordinated changes in a cortical circuit sculpt effects of novelty on neural dynamics. Biorxiv : the Preprint Server For Biology. PMID 37961331 DOI: 10.1101/2023.10.21.563440 |
0.671 |
|
2020 |
Billeh YN, Cai B, Gratiy SL, Dai K, Iyer R, Gouwens NW, Abbasi-Asl R, Jia X, Siegle JH, Olsen SR, Koch C, Mihalas S, Arkhipov A. Systematic Integration of Structural and Functional Data into Multi-scale Models of Mouse Primary Visual Cortex. Neuron. PMID 32142648 DOI: 10.1016/J.Neuron.2020.01.040 |
0.417 |
|
2020 |
Dai K, Hernando J, Billeh YN, Gratiy SL, Planas J, Davison AP, Dura-Bernal S, Gleeson P, Devresse A, Dichter BK, Gevaert M, King JG, Van Geit WAH, Povolotsky AV, Muller E, ... ... Arkhipov A, et al. The SONATA data format for efficient description of large-scale network models. Plos Computational Biology. 16: e1007696. PMID 32092054 DOI: 10.1371/Journal.Pcbi.1007696 |
0.621 |
|
2019 |
Gouwens NW, Sorensen SA, Berg J, Lee C, Jarsky T, Ting J, Sunkin SM, Feng D, Anastassiou CA, Barkan E, Bickley K, Blesie N, Braun T, Brouner K, Budzillo A, ... ... Arkhipov A, et al. Classification of electrophysiological and morphological neuron types in the mouse visual cortex. Nature Neuroscience. PMID 31209381 DOI: 10.1038/S41593-019-0417-0 |
0.305 |
|
2018 |
Arkhipov A, Gouwens NW, Billeh YN, Gratiy S, Iyer R, Wei Z, Xu Z, Abbasi-Asl R, Berg J, Buice M, Cain N, da Costa N, de Vries S, Denman D, Durand S, et al. Visual physiology of the layer 4 cortical circuit in silico. Plos Computational Biology. 14: e1006535. PMID 30419013 DOI: 10.1371/Journal.Pcbi.1006535 |
0.617 |
|
2018 |
Gratiy SL, Billeh YN, Dai K, Mitelut C, Feng D, Gouwens NW, Cain N, Koch C, Anastassiou CA, Arkhipov A. BioNet: A Python interface to NEURON for modeling large-scale networks. Plos One. 13: e0201630. PMID 30071069 DOI: 10.1371/Journal.Pone.0201630 |
0.365 |
|
2018 |
Gouwens NW, Berg J, Feng D, Sorensen SA, Zeng H, Hawrylycz MJ, Koch C, Arkhipov A. Systematic generation of biophysically detailed models for diverse cortical neuron types. Nature Communications. 9: 710. PMID 29459718 DOI: 10.1038/S41467-017-02718-3 |
0.39 |
|
2016 |
Hawrylycz M, Anastassiou C, Arkhipov A, Berg J, Buice M, Cain N, Gouwens NW, Gratiy S, Iyer R, Lee JH, Mihalas S, Mitelut C, Olsen S, Reid RC, Teeter C, et al. Inferring cortical function in the mouse visual system through large-scale systems neuroscience. Proceedings of the National Academy of Sciences of the United States of America. 113: 7337-44. PMID 27382147 DOI: 10.1073/Pnas.1512901113 |
0.395 |
|
2015 |
Wu Z, Yu H, Arkhipov A, Yin Y, Schulten K. How Synaptotagmin I, N-BAR and F-BAR Domains Generate Membrane Curvature Biophysical Journal. 108: 555a. DOI: 10.1016/J.Bpj.2014.11.3046 |
0.302 |
|
2014 |
Arkhipov A, Shan Y, Kim ET, Shaw DE. Membrane interaction of bound ligands contributes to the negative binding cooperativity of the EGF receptor. Plos Computational Biology. 10: e1003742. PMID 25058506 DOI: 10.1371/Journal.Pcbi.1003742 |
0.3 |
|
2013 |
Arkhipov A, Shan Y, Das R, Endres NF, Eastwood MP, Wemmer DE, Kuriyan J, Shaw DE. Architecture and membrane interactions of the EGF receptor. Cell. 152: 557-69. PMID 23374350 DOI: 10.1016/J.Cell.2012.12.030 |
0.308 |
|
2010 |
Roos WH, Gibbons MM, Arkhipov A, Uetrecht C, Watts NR, Wingfield PT, Steven AC, Heck AJ, Schulten K, Klug WS, Wuite GJ. Squeezing protein shells: how continuum elastic models, molecular dynamics simulations, and experiments coalesce at the nanoscale. Biophysical Journal. 99: 1175-81. PMID 20713001 DOI: 10.1016/J.Bpj.2010.05.033 |
0.346 |
|
2009 |
Arkhipov AS, Roos W, Wuite G, Schulten K. Coarse-grained Simulations and AFM Nanoindentation Experiments on a Hepatitis B Virus Capsid Biophysical Journal. 96: 423a. DOI: 10.1016/J.Bpj.2008.12.2164 |
0.33 |
|
2008 |
Hsin J, Arkhipov A, Yin Y, Stone JE, Schulten K. Using VMD: An introductory tutorial Current Protocols in Bioinformatics. 5.7.1-5.7.48. PMID 19085979 DOI: 10.1002/0471250953.Bi0507S24 |
0.341 |
|
2008 |
Shih AY, Freddolino PL, Arkhipov A, Sligar SG, Schulten K. Chapter 11 Molecular Modeling of the Structural Properties and Formation of High-Density Lipoprotein Particles Current Topics in Membranes. 60: 313-342. DOI: 10.1016/S1063-5823(08)00011-2 |
0.31 |
|
2006 |
Arkhipov A, Freddolino PL, Schulten K. Stability and dynamics of virus capsids described by coarse-grained modeling. Structure (London, England : 1993). 14: 1767-77. PMID 17161367 DOI: 10.1016/J.Str.2006.10.003 |
0.302 |
|
2006 |
Arkhipov A, Freddolino PL, Imada K, Namba K, Schulten K. Coarse-grained molecular dynamics simulations of a rotating bacterial flagellum. Biophysical Journal. 91: 4589-97. PMID 16997871 DOI: 10.1529/Biophysj.106.093443 |
0.306 |
|
2006 |
Lu D, Aksimentiev A, Shih AY, Cruz-Chu E, Freddolino PL, Arkhipov A, Schulten K. The role of molecular modeling in bionanotechnology. Physical Biology. 3: S40-53. PMID 16582464 DOI: 10.1088/1478-3975/3/1/S05 |
0.316 |
|
2006 |
Shih AY, Arkhipov A, Freddolino PL, Schulten K. Coarse grained protein-lipid model with application to lipoprotein particles. The Journal of Physical Chemistry. B. 110: 3674-84. PMID 16494423 DOI: 10.1021/Jp0550816 |
0.325 |
|
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