Year |
Citation |
Score |
2021 |
Zhang C, Zhang D, Stepanyants A. Noise in neurons and synapses enables reliable associative memory storage in local cortical circuits. Eneuro. PMID 33408153 DOI: 10.1523/ENEURO.0302-20.2020 |
0.442 |
|
2019 |
Zhang D, Zhang C, Stepanyants A. Robust associative learning is sufficient to explain the structural and dynamical properties of local cortical circuits. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 31270161 DOI: 10.1523/JNEUROSCI.3218-18.2019 |
0.541 |
|
2017 |
Gala R, Lebrecht D, Sahlender DA, Jorstad A, Knott G, Holtmaat A, Stepanyants A. Computer assisted detection of axonal bouton structural plasticity in in vivo time-lapse images. Elife. 6. PMID 29058678 DOI: 10.7554/Elife.29315 |
0.698 |
|
2017 |
Gala R, Lebrecht D, Sahlender DA, Jorstad A, Knott G, Holtmaat A, Stepanyants A. Author response: Computer assisted detection of axonal bouton structural plasticity in in vivo time-lapse images Elife. DOI: 10.7554/Elife.29315.018 |
0.697 |
|
2016 |
Mizusaki BE, Stepanyants A, Chklovskii DB, Sjöström PJ. Neocortex: a lean mean memory storage machine. Nature Neuroscience. 19: 643-4. PMID 27116387 DOI: 10.1038/nn.4292 |
0.505 |
|
2015 |
Chapeton J, Gala R, Stepanyants A. Effects of homeostatic constraints on associative memory storage and synaptic connectivity of cortical circuits. Frontiers in Computational Neuroscience. 9: 74. PMID 26150784 DOI: 10.3389/Fncom.2015.00074 |
0.803 |
|
2015 |
Chapeton J, Gala R, Stepanyants A. Effects of homeostatic constraints on associative memory storage and synaptic connectivity of cortical circuits Frontiers in Computational Neuroscience. 9. DOI: 10.3389/fncom.2015.00074 |
0.754 |
|
2014 |
Gala R, Chapeton J, Jitesh J, Bhavsar C, Stepanyants A. Active learning of neuron morphology for accurate automated tracing of neurites. Frontiers in Neuroanatomy. 8: 37. PMID 24904306 DOI: 10.3389/Fnana.2014.00037 |
0.672 |
|
2012 |
Chapeton J, Fares T, LaSota D, Stepanyants A. Efficient associative memory storage in cortical circuits of inhibitory and excitatory neurons. Proceedings of the National Academy of Sciences of the United States of America. 109: E3614-22. PMID 23213221 DOI: 10.1073/Pnas.1211467109 |
0.736 |
|
2011 |
Stepanyants A, Escobar G. Statistical traces of long-term memories stored in strengths and patterns of synaptic connections. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 31: 7657-69. PMID 21613479 DOI: 10.1523/JNEUROSCI.0255-11.2011 |
0.718 |
|
2011 |
Chothani P, Mehta V, Stepanyants A. Automated tracing of neurites from light microscopy stacks of images. Neuroinformatics. 9: 263-78. PMID 21562803 DOI: 10.1007/s12021-011-9121-2 |
0.458 |
|
2009 |
Fares T, Stepanyants A. Cooperative synapse formation in the neocortex. Proceedings of the National Academy of Sciences of the United States of America. 106: 16463-8. PMID 19805321 DOI: 10.1186/1471-2202-10-S1-O19 |
0.745 |
|
2009 |
Wen Q, Stepanyants A, Elston GN, Grosberg AY, Chklovskii DB. Maximization of the connectivity repertoire as a statistical principle governing the shapes of dendritic arbors. Proceedings of the National Academy of Sciences of the United States of America. 106: 12536-41. PMID 19622738 DOI: 10.1073/Pnas.0901530106 |
0.678 |
|
2009 |
Stepanyants A, Martinez LM, Ferecskó AS, Kisvárday ZF. The fractions of short- and long-range connections in the visual cortex. Proceedings of the National Academy of Sciences of the United States of America. 106: 3555-60. PMID 19221032 DOI: 10.1073/pnas.0810390106 |
0.687 |
|
2009 |
Vasilkoski Z, Stepanyants A. Detection of the optimal neuron traces in confocal microscopy images. Journal of Neuroscience Methods. 178: 197-204. PMID 19059434 DOI: 10.1016/j.jneumeth.2008.11.008 |
0.477 |
|
2008 |
Escobar G, Fares T, Stepanyants A. Structural plasticity of circuits in cortical neuropil. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 28: 8477-88. PMID 18716206 DOI: 10.1523/Jneurosci.2046-08.2008 |
0.735 |
|
2008 |
Stepanyants A, Hirsch JA, Martinez LM, Kisvárday ZF, Ferecskó AS, Chklovskii DB. Local potential connectivity in cat primary visual cortex. Cerebral Cortex (New York, N.Y. : 1991). 18: 13-28. PMID 17420172 DOI: 10.1093/cercor/bhm027 |
0.717 |
|
2005 |
Stepanyants A, Chklovskii DB. Neurogeometry and potential synaptic connectivity. Trends in Neurosciences. 28: 387-94. PMID 15935485 DOI: 10.1016/j.tins.2005.05.006 |
0.712 |
|
2005 |
Shepherd GM, Stepanyants A, Bureau I, Chklovskii D, Svoboda K. Geometric and functional organization of cortical circuits. Nature Neuroscience. 8: 782-90. PMID 15880111 DOI: 10.1038/nn1447 |
0.813 |
|
2004 |
Stepanyants A, Tamás G, Chklovskii DB. Class-specific features of neuronal wiring. Neuron. 43: 251-9. PMID 15260960 DOI: 10.1016/j.neuron.2004.06.013 |
0.602 |
|
2004 |
Stepanyants A, Tamás G, Chklovskii DB. Are spatial positions of dendritic and axonal branches correlated or independent? Neurocomputing. 58: 477-485. DOI: 10.1016/j.neucom.2004.01.084 |
0.504 |
|
2003 |
Chklovskii DB, Stepanyants A. Power-law for axon diameters at branch point. Bmc Neuroscience. 4: 18. PMID 12946281 DOI: 10.1186/1471-2202-4-18 |
0.407 |
|
2002 |
Stepanyants A, Hof PR, Chklovskii DB. Geometry and structural plasticity of synaptic connectivity. Neuron. 34: 275-88. PMID 11970869 DOI: 10.1016/S0896-6273(02)00652-9 |
0.593 |
|
2002 |
Stepanyants A, Hof PR, Chklovskii DB. Information storage capacity of synaptic connectivity patterns Neurocomputing. 44: 661-665. DOI: 10.1016/S0925-2312(02)00454-X |
0.599 |
|
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