Year |
Citation |
Score |
2021 |
Schönsberg F, Roudi Y, Treves A. Efficiency of Local Learning Rules in Threshold-Linear Associative Networks. Physical Review Letters. 126: 018301. PMID 33480759 DOI: 10.1103/PhysRevLett.126.018301 |
0.467 |
|
2020 |
Tombaz T, Dunn BA, Hovde K, Cubero RJ, Mimica B, Mamidanna P, Roudi Y, Whitlock JR. Action representation in the mouse parieto-frontal network. Scientific Reports. 10: 5559. PMID 32221342 DOI: 10.1038/S41598-020-62089-6 |
0.75 |
|
2020 |
Cubero RJ, Marsili M, Roudi Y. Multiscale relevance and informative encoding in neuronal spike trains. Journal of Computational Neuroscience. PMID 31993923 DOI: 10.1007/s10827-020-00740-x |
0.781 |
|
2019 |
Monsalve-Mercado MM, Roudi Y. Hippocampal spike-time correlations and place field overlaps during open field foraging. Hippocampus. PMID 31675168 DOI: 10.1002/hipo.23173 |
0.349 |
|
2019 |
Cubero RJ, Jo J, Marsili M, Roudi Y, Song J. Statistical criticality arises in most informative representations Journal of Statistical Mechanics: Theory and Experiment. 2019: 063402. DOI: 10.1088/1742-5468/ab16c8 |
0.762 |
|
2018 |
Cubero RJ, Marsili M, Roudi Y. Minimum Description Length Codes Are Critical. Entropy (Basel, Switzerland). 20. PMID 33265844 DOI: 10.3390/e20100755 |
0.761 |
|
2018 |
Cubero R, Marsili M, Roudi Y. Minimum Description Length Codes Are Critical Entropy. 20: 755. DOI: 10.3390/e20100755 |
0.764 |
|
2017 |
Kanter BR, Lykken CM, Avesar D, Weible A, Dickinson J, Dunn B, Borgesius NZ, Roudi Y, Kentros CG. A Novel Mechanism for the Grid-to-Place Cell Transformation Revealed by Transgenic Depolarization of Medial Entorhinal Cortex Layer II. Neuron. 93: 1480-1492.e6. PMID 28334610 DOI: 10.1016/J.Neuron.2017.03.001 |
0.762 |
|
2017 |
Battistin C, Dunn B, Roudi Y. Learning with unknowns: Analyzing biological data in the presence of hidden variables Current Opinion in Systems Biology. 1: 122-128. DOI: 10.1016/J.COISB.2016.12.010 |
0.753 |
|
2016 |
Rowland DC, Roudi Y, Moser MB, Moser EI. Ten Years of Grid Cells. Annual Review of Neuroscience. PMID 27023731 DOI: 10.1146/Annurev-Neuro-070815-013824 |
0.39 |
|
2016 |
Hertz JA, Roudi Y, Sollich P. Path integral methods for the dynamics of stochastic and disordered systems Journal of Physics a: Mathematical and Theoretical. 50: 033001. DOI: 10.1088/1751-8121/50/3/033001 |
0.545 |
|
2016 |
Bachschmid-Romano L, Battistin C, Opper M, Roudi Y. Variational perturbation and extended Plefka approaches to dynamics on random networks: the case of the kinetic Ising model Journal of Physics A. 49: 434003. DOI: 10.1088/1751-8113/49/43/434003 |
0.359 |
|
2016 |
Bulso N, Marsili M, Roudi Y. Sparse model selection in the highly under-sampled regime Journal of Statistical Mechanics: Theory and Experiment. 2016: 093404. DOI: 10.1088/1742-5468/2016/09/093404 |
0.356 |
|
2015 |
Roudi Y, Taylor G. Learning with hidden variables. Current Opinion in Neurobiology. 35: 110-118. PMID 26298193 DOI: 10.1016/J.Conb.2015.07.006 |
0.381 |
|
2015 |
Dunn B, Mørreaunet M, Roudi Y. Correlations and functional connections in a population of grid cells. Plos Computational Biology. 11: e1004052. PMID 25714908 DOI: 10.1371/Journal.Pcbi.1004052 |
0.73 |
|
2015 |
Roudi Y, Dunn B, Hertz J. Multi-neuronal activity and functional connectivity in cell assemblies. Current Opinion in Neurobiology. 32: 38-44. PMID 25463563 DOI: 10.1016/J.Conb.2014.10.011 |
0.79 |
|
2015 |
Borysov SS, Roudi Y, Balatsky AV. U.S. stock market interaction network as learned by the Boltzmann machine European Physical Journal B. 88: 1-14. DOI: 10.1140/epjb/e2015-60282-3 |
0.328 |
|
2015 |
Opper M, Roudi Y, Sollich P. Special issue on modelling and inference in the dynamics of complex interaction networks: advanced approximation techniques Journal of Physics a: Mathematical and Theoretical. 48: 230201. DOI: 10.1088/1751-8113/48/23/230201 |
0.331 |
|
2015 |
Battistin C, Hertz J, Tyrcha J, Roudi Y. Belief propagation and replicas for inference and learning in a kinetic Ising model with hidden spins Journal of Statistical Mechanics: Theory and Experiment. 2015. DOI: 10.1088/1742-5468/2015/05/P05021 |
0.606 |
|
2014 |
Moser EI, Roudi Y, Witter MP, Kentros C, Bonhoeffer T, Moser MB. Grid cells and cortical representation. Nature Reviews. Neuroscience. 15: 466-81. PMID 24917300 DOI: 10.1038/Nrn3766 |
0.353 |
|
2014 |
Roudi Y, Moser EI. Grid cells in an inhibitory network. Nature Neuroscience. 17: 639-41. PMID 24883451 DOI: 10.1038/nn.3704 |
0.41 |
|
2014 |
Moser EI, Moser MB, Roudi Y. Network mechanisms of grid cells. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 369: 20120511. PMID 24366126 DOI: 10.1098/Rstb.2012.0511 |
0.425 |
|
2014 |
Zeng HL, Hertz J, Roudi Y. L1regularization for reconstruction of a non-equilibrium Ising model Physica Scripta. 89. DOI: 10.1088/0031-8949/89/10/105002 |
0.602 |
|
2013 |
Zeng HL, Alava M, Aurell E, Hertz J, Roudi Y. Maximum likelihood reconstruction for Ising models with asynchronous updates. Physical Review Letters. 110: 210601. PMID 23745850 DOI: 10.1103/Physrevlett.110.210601 |
0.607 |
|
2013 |
Dunn B, Roudi Y. Learning and inference in a nonequilibrium Ising model with hidden nodes. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 87: 022127. PMID 23496479 DOI: 10.1103/Physreve.87.022127 |
0.733 |
|
2013 |
Bomash I, Roudi Y, Nirenberg S. A virtual retina for studying population coding. Plos One. 8: e53363. PMID 23341940 DOI: 10.1371/journal.pone.0053363 |
0.375 |
|
2013 |
Bonnevie T, Dunn B, Fyhn M, Hafting T, Derdikman D, Kubie JL, Roudi Y, Moser EI, Moser MB. Grid cells require excitatory drive from the hippocampus. Nature Neuroscience. 16: 309-17. PMID 23334581 DOI: 10.1038/Nn.3311 |
0.77 |
|
2013 |
Couey JJ, Witoelar A, Zhang SJ, Zheng K, Ye J, Dunn B, Czajkowski R, Moser MB, Moser EI, Roudi Y, Witter MP. Recurrent inhibitory circuitry as a mechanism for grid formation. Nature Neuroscience. 16: 318-24. PMID 23334580 DOI: 10.1038/Nn.3310 |
0.773 |
|
2013 |
Marsili M, Mastromatteo I, Roudi Y. On sampling and modeling complex systems Journal of Statistical Mechanics: Theory and Experiment. 2013. DOI: 10.1088/1742-5468/2013/09/P09003 |
0.342 |
|
2013 |
Tyrcha J, Roudi Y, Marsili M, Hertz J. The effect of nonstationarity on models inferred from neural data Journal of Statistical Mechanics: Theory and Experiment. 2013. DOI: 10.1088/1742-5468/2013/03/P03005 |
0.681 |
|
2012 |
Giocomo LM, Roudi Y. The neural encoding of space in parahippocampal cortices. Frontiers in Neural Circuits. 6: 53. PMID 22912603 DOI: 10.3389/Fncir.2012.00053 |
0.361 |
|
2012 |
Sakellariou J, Roudi Y, Mezard M, Hertz J. Effect of coupling asymmetry on mean-field solutions of the direct and inverse Sherrington-Kirkpatrick model Philosophical Magazine. 92: 272-279. DOI: 10.1080/14786435.2011.634857 |
0.586 |
|
2011 |
Roudi Y, Hertz J. Mean field theory for nonequilibrium network reconstruction. Physical Review Letters. 106: 048702. PMID 21405370 DOI: 10.1103/PhysRevLett.106.048702 |
0.631 |
|
2011 |
Witoelar A, Roudi Y. Neural network reconstruction using kinetic Ising models with memory Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P274 |
0.741 |
|
2011 |
Tyrcha J, Roudi Y, Hertz J. Network inference from non-stationary spike trains Bmc Neuroscience. 12: P150. DOI: 10.1186/1471-2202-12-S1-P150 |
0.335 |
|
2011 |
Roudi Y, Hertz J. Dynamical TAP equations for non-equilibrium Ising spin glasses Journal of Statistical Mechanics: Theory and Experiment. 2011. DOI: 10.1088/1742-5468/2011/03/P03031 |
0.57 |
|
2010 |
Hertz JA, Roudi Y, Thorning A, Tyrcha J, Aurell E, Zeng H. Inferring network connectivity using kinetic Ising models Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-P51 |
0.684 |
|
2009 |
Roudi Y, Aurell E, Hertz JA. Statistical physics of pairwise probability models. Frontiers in Computational Neuroscience. 3: 22. PMID 19949460 DOI: 10.3389/Neuro.10.022.2009 |
0.621 |
|
2009 |
Roudi Y, Tyrcha J, Hertz J. Ising model for neural data: model quality and approximate methods for extracting functional connectivity. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 79: 051915. PMID 19518488 DOI: 10.1103/PhysRevE.79.051915 |
0.684 |
|
2009 |
Roudi Y, Nirenberg S, Latham PE. Pairwise maximum entropy models for studying large biological systems: when they can work and when they can't. Plos Computational Biology. 5: e1000380. PMID 19424487 DOI: 10.1371/journal.pcbi.1000380 |
0.533 |
|
2009 |
Latham P, Roudi Y. Mutual information Scholarpedia. 4: 1658. DOI: 10.4249/scholarpedia.1658 |
0.416 |
|
2009 |
Roudi Y, Tyrcha J, Hertz J. Fast and reliable methods for extracting functional connectivity in large populations Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-O9 |
0.57 |
|
2008 |
Roudi Y, Treves A. Representing where along with what information in a model of a cortical patch. Plos Computational Biology. 4: e1000012. PMID 18369416 DOI: 10.1371/journal.pcbi.1000012 |
0.582 |
|
2007 |
Roudi Y, Latham PE. A balanced memory network. Plos Computational Biology. 3: 1679-700. PMID 17845070 DOI: 10.1371/journal.pcbi.0030141 |
0.593 |
|
2006 |
Roudi Y, Treves A. Localized activity profiles and storage capacity of rate-based autoassociative networks. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 73: 061904. PMID 16906861 DOI: 10.1103/PhysRevE.73.061904 |
0.582 |
|
2006 |
Roudi Y, Treves A. An evolutionary niche for quantitative theoretical analyses? Behavioral and Brain Sciences. 29: 23. DOI: 10.1017/S0140525X06329019 |
0.445 |
|
2005 |
Treves A, Roudi Y. Course 13 Of the evolution of the brain Les Houches Summer School Proceedings. 80: 641-689. DOI: 10.1016/S0924-8099(05)80019-8 |
0.332 |
|
2004 |
Roudi Y, Treves A. An associative network with spatially organized connectivity Journal of Statistical Mechanics: Theory and Experiment. DOI: 10.1088/1742-5468/2004/07/P07010 |
0.552 |
|
2003 |
Roudi Y, Treves A. Disappearance of spurious states in analog associative memories. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 67: 041906. PMID 12786395 DOI: 10.1103/Physreve.67.041906 |
0.486 |
|
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