Misha Tsodyks - Publications

Affiliations: 
Weizmann Institute of Science, Rehovot, Israel 

102 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2021 Eliav T, Maimon SR, Aljadeff J, Tsodyks M, Ginosar G, Las L, Ulanovsky N. Multiscale representation of very large environments in the hippocampus of flying bats. Science (New York, N.Y.). 372. PMID 34045327 DOI: 10.1126/science.abg4020  0.778
2020 Naim M, Katkov M, Romani S, Tsodyks M. Fundamental Law of Memory Recall. Physical Review Letters. 124: 018101. PMID 31976719 DOI: 10.1103/Physrevlett.124.018101  0.675
2019 Naim M, Katkov M, Recanatesi S, Tsodyks M. Emergence of hierarchical organization in memory for random material. Scientific Reports. 9: 10448. PMID 31320693 DOI: 10.1038/s41598-019-46908-z  0.321
2019 Golomb D, Tsodyks M. Decision letter: Mechanisms underlying the response of mouse cortical networks to optogenetic manipulation Elife. DOI: 10.7554/Elife.49967.Sa1  0.326
2018 Finkelstein A, Ulanovsky N, Tsodyks M, Aljadeff J. Optimal dynamic coding by mixed-dimensionality neurons in the head-direction system of bats. Nature Communications. 9: 3590. PMID 30181554 DOI: 10.1038/S41467-018-05562-1  0.792
2017 Ben-Shushan N, Tsodyks M. Stabilizing patterns in time: Neural network approach. Plos Computational Biology. 13: e1005861. PMID 29232710 DOI: 10.1371/journal.pcbi.1005861  0.355
2017 Ding S, Cueva CJ, Tsodyks M, Qian N. Visual perception as retrospective Bayesian decoding from high- to low-level features. Proceedings of the National Academy of Sciences of the United States of America. 114: E9115-E9124. PMID 29073108 DOI: 10.1073/pnas.1706906114  0.353
2017 Recanatesi S, Katkov M, Tsodyks M. Memory States and Transitions between Them in Attractor Neural Networks. Neural Computation. 1-28. PMID 28777725 DOI: 10.1162/neco_a_00998  0.386
2017 Trübutschek D, Marti S, Ojeda A, King JR, Mi Y, Tsodyks M, Dehaene S. A theory of working memory without consciousness or sustained activity. Elife. 6. PMID 28718763 DOI: 10.7554/Elife.23871  0.371
2017 Katkov M, Romani S, Tsodyks M. Memory Retrieval from First Principles Neuron. 94: 1027-1032. PMID 28595046 DOI: 10.1016/J.Neuron.2017.03.048  0.684
2017 Mark S, Romani S, Jezek K, Tsodyks M. Theta-paced flickering between place-cell maps in the hippocampus: A model based on short-term synaptic plasticity. Hippocampus. PMID 28558154 DOI: 10.1002/Hipo.22743  0.726
2017 Esir P, Simonov A, Tsodyks M. Feature Detection in Visual Cortex during Different Functional States. Frontiers in Computational Neuroscience. 11: 21. PMID 28473765 DOI: 10.3389/fncom.2017.00021  0.343
2016 Mi Y, Katkov M, Tsodyks M. Synaptic Correlates of Working Memory Capacity. Neuron. PMID 28041884 DOI: 10.1016/j.neuron.2016.12.004  0.372
2016 Romani S, Katkov M, Tsodyks M. Practice makes perfect in memory recall. Learning & Memory (Cold Spring Harbor, N.Y.). 23: 169-73. PMID 26980785 DOI: 10.1101/Lm.041178.115  0.66
2015 Recanatesi S, Katkov M, Romani S, Tsodyks M. Neural Network Model of Memory Retrieval. Frontiers in Computational Neuroscience. 9: 149. PMID 26732491 DOI: 10.3389/Fncom.2015.00149  0.714
2015 Podvalny E, Noy N, Harel M, Bickel S, Chechik G, Schroeder CE, Mehta AD, Tsodyks M, Malach R. A unifying principle underlying the extracellular field potential spectral responses in the human cortex. Journal of Neurophysiology. 114: 505-19. PMID 25855698 DOI: 10.1152/Jn.00943.2014  0.588
2015 Katkov M, Romani S, Tsodyks M. Effects of long-term representations on free recall of unrelated words. Learning & Memory (Cold Spring Harbor, N.Y.). 22: 101-8. PMID 25593296 DOI: 10.1101/Lm.035238.114  0.693
2015 Romani S, Tsodyks M. Short-term plasticity based network model of place cells dynamics. Hippocampus. 25: 94-105. PMID 25155013 DOI: 10.1002/Hipo.22355  0.715
2014 Katkov M, Romani S, Tsodyks M. Word length effect in free recall of randomly assembled word lists. Frontiers in Computational Neuroscience. 8: 129. PMID 25352804 DOI: 10.3389/Fncom.2014.00129  0.641
2014 Si B, Romani S, Tsodyks M. Continuous attractor network model for conjunctive position-by-velocity tuning of grid cells. Plos Computational Biology. 10: e1003558. PMID 24743341 DOI: 10.1371/Journal.Pcbi.1003558  0.786
2014 Barak O, Tsodyks M. Working models of working memory. Current Opinion in Neurobiology. 25: 20-4. PMID 24709596 DOI: 10.1016/J.Conb.2013.10.008  0.64
2013 Wu S, Wong KY, Tsodyks M. Neural information processing with dynamical synapses. Frontiers in Computational Neuroscience. 7: 188. PMID 24421767 DOI: 10.3389/Fncom.2013.00188  0.461
2013 Tetzlaff C, Kolodziejski C, Timme M, Tsodyks M, Wörgötter F. Synaptic scaling enables dynamically distinct short- and long-term memory formation. Plos Computational Biology. 9: e1003307. PMID 24204240 DOI: 10.1186/1471-2202-14-S1-P415  0.357
2013 Romani S, Pinkoviezky I, Rubin A, Tsodyks M. Scaling laws of associative memory retrieval. Neural Computation. 25: 2523-44. PMID 23777521 DOI: 10.1162/Neco_A_00499  0.738
2013 Barak O, Sussillo D, Romo R, Tsodyks M, Abbott LF. From fixed points to chaos: three models of delayed discrimination. Progress in Neurobiology. 103: 214-22. PMID 23438479 DOI: 10.1016/J.Pneurobio.2013.02.002  0.733
2013 Bonneh Y, Adini Y, Sagi D, Tsodyks M, Fried M, Arieli A. Microsaccade latency uncovers stimulus predictability: Faster and longer inhibition for unpredicted stimuli Journal of Vision. 13: 1342-1342. DOI: 10.1167/13.9.1342  0.659
2012 Mark S, Tsodyks M. Population spikes in cortical networks during different functional states. Frontiers in Computational Neuroscience. 6: 43. PMID 22811663 DOI: 10.3389/fncom.2012.00043  0.391
2012 Bonneh Y, Adini Y, Sagi D, Tsodyks M, Fried M, Arieli A. An oculomotor trace of implicit perceptual predictions Journal of Vision. 12: 1114-1114. DOI: 10.1167/12.9.1114  0.651
2011 Itskov V, Hansel D, Tsodyks M. Short-Term Facilitation may Stabilize Parametric Working Memory Trace. Frontiers in Computational Neuroscience. 5: 40. PMID 22028690 DOI: 10.3389/Fncom.2011.00040  0.423
2011 Romani S, Sejnowski TJ, Tsodyks M. Intracellular dynamics of virtual place cells. Neural Computation. 23: 651-5. PMID 21162664 DOI: 10.1162/Neco_A_00087  0.704
2011 Preminger S, Sagi D, Tsodyks M. Erratum to “The effects of perceptual history on memory of visual objects” [Vision Res. 47/7 (2007) 965–973] Vision Research. 51: 1718. DOI: 10.1016/J.Visres.2010.09.007  0.771
2010 Romani S, Tsodyks M. Continuous attractors with morphed/correlated maps. Plos Computational Biology. 6. PMID 20700490 DOI: 10.1371/Journal.Pcbi.1000869  0.718
2010 Barak O, Tsodyks M, Romo R. Neuronal population coding of parametric working memory. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 30: 9424-30. PMID 20631171 DOI: 10.1523/Jneurosci.1875-10.2010  0.669
2010 Katkov M, Tsodyks M, Sagi D. The human contrast response function: overcoming experimental pitfalls Journal of Vision. 7: 261-261. DOI: 10.1167/7.9.261  0.499
2010 Katkov M, Gan T, Tsodyks M, Sagi D. Singularities in the inverse modeling of contrast discrimination and ways to avoid them Journal of Vision. 5: 455-455. DOI: 10.1167/5.8.455  0.532
2009 Loebel A, Silberberg G, Helbig D, Markram H, Tsodyks M, Richardson MJ. Multiquantal release underlies the distribution of synaptic efficacies in the neocortex. Frontiers in Computational Neuroscience. 3: 27. PMID 19956403 DOI: 10.3389/Neuro.10.027.2009  0.764
2009 Preminger S, Blumenfeld B, Sagi D, Tsodyks M. Mapping dynamic memories of gradually changing objects. Proceedings of the National Academy of Sciences of the United States of America. 106: 5371-6. PMID 19282481 DOI: 10.1073/Pnas.0802111106  0.778
2009 Kenet T, Arieli A, Tsodyks M, Grinvald A. Are Single Cortical Neurons Soloists or Are They Obedient Members of a Huge Orchestra? 23 Problems in Systems Neuroscience. DOI: 10.1093/acprof:oso/9780195148220.003.0009  0.788
2008 Tsodyks M. Computational neuroscience grand challenges - a humble attempt at future forecast. Frontiers in Neuroscience. 2: 17-8. PMID 18982100 DOI: 10.3389/neuro.01.021.2008  0.408
2008 Melamed O, Barak O, Silberberg G, Markram H, Tsodyks M. Slow oscillations in neural networks with facilitating synapses. Journal of Computational Neuroscience. 25: 308-16. PMID 18483841 DOI: 10.1007/S10827-008-0080-Z  0.626
2008 Mongillo G, Barak O, Tsodyks M. Synaptic theory of working memory. Science (New York, N.Y.). 319: 1543-6. PMID 18339943 DOI: 10.1126/Science.1150769  0.632
2007 Loebel A, Nelken I, Tsodyks M. Processing of sounds by population spikes in a model of primary auditory cortex. Frontiers in Neuroscience. 1: 197-209. PMID 18982129 DOI: 10.3389/Neuro.01.1.1.015.2007  0.81
2007 Katkov M, Tsodyks M, Sagi D. Inverse modeling of human contrast response. Vision Research. 47: 2855-67. PMID 17869321 DOI: 10.1016/j.visres.2007.06.024  0.527
2007 Barak O, Tsodyks M. Persistent activity in neural networks with dynamic synapses. Plos Computational Biology. 3: e35. PMID 17319739 DOI: 10.1371/Journal.Pcbi.0030035  0.664
2007 Preminger S, Sagi D, Tsodyks M. The effects of perceptual history on memory of visual objects. Vision Research. 47: 965-73. PMID 17300824 DOI: 10.1016/J.Visres.2007.01.003  0.772
2007 Barak O, Tsodyks M. Correction: Persistent Activity in Neural Networks with Dynamic Synapses Plos Computational Biology. 3: e104. DOI: 10.1371/Journal.Pcbi.0030104  0.575
2007 Bibitchkov D, Blumenfeld B, Tsodyks M. Spontaneous pattern generation by a network with dynamic synapses Bmc Neuroscience. 8: 182. DOI: 10.1186/1471-2202-8-S2-P182  0.41
2007 Treves A, McIntosh AR, Tulving E, Tsodyks M. Coding and representation Science of Memory: Concepts. DOI: 10.1093/acprof:oso/9780195310443.003.0004  0.377
2007 Katkov M, Tsodyks M, Sagi D. Singularities explained: Response to Klein Vision Research. 47: 2918-2922. DOI: 10.1016/j.visres.2006.10.030  0.521
2006 Blumenfeld B, Preminger S, Sagi D, Tsodyks M. Dynamics of memory representations in networks with novelty-facilitated synaptic plasticity. Neuron. 52: 383-94. PMID 17046699 DOI: 10.1016/J.Neuron.2006.08.016  0.8
2006 Barak O, Tsodyks M. Recognition by variance: learning rules for spatiotemporal patterns. Neural Computation. 18: 2343-58. PMID 16907629 DOI: 10.1162/Neco.2006.18.10.2343  0.633
2006 Blumenfeld B, Bibitchkov D, Tsodyks M. Neural network model of the primary visual cortex: from functional architecture to lateral connectivity and back. Journal of Computational Neuroscience. 20: 219-41. PMID 16699843 DOI: 10.1007/s10827-006-6307-y  0.441
2006 Holcman D, Tsodyks M. The emergence of Up and Down states in cortical networks. Plos Computational Biology. 2: e23. PMID 16557293 DOI: 10.1371/Journal.Pcbi.0020023  0.431
2006 Katkov M, Tsodyks M, Sagi D. Singularities in the inverse modeling of 2AFC contrast discrimination data. Vision Research. 46: 259-66. PMID 16289197 DOI: 10.1016/j.visres.2005.09.022  0.536
2006 Katkov M, Tsodyks M, Sagi D. Erratum to “Singularities in the inverse modelling of 2AFC contrast discrimination data” [Vis. Res. 46 (2006) 259–266] Vision Research. 46: 2157. DOI: 10.1016/J.Visres.2005.12.018  0.525
2006 Katkov M, Tsodyks M, Sagi D. Analysis of a two-alternative force-choice signal detection theory model Journal of Mathematical Psychology. 50: 411-420. DOI: 10.1016/j.jmp.2005.11.002  0.537
2005 Tsodyks M. Attractor neural networks and spatial maps in hippocampus. Neuron. 48: 168-9. PMID 16242397 DOI: 10.1016/j.neuron.2005.10.006  0.392
2004 Adini Y, Wilkonsky A, Haspel R, Tsodyks M, Sagi D. Perceptual learning in contrast discrimination: the effect of contrast uncertainty. Journal of Vision. 4: 993-1005. PMID 15669907 DOI: 10:1167/4.12.2  0.531
2004 Tsodyks M, Gilbert C. Neural networks and perceptual learning. Nature. 431: 775-81. PMID 15483598 DOI: 10.1038/nature03013  0.378
2004 Tsodyks M, Adini Y, Sagi D. Associative learning in early vision. Neural Networks : the Official Journal of the International Neural Network Society. 17: 823-32. PMID 15288900 DOI: 10.1016/j.neunet.2004.03.004  0.598
2004 Fuhrmann G, Cowan A, Segev I, Tsodyks M, Stricker C. Multiple mechanisms govern the dynamics of depression at neocortical synapses of young rats. The Journal of Physiology. 557: 415-38. PMID 15020700 DOI: 10.1113/jphysiol.2003.058107  0.306
2004 Silberberg G, Bethge M, Markram H, Pawelzik K, Tsodyks M. Dynamics of population rate codes in ensembles of neocortical neurons. Journal of Neurophysiology. 91: 704-9. PMID 14762148 DOI: 10.1152/Jn.00415.2003  0.745
2004 Tsodyks M, Adini Y, Sagi D. Erratum to: Associative learning in early vision [Neural Networks 17 (5–6) 823–832] Neural Networks. 17: 1495. DOI: 10.1016/j.neunet.2004.09.001  0.57
2003 Kenet T, Bibitchkov D, Tsodyks M, Grinvald A, Arieli A. Spontaneously emerging cortical representations of visual attributes. Nature. 425: 954-6. PMID 14586468 DOI: 10.1038/Nature02078  0.801
2003 Grinvald A, Arieli A, Tsodyks M, Kenet T. Neuronal assemblies: single cortical neurons are obedient members of a huge orchestra. Biopolymers. 68: 422-36. PMID 12601800 DOI: 10.1002/Bip.10273  0.808
2003 Katkov M, Tsodyks M, Sagi D. Separating signal from noise in visual discrimination Journal of Vision. 3: 609a. DOI: 10.1167/3.9.609  0.517
2003 Sagi D, Adini Y, Tsodyks M, Wilkonsky A. Context dependent learning in contrast discrimination: Effects of contrast uncertainty Journal of Vision. 3: 173a. DOI: 10.1167/3.9.173  0.523
2002 Tsodyks M. Spike-timing-dependent synaptic plasticity - the long road towards understanding neuronal mechanisms of learning and memory. Trends in Neurosciences. 25: 599-600. PMID 12446119 DOI: 10.1016/S0166-2236(02)02294-4  0.419
2002 Loebel A, Tsodyks M. Computation by ensemble synchronization in recurrent networks with synaptic depression. Journal of Computational Neuroscience. 13: 111-24. PMID 12215725 DOI: 10.1023/A:1020110223441  0.807
2002 Fuhrmann G, Markram H, Tsodyks M. Spike frequency adaptation and neocortical rhythms. Journal of Neurophysiology. 88: 761-70. PMID 12163528 DOI: 10.1152/Jn.2002.88.2.761  0.401
2002 Adini Y, Sagi D, Tsodyks M. Context-enabled learning in the human visual system. Nature. 415: 790-3. PMID 11845209 DOI: 10.1038/415790a  0.588
2002 Fuhrmann G, Segev I, Markram H, Tsodyks M. Coding of temporal information by activity-dependent synapses. Journal of Neurophysiology. 87: 140-8. PMID 11784736 DOI: 10.1152/Jn.00258.2001  0.354
2001 Ernst UA, Pawelzik KR, Sahar-Pikielny C, Tsodyks MV. Intracortical origin of visual maps. Nature Neuroscience. 4: 431-6. PMID 11276235 DOI: 10.1038/86089  0.722
2001 Senn W, Markram H, Tsodyks M. An algorithm for modifying neurotransmitter release probability based on pre- and postsynaptic spike timing. Neural Computation. 13: 35-67. PMID 11177427 DOI: 10.1162/089976601300014628  0.348
2001 Ernst U, Pawelzik K, Tsodyks M. Chapter 22 Emergence of feature selectivity from lateral interactions in the visual cortex Handbook of Biological Physics. 4: 969-1000. DOI: 10.1016/S1383-8121(01)80025-7  0.687
2000 Tsodyks M, Uziel A, Markram H. Synchrony generation in recurrent networks with frequency-dependent synapses. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 20: RC50. PMID 10627627 DOI: 10.1523/Jneurosci.20-01-J0003.2000  0.461
2000 Dror G, Tsodyks M. Chaos in neural networks with dynamic synapses Neurocomputing. 32: 365-370. DOI: 10.1016/S0925-2312(00)00187-9  0.351
2000 Dror G, Tsodyks M. Activity of coupled excitatory and inhibitory neural populations with dynamic synapses Neurocomputing. 32: 359-364. DOI: 10.1016/S0925-2312(00)00186-7  0.349
1999 Tsodyks M, Kenet T, Grinvald A, Arieli A. Linking spontaneous activity of single cortical neurons and the underlying functional architecture. Science (New York, N.Y.). 286: 1943-6. PMID 10583955 DOI: 10.1126/Science.286.5446.1943  0.803
1999 Tsodyks M. Attractor neural network models of spatial maps in hippocampus. Hippocampus. 9: 481-9. PMID 10495029 DOI: 10.1002/(SICI)1098-1063(1999)9:4<481::AID-HIPO14>3.0.CO;2-S  0.443
1999 Ernst U, Pawelzik K, Tsodyks M, Sejnowski TJ. Relation between retinotopical and orientation maps in visual cortex. Neural Computation. 11: 375-9. PMID 9950736 DOI: 10.1162/089976699300016692  0.73
1999 Dror G, Tsodyks M. Analysis and modeling of population dynamics in the visual cortex Neurocomputing. 26: 361-366. DOI: 10.1016/S0925-2312(99)00025-9  0.426
1998 Markram H, Gupta A, Uziel A, Wang Y, Tsodyks M. Information processing with frequency-dependent synaptic connections. Neurobiology of Learning and Memory. 70: 101-12. PMID 9753590 DOI: 10.1006/nlme.1998.3841  0.393
1998 Tsodyks M, Pawelzik K, Markram H. Neural networks with dynamic synapses. Neural Computation. 10: 821-35. PMID 9573407 DOI: 10.1162/089976698300017502  0.734
1998 Senn W, Segev I, Tsodyks M. Reading neuronal synchrony with depressing synapses. Neural Computation. 10: 815-9. PMID 9573406 DOI: 10.1162/089976698300017494  0.403
1998 Markram H, Wang Y, Tsodyks M. Differential signaling via the same axon of neocortical pyramidal neurons. Proceedings of the National Academy of Sciences of the United States of America. 95: 5323-8. PMID 9560274 DOI: 10.1073/pnas.95.9.5323  0.38
1997 Adini Y, Sagi D, Tsodyks M. Excitatory-inhibitory network in the visual cortex: psychophysical evidence. Proceedings of the National Academy of Sciences of the United States of America. 94: 10426-31. PMID 9294227 DOI: 10.1073/pnas.94.19.10426  0.626
1997 Tsodyks MV, Skaggs WE, Sejnowski TJ, McNaughton BL. Paradoxical effects of external modulation of inhibitory interneurons. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 17: 4382-8. PMID 9151754 DOI: 10.1523/Jneurosci.17-11-04382.1997  0.769
1997 Kenet T, Arieli A, Grinvald A, Tsodyks M. Cortical population activity predicts both spontaneous and evoked single neuron firing rates Neuroscience Letters. 237: S27. DOI: 10.1016/S0304-3940(97)90111-7  0.793
1996 Tsodyks MV, Skaggs WE, Sejnowski TJ, McNaughton BL. Population dynamics and theta rhythm phase precession of hippocampal place cell firing: a spiking neuron model. Hippocampus. 6: 271-80. PMID 8841826 DOI: 10.1002/(SICI)1098-1063(1996)6:3<271::AID-HIPO5>3.0.CO;2-Q  0.772
1996 Markram H, Tsodyks M. Redistribution of synaptic efficacy between neocortical pyramidal neurons. Nature. 382: 807-10. PMID 8752273 DOI: 10.1038/382807a0  0.389
1995 Tsodyks MV, Sejnowski T. Rapid state switching in balanced cortical network models Network: Computation in Neural Systems. 6: 111-124. DOI: 10.1088/0954-898X_6_2_001  0.316
1994 Amit DJ, Brunel N, Tsodyks MV. Correlations of cortical Hebbian reverberations: theory versus experiment. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 14: 6435-45. PMID 7965048 DOI: 10.1523/Jneurosci.14-11-06435.1994  0.786
1994 Sompolinsky H, Tsodyks M. Segmentation by a Network of Oscillators with Stored Memories Neural Computation. 6: 642-657. DOI: 10.1162/neco.1994.6.4.642  0.588
1993 Tsodyks M, Mitkov I, Sompolinsky H. Pattern of synchrony in inhomogeneous networks of oscillators with pulse interactions. Physical Review Letters. 71: 1280-1283. PMID 10055496 DOI: 10.1103/PhysRevLett.71.1280  0.546
1992 Sompolinsky H, Tsodyks M. PROCESSING OF SENSORY INFORMATION BY A NETWORK OF OSCILLATORS WITH MEMORY International Journal of Neural Systems. 3: 51-56. DOI: 10.1142/S0129065792000371  0.555
1992 Amit DJ, Tsodyks MV. Effective neurons and attractor neural networks in cortical environment Network: Computation in Neural Systems. 3: 121-137. DOI: 10.1088/0954-898X_3_2_003  0.733
1991 Frolov AA, MushinskiÄ­ AM, Tsodyks MV. [Simulated model of auto-associative memory in the form of a neural network with a low level of activity]. Biofizika. 36: 339-43. PMID 1892909  0.317
1991 Tirozzi B, Tsodyks M. Chaos in highly diluted neural networks Epl. 14: 727-732. DOI: 10.1209/0295-5075/14/8/001  0.327
1991 Amit DJ, Tsodyks MV. Quantitative study of attractor neural networks retrieving at low spike rates: II. Low-rate retrieval in symmetric networks Network: Computation in Neural Systems. 2: 275-294. DOI: 10.1088/0954-898X_2_3_004  0.696
1991 Amit DJ, Tsodyks MV. Quantitative study of attractor neural network retrieving at low spike rates: I. Substrate - spikes, rates and neuronal gain Network: Computation in Neural Systems. 2: 259-273. DOI: 10.1088/0954-898X_2_3_003  0.721
1991 Frolov AA, Mushinskii AM, Tsodyks MV. Simulation model of auto-associative memory in the form of a neuronal network with a low activity level Biophysics. 36: 342-346.  0.307
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