Year |
Citation |
Score |
2023 |
Barak O, Tsodyks M. Mathematical models of learning and what can be learned from them. Current Opinion in Neurobiology. 80: 102721. PMID 37043892 DOI: 10.1016/j.conb.2023.102721 |
0.494 |
|
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 |
0.779 |
|
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 |
0.676 |
|
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 |
0.326 |
|
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 |
0.323 |
|
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 |
0.793 |
|
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 |
0.356 |
|
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 |
0.356 |
|
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 |
0.392 |
|
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 |
0.639 |
|
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 |
0.683 |
|
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 |
0.725 |
|
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 |
0.341 |
|
2017 |
Trübutschek D, Marti S, Ojeda A, King J, Mi Y, Tsodyks M, Dehaene S. Author response: A theory of working memory without consciousness or sustained activity Elife. DOI: 10.7554/Elife.23871.030 |
0.306 |
|
2016 |
Mi Y, Katkov M, Tsodyks M. Synaptic Correlates of Working Memory Capacity. Neuron. PMID 28041884 DOI: 10.1016/j.neuron.2016.12.004 |
0.64 |
|
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 |
0.659 |
|
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 |
0.715 |
|
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 |
0.583 |
|
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 |
0.694 |
|
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 |
0.713 |
|
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 |
0.639 |
|
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 |
0.462 |
|
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 |
0.362 |
|
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 |
0.732 |
|
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 |
0.657 |
|
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 |
0.388 |
|
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 |
0.65 |
|
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 |
0.426 |
|
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 |
0.701 |
|
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 |
0.773 |
|
2010 |
Romani S, Tsodyks M. Continuous attractors with morphed/correlated maps. Plos Computational Biology. 6. PMID 20700490 DOI: 10.1371/Journal.Pcbi.1000869 |
0.715 |
|
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 |
0.665 |
|
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 |
0.497 |
|
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 |
0.53 |
|
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 |
0.765 |
|
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 |
0.779 |
|
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 |
0.787 |
|
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 |
0.406 |
|
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 |
0.622 |
|
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 |
0.809 |
|
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 |
0.525 |
|
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 |
0.661 |
|
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 |
0.773 |
|
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 |
0.571 |
|
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 |
0.407 |
|
2007 |
Treves A, McIntosh AR, Tulving E, Tsodyks M. Coding and representation Science of Memory: Concepts. DOI: 10.1093/acprof:oso/9780195310443.003.0004 |
0.373 |
|
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 |
0.519 |
|
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 |
0.802 |
|
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 |
0.629 |
|
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 |
0.438 |
|
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 |
0.43 |
|
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 |
0.533 |
|
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 |
0.523 |
|
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 |
0.534 |
|
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 |
0.379 |
|
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 |
0.597 |
|
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 |
0.743 |
|
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 |
0.567 |
|
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 |
0.807 |
|
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 |
0.515 |
|
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 |
0.42 |
|
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 |
0.806 |
|
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 |
0.397 |
|
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 |
0.586 |
|
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 |
0.353 |
|
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 |
0.719 |
|
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 |
0.346 |
|
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 |
0.685 |
|
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 |
0.457 |
|
2000 |
Dror G, Tsodyks M. Chaos in neural networks with dynamic synapses Neurocomputing. 32: 365-370. DOI: 10.1016/S0925-2312(00)00187-9 |
0.349 |
|
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 |
0.348 |
|
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 |
0.802 |
|
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 |
0.44 |
|
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 |
0.727 |
|
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 |
0.423 |
|
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 |
Markram H, Pikus D, Gupta A, Tsodyks M. Potential for multiple mechanisms, phenomena and algorithms for synaptic plasticity at single synapses. Neuropharmacology. 37: 489-500. PMID 9704990 DOI: 10.1016/S0028-3908(98)00049-5 |
0.3 |
|
1998 |
Tsodyks M, Pawelzik K, Markram H. Neural networks with dynamic synapses. Neural Computation. 10: 821-35. PMID 9573407 DOI: 10.1162/089976698300017502 |
0.733 |
|
1998 |
Senn W, Segev I, Tsodyks M. Reading neuronal synchrony with depressing synapses. Neural Computation. 10: 815-9. PMID 9573406 DOI: 10.1162/089976698300017494 |
0.4 |
|
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 |
0.379 |
|
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 |
0.623 |
|
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 |
0.767 |
|
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 |
0.792 |
|
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 |
0.77 |
|
1996 |
Markram H, Tsodyks M. Redistribution of synaptic efficacy between neocortical pyramidal neurons. Nature. 382: 807-10. PMID 8752273 DOI: 10.1038/382807a0 |
0.388 |
|
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 |
0.313 |
|
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 |
0.784 |
|
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 |
0.585 |
|
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 |
0.541 |
|
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 |
0.552 |
|
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 |
0.731 |
|
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 |
0.32 |
|
1991 |
Tirozzi B, Tsodyks M. Chaos in highly diluted neural networks Epl. 14: 727-732. DOI: 10.1209/0295-5075/14/8/001 |
0.326 |
|
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 |
0.695 |
|
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 |
0.72 |
|
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. |
0.308 |
|
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