| Year |
Citation |
Score |
| 2010 |
Hochstein S, Yakovlev V, Romani S, Amit D. Memory mechanisms for familiarity recognition and identification Journal of Vision. 8: 693-693. DOI: 10.1167/8.6.693 |
0.721 |
|
| 2008 |
Romani S, Amit DJ, Amit Y. Optimizing one-shot learning with binary synapses. Neural Computation. 20: 1928-50. PMID 18386988 DOI: 10.1162/Neco.2008.10-07-618 |
0.719 |
|
| 2008 |
Yakovlev V, Amit DJ, Romani S, Hochstein S. Universal memory mechanism for familiarity recognition and identification. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 28: 239-48. PMID 18171941 DOI: 10.1523/Jneurosci.4799-07.2008 |
0.759 |
|
| 2007 |
Amit DJ, Romani S. Search for fMRI BOLD signals in networks of spiking neurons. The European Journal of Neuroscience. 25: 1882-92. PMID 17432973 DOI: 10.1111/J.1460-9568.2007.05408.X |
0.695 |
|
| 2007 |
Bernacchia A, Amit DJ. Impact of spatiotemporally correlated images on the structure of memory. Proceedings of the National Academy of Sciences of the United States of America. 104: 3544-9. PMID 17360679 DOI: 10.1073/pnas.0611395104 |
0.74 |
|
| 2006 |
Romani S, Amit DJ, Mongillo G. Mean-field analysis of selective persistent activity in presence of short-term synaptic depression. Journal of Computational Neuroscience. 20: 201-17. PMID 16699842 DOI: 10.1007/S10827-006-6308-X |
0.702 |
|
| 2006 |
Orlov T, Amit DJ, Yakovlev V, Zohary E, Hochstein S. Memory of ordinal number categories in macaque monkeys. Journal of Cognitive Neuroscience. 18: 399-417. PMID 16513005 DOI: 10.1162/089892906775990660 |
0.575 |
|
| 2005 |
Mongillo G, Curti E, Romani S, Amit DJ. Learning in realistic networks of spiking neurons and spike-driven plastic synapses. The European Journal of Neuroscience. 21: 3143-60. PMID 15978023 DOI: 10.1111/J.1460-9568.2005.04087.X |
0.72 |
|
| 2005 |
Yakovlev V, Bernacchia A, Orlov T, Hochstein S, Amit D. Multi-item working memory--a behavioral study. Cerebral Cortex (New York, N.Y. : 1991). 15: 602-15. PMID 15342436 DOI: 10.1093/cercor/bhh161 |
0.752 |
|
| 2004 |
Curti E, Mongillo G, La Camera G, Amit DJ. Mean field and capacity in realistic networks of spiking neurons storing sparsely coded random memories. Neural Computation. 16: 2597-637. PMID 15516275 DOI: 10.1162/0899766042321805 |
0.785 |
|
| 2003 |
Mongillo G, Amit DJ, Brunel N. Retrospective and prospective persistent activity induced by Hebbian learning in a recurrent cortical network. The European Journal of Neuroscience. 18: 2011-24. PMID 14622234 DOI: 10.1046/j.1460-9568.2003.02908.x |
0.65 |
|
| 2003 |
Amit DJ, Bernacchia A, Yakovlev V. Multiple-object working memory--a model for behavioral performance. Cerebral Cortex (New York, N.Y. : 1991). 13: 435-43. PMID 12679290 DOI: 10.1093/cercor/13.5.435 |
0.734 |
|
| 2003 |
Amit DJ, Mongillo G. Spike-driven synaptic dynamics generating working memory states. Neural Computation. 15: 565-96. PMID 12620158 DOI: 10.1162/089976603321192086 |
0.38 |
|
| 2002 |
Orlov T, Yakovlev V, Amit D, Hochstein S, Zohary E. Serial memory strategies in macaque monkeys: behavioral and theoretical aspects. Cerebral Cortex (New York, N.Y. : 1991). 12: 306-17. PMID 11839604 DOI: 10.1093/Cercor/12.3.306 |
0.656 |
|
| 2001 |
Mongillo G, Amit DJ. Oscillations and irregular emission in networks of linear spiking neurons. Journal of Computational Neuroscience. 11: 249-61. PMID 11796941 DOI: 10.1023/A:1013775115140 |
0.322 |
|
| 2000 |
Fusi S, Annunziato M, Badoni D, Salamon A, Amit DJ. Spike-driven synaptic plasticity: theory, simulation, VLSI implementation. Neural Computation. 12: 2227-58. PMID 11032032 DOI: 10.1162/089976600300014917 |
0.575 |
|
| 2000 |
Fusi S, Del Giudice P, Amit DJ. Neurophysiology of a VLSI spiking neural network: LANN21 Proceedings of the International Joint Conference On Neural Networks. 3: 121-126. |
0.586 |
|
| 1999 |
Mascaro M, Amit DJ. Effective neural response function for collective population states. Network (Bristol, England). 10: 351-73. PMID 10695764 |
0.375 |
|
| 1998 |
Del Giudice P, Fusi S, Badoni D, Dante V, Amit DJ. Learning attractors in an asynchronous, stochastic electronic neural network. Network (Bristol, England). 9: 183-205. PMID 9861985 DOI: 10.1088/0954-898X/9/2/003 |
0.624 |
|
| 1997 |
Amit DJ, Fusi S, Yakovlev V. Paradigmatic working memory (attractor) cell in IT cortex. Neural Computation. 9: 1071-92. PMID 9188192 DOI: 10.1162/Neco.1997.9.5.1071 |
0.554 |
|
| 1997 |
Amit DJ, Brunel N. Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex. Cerebral Cortex (New York, N.Y. : 1991). 7: 237-52. PMID 9143444 DOI: 10.1093/Cercor/7.3.237 |
0.627 |
|
| 1997 |
Amit DJ, Brunel N. Dynamics of a recurrent network of spiking neurons before and following learning Network: Computation in Neural Systems. 8: 373-404. DOI: 10.1088/0954-898X_8_4_003 |
0.624 |
|
| 1995 |
Amit DJ, Brunel N. Learning internal representations in an attractor neural network with analogue neurons Network: Computation in Neural Systems. 6: 359-388. DOI: 10.1088/0954-898X_6_3_004 |
0.668 |
|
| 1995 |
Badoni D, Bertazzoni S, Buglioni S, Salina G, Amit DJ, Fusi S. Electronic implementation of an analogue attractor neural network with stochastic learning Network: Computation in Neural Systems. 6: 125-157. DOI: 10.1088/0954-898X_6_2_002 |
0.643 |
|
| 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 |
0.752 |
|
| 1994 |
Amit DJ, Fusi S. Learning in Neural Networks with Material Synapses Neural Computation. 6: 957-982. DOI: 10.1162/neco.1994.6.5.957 |
0.63 |
|
| 1993 |
Griniasty M, Tsodyks MV, Amit DJ. Conversion of Temporal Correlations Between Stimuli to Spatial Correlations Between Attractors Neural Computation. 5: 1-17. DOI: 10.1162/neco.1993.5.1.1 |
0.32 |
|
| 1993 |
Amit DJ, Brunel N. Adequate input for learning in attractor neural networks Network: Computation in Neural Systems. 4: 177-194. DOI: 10.1088/0954-898X_4_2_003 |
0.602 |
|
| 1992 |
Fusi S, Amit DJ. LEARNING CONSTRAINTS IN STORAGE CAPACITY IN NETWORKS WITH DYNAMIC SYNAPSES International Journal of Neural Systems. 3: 3-11. DOI: 10.1142/S0129065792000322 |
0.594 |
|
| 1992 |
Amit DJ, Fusi S. Constraints on learning in dynamic synapses Network: Computation in Neural Systems. 3: 443-464. DOI: 10.1088/0954-898X_3_4_008 |
0.573 |
|
| 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 |
0.723 |
|
| 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 |
0.719 |
|
| 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 |
0.723 |
|
| 1990 |
Amit DJ, Evans MR, Abeles M. Attractor neural networks with biological probe records Network: Computation in Neural Systems. 1: 381-405. DOI: 10.1088/0954-898X_1_4_001 |
0.393 |
|
| 1990 |
Amit DJ, Sagi D, Usher M. Architecture of attractor neural networks performing cognitive fast scanning Network: Computation in Neural Systems. 1: 189-216. DOI: 10.1088/0954-898X_1_2_005 |
0.37 |
|
| 1990 |
Amit DJ, Parisi G, Nicolis S. Neural potentials as stimuli for attractor neural networks Network: Computation in Neural Systems. 1: 75-88. DOI: 10.1088/0954-898X_1_1_006 |
0.316 |
|
| 1990 |
Amit DJ. Attractor neural networks and biological reality: associative memory and learning Future Generation Computer Systems. 6: 111-119. DOI: 10.1016/0167-739X(90)90027-B |
0.384 |
|
| 1989 |
Amit DJ, Treves A. Associative memory neural network with low temporal spiking rates. Proceedings of the National Academy of Sciences of the United States of America. 86: 7871-5. PMID 2813363 DOI: 10.1073/Pnas.86.20.7871 |
0.579 |
|
| 1989 |
Treves A, Amit DJ. Low firing rates: An effective Hamiltonian for excitatory neurons Journal of Physics a: Mathematical and General. 22: 2205-2226. DOI: 10.1088/0305-4470/22/12/020 |
0.523 |
|
| 1988 |
Amit DJ. Neural networks counting chimes. Proceedings of the National Academy of Sciences of the United States of America. 85: 2141-5. PMID 3353371 DOI: 10.1073/pnas.85.7.2141 |
0.333 |
|
| 1988 |
Treves A, Amit DJ. Metastable states in asymmetrically diluted Hopfield networks Journal of Physics a: Mathematical and General. 21: 3155-3169. DOI: 10.1088/0305-4470/21/14/016 |
0.514 |
|
| 1987 |
Amit DJ, Gutfreund H, Sompolinsky H. Information storage in neural networks with low levels of activity. Physical Review. A. 35: 2293-2303. PMID 9898407 DOI: 10.1103/PhysRevA.35.2293 |
0.32 |
|
| 1987 |
Amit DJ, Gutfreund H, Sompolinsky H. Statistical mechanics of neural networks near saturation Annals of Physics. 173: 30-67. DOI: 10.1016/0003-4916(87)90092-3 |
0.308 |
|
| 1980 |
Amit DJ, Goldschmidt YY, Grinstein S. Renormalisation group analysis of the phase transition in the 2D Coulomb gas, Sine-Gordon theory and XY-model Journal of Physics a: Mathematical and General. 13: 585-620. DOI: 10.1088/0305-4470/13/2/024 |
0.535 |
|
| 1978 |
Amit DJ, Goldschmidt YY. Crossover at a bicritical point: Asymptotic behavior of a field theory with quadratic symmetry breaking Annals of Physics. 114: 356-409. DOI: 10.1016/0003-4916(78)90274-9 |
0.541 |
|
| 1978 |
Amit DJ, Goldschmidt YY, Peliti L. Cross-over behavior of the nonlinear σ-model with quadratically broken symmetry Annals of Physics. 116: 1-34. DOI: 10.1016/0003-4916(78)90002-7 |
0.54 |
|
| 1966 |
Amit D, Gross EP. Vortex rings in a bose fluid Physical Review. 145: 130-136. DOI: 10.1103/Physrev.145.130 |
0.427 |
|
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