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Daniel Amit - Publications

Affiliations: 
University of Rome La Sapienza, Roma, Lazio, Italy 
Area:
Computational Neuroscience
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47 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
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  0.694
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  0.701
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  0.719
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  0.574
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.  0.585
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  0.623
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  0.553
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  0.626
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  0.667
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  0.642
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  0.629
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  0.601
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  0.593
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  0.572
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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