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Stefano Fusi - Publications

Affiliations: 
Neuroscience Columbia University, New York, NY 
Area:
theoretical neuroscience
Website:
http://www.ini.unizh.ch/~fusi/
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95 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
2024 Boyle LM, Posani L, Irfan S, Siegelbaum SA, Fusi S. Tuned geometries of hippocampal representations meet the computational demands of social memory. Neuron. PMID 38382521 DOI: 10.1016/j.neuron.2024.01.021  0.534
2023 Courellis HS, Mixha J, Cardenas AR, Kimmel D, Reed CM, Valiante TA, Salzman CD, Mamelak AN, Adolphs R, Fusi S, Rutishauser U. Abstract representations emerge in human hippocampal neurons during inference behavior. Biorxiv : the Preprint Server For Biology. PMID 37986878 DOI: 10.1101/2023.11.10.566490  0.709
2023 Lim SC, Fusi S, Hen R. Ventral CA1 Population Codes for Anxiety. Biorxiv : the Preprint Server For Biology. PMID 37808689 DOI: 10.1101/2023.09.25.559358  0.456
2023 O'Neill PK, Posani L, Meszaros J, Warren P, Schoonover CE, Fink AJP, Fusi S, Salzman CD. The representational geometry of emotional states in basolateral amygdala. Biorxiv : the Preprint Server For Biology. PMID 37790470 DOI: 10.1101/2023.09.23.558668  0.684
2023 Ostojic S, Fusi S. The computational role of structure in neural activity and connectivity. Arxiv. PMID 37693175  0.53
2022 Ji-An L, Stefanini F, Benna MK, Fusi S. Face familiarity detection with complex synapses. Iscience. 26: 105856. PMID 36636347 DOI: 10.1016/j.isci.2022.105856  0.625
2022 Kaufman MT, Benna MK, Rigotti M, Stefanini F, Fusi S, Churchland AK. The implications of categorical and category-free mixed selectivity on representational geometries. Current Opinion in Neurobiology. 77: 102644. PMID 36332415 DOI: 10.1016/j.conb.2022.102644  0.785
2021 Rodgers CC, Nogueira R, Pil BC, Greeman EA, Park JM, Hong YK, Fusi S, Bruno RM. Sensorimotor strategies and neuronal representations for shape discrimination. Neuron. PMID 34133944 DOI: 10.1016/j.neuron.2021.05.019  0.302
2020 Donegan ML, Stefanini F, Meira T, Gordon JA, Fusi S, Siegelbaum SA. Coding of social novelty in the hippocampal CA2 region and its disruption and rescue in a 22q11.2 microdeletion mouse model. Nature Neuroscience. 23: 1365-1375. PMID 33077947 DOI: 10.1038/s41593-020-00720-5  0.682
2020 Bernardi S, Benna MK, Rigotti M, Munuera J, Fusi S, Salzman CD. The Geometry of Abstraction in the Hippocampus and Prefrontal Cortex. Cell. PMID 33058757 DOI: 10.1016/j.cell.2020.09.031  0.798
2020 Cueva CJ, Saez A, Marcos E, Genovesio A, Jazayeri M, Romo R, Salzman CD, Shadlen MN, Fusi S. Low-dimensional dynamics for working memory and time encoding. Proceedings of the National Academy of Sciences of the United States of America. PMID 32859756 DOI: 10.1073/Pnas.1915984117  0.715
2020 Minxha J, Adolphs R, Fusi S, Mamelak AN, Rutishauser U. Flexible recruitment of memory-based choice representations by the human medial frontal cortex. Science (New York, N.Y.). 368. PMID 32586990 DOI: 10.1126/Science.Aba3313  0.385
2020 Stefanini F, Kushnir L, Jimenez JC, Jennings JH, Woods NI, Stuber GD, Kheirbek MA, Hen R, Fusi S. A Distributed Neural Code in the Dentate Gyrus and in CA1. Neuron. PMID 32521223 DOI: 10.1016/J.Neuron.2020.05.022  0.738
2020 Ahmed MS, Priestley JB, Castro A, Stefanini F, Solis Canales AS, Balough EM, Lavoie E, Mazzucato L, Fusi S, Losonczy A. Hippocampal Network Reorganization Underlies the Formation of a Temporal Association Memory. Neuron. PMID 32392472 DOI: 10.1016/J.Neuron.2020.04.013  0.664
2020 Gulli RA, Duong LR, Corrigan BW, Doucet G, Williams S, Fusi S, Martinez-Trujillo JC. Context-dependent representations of objects and space in the primate hippocampus during virtual navigation. Nature Neuroscience. 23: 103-112. PMID 31873285 DOI: 10.1038/S41593-019-0548-3  0.806
2019 Iigaya K, Ahmadian Y, Sugrue LP, Corrado GS, Loewenstein Y, Newsome WT, Fusi S. Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales. Nature Communications. 10: 1466. PMID 30931937 DOI: 10.1038/S41467-019-09388-3  0.687
2019 Strukov D, Indiveri G, Grollier J, Fusi S. Building brain-inspired computing Nature Communications. DOI: 10.3929/Ethz-B-000394590  0.476
2018 Kushnir L, Fusi S. Neural classifiers with limited connectivity and recurrent readouts. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 30249794 DOI: 10.1523/JNEUROSCI.3506-17.2018  0.464
2018 Ahmed M, Priestley J, Castro A, Stefanini F, Balough E, Lavoie E, Mazzucato L, Fusi S, Losonczy A. O18. Changes in Effective Hippocampal Network Coupling Mediate Learning and Memory of Associations Between Temporally Discontiguous Stimuli Biological Psychiatry. 83: S115. DOI: 10.1016/J.Biopsych.2018.02.304  0.341
2017 Lindsay GW, Rigotti M, Warden MR, Miller EK, Fusi S. Hebbian Learning in a Random Network Captures Selectivity Properties of Prefrontal Cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 28986463 DOI: 10.1523/Jneurosci.1222-17.2017  0.741
2017 Bernardi S, Munuera J, Rigotti M, Fusi S, Salzman D. 672. Neural Mechanisms Underlying the Cognitive Regulation of Value Attribution: Abstraction of Contextual Information in the Monkey Hippocampus Biological Psychiatry. 81: S272. DOI: 10.1016/J.Biopsych.2017.02.1081  0.697
2016 Benna MK, Fusi S. Computational principles of synaptic memory consolidation. Nature Neuroscience. PMID 27694992 DOI: 10.1038/nn.4401  0.362
2016 Martí D, Rigotti M, Soek M, Fusi S. Energy-Efficient Neuromorphic Classifiers. Neural Computation. 1-34. PMID 27557100 DOI: 10.1162/Neco_A_00882  0.698
2016 Fusi S, Miller EK, Rigotti M. Why neurons mix: high dimensionality for higher cognition. Current Opinion in Neurobiology. 37: 66-74. PMID 26851755 DOI: 10.1016/J.Conb.2016.01.010  0.761
2015 Saez A, Rigotti M, Ostojic S, Fusi S, Salzman CD. Abstract Context Representations in Primate Amygdala and Prefrontal Cortex. Neuron. 87: 869-81. PMID 26291167 DOI: 10.1016/J.Neuron.2015.07.024  0.787
2015 Spellman T, Rigotti M, Ahmari SE, Fusi S, Gogos JA, Gordon JA. Hippocampal-prefrontal input supports spatial encoding in working memory. Nature. 522: 309-14. PMID 26053122 DOI: 10.1038/Nature14445  0.708
2015 Benna MK, Fusi S. Complex synapses as efficient memory systems Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-F1  0.376
2015 Saez A, Rigotti M, Ostojic S, Fusi S, Salzman CD. Abstract Context Representations in Primate Amygdala and Prefrontal Cortex Neuron. 87: 869-881. DOI: 10.1016/j.neuron.2015.07.024  0.759
2014 Lindsay G, Rigotti M, Warden MR, Miller EK, Fusi S. Hebbian-inspired rewiring of a random network replicates pattern of selectivity seen in PFC Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P160  0.761
2013 Drew LJ, Fusi S, Hen R. Adult neurogenesis in the mammalian hippocampus: why the dentate gyrus? Learning & Memory (Cold Spring Harbor, N.Y.). 20: 710-29. PMID 24255101 DOI: 10.1101/lm.026542.112  0.557
2013 Iigaya K, Fusi S. Dynamical regimes in neural network models of matching behavior. Neural Computation. 25: 3093-112. PMID 24047324 DOI: 10.1162/Neco_A_00522  0.717
2013 Roxin A, Fusi S. Efficient partitioning of memory systems and its importance for memory consolidation. Plos Computational Biology. 9: e1003146. PMID 23935470 DOI: 10.1371/Journal.Pcbi.1003146  0.667
2013 Rigotti M, Barak O, Warden MR, Wang XJ, Daw ND, Miller EK, Fusi S. The importance of mixed selectivity in complex cognitive tasks. Nature. 497: 585-90. PMID 23685452 DOI: 10.1038/Nature12160  0.827
2013 Ostojic S, Fusi S. Synaptic encoding of temporal contiguity. Frontiers in Computational Neuroscience. 7: 32. PMID 23641210 DOI: 10.3389/fncom.2013.00032  0.614
2013 Miller EK, Fusi S. Limber neurons for a nimble mind. Neuron. 78: 211-3. PMID 23622059 DOI: 10.1016/j.neuron.2013.04.007  0.447
2013 Barak O, Rigotti M, Fusi S. The sparseness of mixed selectivity neurons controls the generalization-discrimination trade-off. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 33: 3844-56. PMID 23447596 DOI: 10.1523/Jneurosci.2753-12.2013  0.821
2013 Martí D, Barak O, Rigotti M, Fusi S. Scalability properties of multimodular networks with dynamic gating Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P136  0.815
2012 Pannunzi M, Gigante G, Mattia M, Deco G, Fusi S, Del Giudice P. Learning selective top-down control enhances performance in a visual categorization task. Journal of Neurophysiology. 108: 3124-37. PMID 22972954 DOI: 10.1152/Jn.00208.2012  0.491
2011 DePasquale BD, Fusi S. Memory capacity of a random, recurrently connected network of neurons with multiple, biologically realistic facilitation and adaptation profiles Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P115  0.474
2010 Rigotti M, Ben Dayan Rubin D, Wang XJ, Fusi S. Internal representation of task rules by recurrent dynamics: the importance of the diversity of neural responses. Frontiers in Computational Neuroscience. 4: 24. PMID 21048899 DOI: 10.3389/Fncom.2010.00024  0.821
2010 Salzman CD, Fusi S. Emotion, cognition, and mental state representation in amygdala and prefrontal cortex. Annual Review of Neuroscience. 33: 173-202. PMID 20331363 DOI: 10.1146/annurev.neuro.051508.135256  0.662
2010 Rigotti M, Ben Dayan Rubin D, Morrison SE, Salzman CD, Fusi S. Attractor concretion as a mechanism for the formation of context representations. Neuroimage. 52: 833-47. PMID 20100580 DOI: 10.1016/J.Neuroimage.2010.01.047  0.778
2009 Mitra S, Fusi S, Indiveri G. Real-Time Classification of Complex Patterns Using Spike-Based Learning in Neuromorphic VLSI. Ieee Transactions On Biomedical Circuits and Systems. 3: 32-42. PMID 23853161 DOI: 10.1109/TBCAS.2008.2005781  0.644
2009 Vasilaki E, Fusi S, Wang XJ, Senn W. Learning flexible sensori-motor mappings in a complex network. Biological Cybernetics. 100: 147-58. PMID 19153762 DOI: 10.1007/s00422-008-0288-z  0.794
2009 Chersi F, Rigotti M, Fusi S. Power-law autocorrelation of neural activity in models of mental states that are hierarchically organized Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P292  0.728
2009 Mitra S, Indiveri G, Fusi S. Learning to classify complex patterns using a VLSI network of spiking neurons Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference.  0.58
2008 Giugliano M, La Camera G, Fusi S, Senn W. The response of cortical neurons to in vivo-like input current: theory and experiment: II. Time-varying and spatially distributed inputs. Biological Cybernetics. 99: 303-18. PMID 19011920 DOI: 10.1007/s00422-008-0270-9  0.832
2008 La Camera G, Giugliano M, Senn W, Fusi S. The response of cortical neurons to in vivo-like input current: theory and experiment : I. Noisy inputs with stationary statistics. Biological Cybernetics. 99: 279-301. PMID 18985378 DOI: 10.1007/s00422-008-0272-7  0.834
2008 Köndgen H, Geisler C, Fusi S, Wang XJ, Lüscher HR, Giugliano M. The dynamical response properties of neocortical neurons to temporally modulated noisy inputs in vitro. Cerebral Cortex (New York, N.Y. : 1991). 18: 2086-97. PMID 18263893 DOI: 10.1093/cercor/bhm235  0.778
2007 Ben Dayan Rubin DD, Fusi S. Long memory lifetimes require complex synapses and limited sparseness. Frontiers in Computational Neuroscience. 1: 7. PMID 18946529 DOI: 10.3389/neuro.10.007.2007  0.796
2007 Brader JM, Senn W, Fusi S. Learning real-world stimuli in a neural network with spike-driven synaptic dynamics. Neural Computation. 19: 2881-912. PMID 17883345 DOI: 10.1162/neco.2007.19.11.2881  0.8
2007 Fusi S, Asaad WF, Miller EK, Wang XJ. A neural circuit model of flexible sensorimotor mapping: learning and forgetting on multiple timescales. Neuron. 54: 319-33. PMID 17442251 DOI: 10.1016/j.neuron.2007.03.017  0.544
2007 Fusi S, Abbott LF. Limits on the memory storage capacity of bounded synapses. Nature Neuroscience. 10: 485-93. PMID 17351638 DOI: 10.1038/nn1859  0.676
2007 Mitra S, Indiveri G, Fusi S. Robust classification of correlated patterns with a neuromorphic VLSI network of spiking neurons Conference Proceedings - Ieee Biomedical Circuits and Systems Conference Healthcare Technology, Biocas2007. 87-90. DOI: 10.1109/BIOCAS.2007.4463315  0.575
2007 Indiveri G, Fusi S. Spike-based learning in VLSI networks of integrate-and-fire neurons Proceedings - Ieee International Symposium On Circuits and Systems. 3371-3374.  0.587
2006 Fusi S, Senn W. Eluding oblivion with smart stochastic selection of synaptic updates. Chaos (Woodbury, N.Y.). 16: 026112. PMID 16822044 DOI: 10.1063/1.2213587  0.753
2006 La Camera G, Rauch A, Thurbon D, Lüscher HR, Senn W, Fusi S. Multiple time scales of temporal response in pyramidal and fast spiking cortical neurons. Journal of Neurophysiology. 96: 3448-64. PMID 16807345 DOI: 10.1152/Jn.00453.2006  0.803
2006 Szabo M, Deco G, Fusi S, Del Giudice P, Mattia M, Stetter M. Learning to attend: modeling the shaping of selectivity in infero-temporal cortex in a categorization task. Biological Cybernetics. 94: 351-65. PMID 16555071 DOI: 10.1007/S00422-006-0054-Z  0.484
2006 Mitra S, Fusi S, Indiveri G. A VLSI spike-driven dynamic synapse which learns only when necessary Proceedings - Ieee International Symposium On Circuits and Systems. 2777-2780.  0.522
2005 Coath M, Brader JM, Fusi S, Denham SL. Multiple views of the response of an ensemble of spectro-temporal features support concurrent classification of utterance, prosody, sex and speaker identity. Network (Bristol, England). 16: 285-300. PMID 16411500 DOI: 10.1080/09548980500290120  0.39
2005 Senn W, Fusi S. Learning only when necessary: better memories of correlated patterns in networks with bounded synapses. Neural Computation. 17: 2106-38. PMID 16105220 DOI: 10.1162/0899766054615644  0.79
2005 Senn W, Fusi S. Convergence of stochastic learning in perceptrons with binary synapses. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 71: 061907. PMID 16089765 DOI: 10.1103/PhysRevE.71.061907  0.76
2005 Fusi S, Drew PJ, Abbott LF. Cascade models of synaptically stored memories. Neuron. 45: 599-611. PMID 15721245 DOI: 10.1016/j.neuron.2005.02.001  0.677
2004 La Camera G, Rauch A, Lüscher HR, Senn W, Fusi S. Minimal models of adapted neuronal response to in vivo-like input currents. Neural Computation. 16: 2101-24. PMID 15333209 DOI: 10.1162/0899766041732468  0.809
2004 Reutimann J, Yakovlev V, Fusi S, Senn W. Climbing neuronal activity as an event-based cortical representation of time. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 24: 3295-303. PMID 15056709 DOI: 10.1523/JNEUROSCI.4098-03.2004  0.764
2004 Senn W, Fusi S. Slow stochastic learning with global inhibition: A biological solution to the binary perceptron problem Neurocomputing. 58: 321-326. DOI: 10.1016/j.neucom.2004.01.062  0.773
2004 La Camera G, Senn W, Fusi S. Comparison between networks of conductance- and current-driven neurons: Stationary spike rates and subthreshold depolarization Neurocomputing. 58: 253-258. DOI: 10.1016/j.neucom.2004.01.052  0.818
2003 Chicca E, Badoni D, Dante V, D'Andreagiovanni M, Salina G, Carota L, Fusi S, Del Giudice P. A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 14: 1297-307. PMID 18244578 DOI: 10.1109/Tnn.2003.816367  0.446
2003 Del Giudice P, Fusi S, Mattia M. Modelling the formation of working memory with networks of integrate-and-fire neurons connected by plastic synapses. Journal of Physiology, Paris. 97: 659-81. PMID 15242673 DOI: 10.1016/J.Jphysparis.2004.01.021  0.45
2003 Fusi S. Spike-driven synaptic plasticity for learning correlated patterns of mean firing rates. Reviews in the Neurosciences. 14: 73-84. PMID 12929920 DOI: 10.1515/Revneuro.2003.14.1-2.73  0.414
2003 Rauch A, La Camera G, Luscher HR, Senn W, Fusi S. Neocortical pyramidal cells respond as integrate-and-fire neurons to in vivo-like input currents. Journal of Neurophysiology. 90: 1598-612. PMID 12750422 DOI: 10.1152/jn.00293.2003  0.797
2003 Reutimann J, Giugliano M, Fusi S. Event-driven simulation of spiking neurons with stochastic dynamics. Neural Computation. 15: 811-30. PMID 12689388 DOI: 10.1162/08997660360581912  0.674
2002 Fusi S. Hebbian spike-driven synaptic plasticity for learning patterns of mean firing rates. Biological Cybernetics. 87: 459-70. PMID 12461635 DOI: 10.1007/s00422-002-0356-8  0.44
2002 Viretta AU, Fusi S, Liu SC. Encoding the temporal statistics of markovian sequences of stimuli in recurrent neuronal networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 204-209.  0.309
2002 La Camera G, Fusi S, Senn W, Rauch A, Lüscher HR. When NMDA receptor conductances increase inter-spike interval variability Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 235-240.  0.741
2002 Giugliano M, La Camera G, Rauch A, Lüscher HR, Fusi S. Non-monotonic current-to-rate response function in a novel integrate-and-fire model neuron Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 141-146.  0.795
2002 La Camera G, Rauch A, Senn W, Lüscher HR, Fusi S. Firing rate adaptation without losing sensitivity to input fluctuations Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 180-185.  0.767
2001 Rosenthal O, Fusi S, Hochstein S. Forming classes by stimulus frequency: behavior and theory. Proceedings of the National Academy of Sciences of the United States of America. 98: 4265-70. PMID 11259678 DOI: 10.1073/pnas.071525998  0.348
2001 Fusi S. Long term memory: Encoding and storing strategies of the brain Neurocomputing. 38: 1223-1228. DOI: 10.1016/S0925-2312(01)00571-9  0.365
2001 Reutimann J, Fusi S, Senn W, Yakovlev V, Zohary E. A model of expectation effects in inferior temporal cortex Neurocomputing. 38: 1533-1540. DOI: 10.1016/S0925-2312(01)00551-3  0.743
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  0.642
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.  0.573
1999 Fusi S, Mattia M. Collective behavior of networks with linear (VLSI) integrate-and-fire neurons. Neural Computation. 11: 633-52. PMID 10085424 DOI: 10.1162/089976699300016601  0.483
1998 Yakovlev V, Fusi S, Berman E, Zohary E. Inter-trial neuronal activity in inferior temporal cortex: a putative vehicle to generate long-term visual associations. Nature Neuroscience. 1: 310-7. PMID 10195165 DOI: 10.1038/1131  0.423
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  0.678
1998 Brunel N, Carusi F, Fusi S. Slow stochastic Hebbian learning of classes of stimuli in a recurrent neural network. Network (Bristol, England). 9: 123-52. PMID 9861982 DOI: 10.1088/0954-898X_9_1_007  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  0.619
1997 Yakovlev V, Fusi S, Berman E, Zohary E. The formation of visual associative memory: What is the role of neuronal delay activity? Neuroscience Letters. 237: S53. DOI: 10.1016/S0304-3940(97)90217-2  0.386
1997 Fusi S, Annunziato M. Synaptic learning from presynaptic spike rate and postsynaptic depolarization: Characteristics and electronic implementation Neuroscience Letters. 237: S17. DOI: 10.1016/S0304-3940(97)90068-9  0.348
1997 Mattia M, Fusi S. Modeling networks with linear (VLSI) integrate-and-fire neurons Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1327: 67-72.  0.313
1995 Battaglia FP, Fusi S. Learning in neural networks with partially structured synaptic transitions Network: Computation in Neural Systems. 6: 261-270. DOI: 10.1088/0954-898X_6_2_007  0.357
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  0.667
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  0.667
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  0.642
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  0.639
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