Stefano Fusi - Publications

Affiliations: 
Neuroscience Columbia University, New York, NY 
Area:
theoretical neuroscience
Website:
http://www.ini.unizh.ch/~fusi/

69 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any innacuracies, 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
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  1
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  1
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  1
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  1
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  1
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  1
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  0.84
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  1
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  1
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  1
2013 Ostojic S, Fusi S. Synaptic encoding of temporal contiguity. Frontiers in Computational Neuroscience. 7: 32. PMID 23641210 DOI: 10.3389/fncom.2013.00032  1
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  1
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  1
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  1
2012 Craig ES, Walker ME, Fusi S. Venous thromboembolism risk factors in breast cancer patients undergoing deep inferior epigastric perforator flap reconstruction. Microsurgery. 32: 334-5. PMID 22437263 DOI: 10.1002/micr.21979  0.28
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  1
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  1
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  1
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  1
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  1
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 1
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  1
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  1
2008 Fusi S. Neuroscience. A quiescent working memory. Science (New York, N.Y.). 319: 1495-6. PMID 18339929 DOI: 10.1126/science.1155914  1
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  1
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  1
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  1
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  1
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  1
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  1
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.  1
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  1
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  1
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  1
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.  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
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  1
2003 Fusi S. Spike-driven synaptic plasticity for learning correlated patterns of mean firing rates. Reviews in the Neurosciences. 14: 73-84. PMID 12929920  1
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  1
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  1
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  1
2002 Fusi S. Spike-driven synaptic plasticity for learning correlated patterns of asynchronous activity Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 241-247.  1
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.  1
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.  1
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.  1
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.  1
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  1
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  1
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  1
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  1
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.  1
1999 Fusi S, Mattia M. Collective behavior of networks with linear (VLSI) integrate-and-fire neurons. Neural Computation. 11: 633-52. PMID 10085424  1
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  1
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  1
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  1
1997 Amit DJ, Fusi S, Yakovlev V. Paradigmatic working memory (attractor) cell in IT cortex. Neural Computation. 9: 1071-92. PMID 9188192  1
1997 Del Giudice P, Fusi S. Attractor dynamics in an electronic neural network Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1327: 1265-1270.  1
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.  1
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  1
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  1
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  1
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