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Stefano Fusi
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2020 – today
- 2024
- [c13]Matteo Alleman, Jack W. Lindsey, Stefano Fusi:
Task structure and nonlinearity jointly determine learned representational geometry. ICLR 2024 - [i2]Matteo Alleman, Jack W. Lindsey, Stefano Fusi:
Task structure and nonlinearity jointly determine learned representational geometry. CoRR abs/2401.13558 (2024) - 2022
- [j29]Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston
, Josh C. Bongard
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4(3): 196-210 (2022)
2010 – 2019
- 2017
- [c12]Marcus K. Benna, Stefano Fusi
Efficient online learning with low-precision synaptic variables. ACSSC 2017: 1610-1614 - 2016
- [j28]Daniel Martí, Mattia Rigotti
Energy-Efficient Neuromorphic Classifiers. Neural Comput. 28(10): 2011-2044 (2016) - 2015
- [i1]Daniel Martí, Mattia Rigotti, Mingoo Seok, Stefano Fusi:
Energy-efficient neuromorphic classifiers. CoRR abs/1507.00235 (2015) - 2013
- [j27]Srdjan Ostojic, Stefano Fusi
Synaptic encoding of temporal contiguity. Frontiers Comput. Neurosci. 7: 32 (2013) - [j26]Mattia Rigotti
The importance of mixed selectivity in complex cognitive tasks. Nat. 497(7451): 585-590 (2013) - [j25]Kiyohito Iigaya, Stefano Fusi
Dynamical Regimes in Neural Network Models of Matching Behavior. Neural Comput. 25(12): 3093-3112 (2013) - [j24]Alex Roxin
Efficient Partitioning of Memory Systems and Its Importance for Memory Consolidation. PLoS Comput. Biol. 9(7) (2013) - 2010
- [j23]Mattia Rigotti
Internal Representation of Task Rules by Recurrent Dynamics: The Importance of the Diversity of Neural Responses. Frontiers Comput. Neurosci. 4: 24 (2010) - [j22]Mattia Rigotti
Attractor concretion as a mechanism for the formation of context representations. NeuroImage 52(3): 833-847 (2010)
2000 – 2009
- 2009
- [j21]Eleni Vasilaki
Learning flexible sensori-motor mappings in a complex network. Biol. Cybern. 100(2): 147-158 (2009) - [j20]Srinjoy Mitra, Stefano Fusi
Real-Time Classification of Complex Patterns Using Spike-Based Learning in Neuromorphic VLSI. IEEE Trans. Biomed. Circuits Syst. 3(1): 32-42 (2009) - 2008
- [j19]Giancarlo La Camera
The response of cortical neurons to in vivo-like input current: theory and experiment. Biol. Cybern. 99(4-5): 279-301 (2008) - [j18]Michele Giugliano
The response of cortical neurons to in vivo-like input current: theory and experiment: II. Time-varying and spatially distributed inputs. Biol. Cybern. 99(4-5): 303-318 (2008) - 2007
- [j17]Daniel Ben Dayan Rubin
Long memory lifetimes require complex synapses and limited sparseness. Frontiers Comput. Neurosci. 1: 7 (2007) - [j16]Joseph M. Brader
Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynamics. Neural Comput. 19(11): 2881-2912 (2007) - [c11]Giacomo Indiveri
Spike-based learning in VLSI networks of integrate-and-fire neurons. ISCAS 2007: 3371-3374 - [c10]Srinjoy Mitra, Giacomo Indiveri, Stefano Fusi:
Learning to classify complex patterns using a VLSI network of spiking neurons. NIPS 2007: 1009-1016 - 2006
- [j15]Miruna Szabo, Martin Stetter, Gustavo Deco, Stefano Fusi
Learning to Attend: Modeling the Shaping of Selectivity in Infero-temporal Cortex in a Categorization Task. Biol. Cybern. 94(5): 351-365 (2006) - [c9]Srinjoy Mitra, Stefano Fusi
A VLSI spike-driven dynamic synapse which learns only when necessary. ISCAS 2006 - 2005
- [j14]Walter Senn
Learning Only When Necessary: Better Memories of Correlated Patterns in Networks with Bounded Synapses. Neural Comput. 17(10): 2106-2138 (2005) - 2004
- [j13]Giancarlo La Camera, Walter Senn
Comparison between networks of conductance- and current-driven neurons: stationary spike rates and subthreshold depolarization. Neurocomputing 58-60: 253-258 (2004) - [j12]Walter Senn
Slow stochastic learning with global inhibition: a biological solution to the binary perceptron problem. Neurocomputing 58-60: 321-326 (2004) - [j11]Giancarlo La Camera
Minimal Models of Adapted Neuronal Response to In Vivo-Like Input Currents. Neural Comput. 16(10): 2101-2124 (2004) - 2003
- [j10]Jan Reutimann, Michele Giugliano
Event-Driven Simulation of Spiking Neurons with Stochastic Dynamics. Neural Comput. 15(4): 811-830 (2003) - [j9]Elisabetta Chicca
A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory. IEEE Trans. Neural Networks 14(5): 1297-1307 (2003) - 2002
- [j8]Stefano Fusi
Hebbian spike-driven synaptic plasticity for learning patterns of mean firing rates. Biol. Cybern. 87(5-6): 459-470 (2002) - [c8]Michele Giugliano, Giancarlo La Camera, Alexander Rauch, Hans-Rudolf Lüscher, Stefano Fusi
Non-monotonic Current-to-Rate Response Function in a Novel Integrate-and-Fire Model Neuron. ICANN 2002: 141-146 - [c7]Giancarlo La Camera, Alexander Rauch, Walter Senn
Firing Rate Adaptation without Losing Sensitivity to Input Fluctuations. ICANN 2002: 180-185 - [c6]Alessandro Usseglio Viretta, Stefano Fusi
Encoding the Temporal Statistics of Markovian Sequences of Stimuli in Recurrent Neuronal Networks. ICANN 2002: 204-209 - [c5]Giancarlo La Camera, Stefano Fusi
When NMDA Receptor Conductances Increase Inter-spike Interval Variability. ICANN 2002: 235-240 - [c4]Stefano Fusi
Spike-Driven Synaptic Plasticity for Learning Correlated Patterns of Asynchronous Activity. ICANN 2002: 241-247 - 2001
- [j7]Stefano Fusi
Long term memory: Encoding and storing strategies of the brain. Neurocomputing 38-40: 1223-1228 (2001) - [j6]Jan Reutimann, Stefano Fusi
A model of expectation effects in inferior temporal cortex. Neurocomputing 38-40: 1533-1540 (2001) - 2000
- [j5]Stefano Fusi
Spike-Driven Synaptic Plasticity: Theory, Simulation, VLSI Implementation. Neural Comput. 12(10): 2227-2258 (2000) - [c3]Stefano Fusi, Paolo Del Giudice, Daniel J. Amit:
Neurophysiology of a VLSI Spiking Neural Network: LANN21. IJCNN (3) 2000: 121-126
1990 – 1999
- 1999
- [j4]Stefano Fusi
Collective Behavior of Networks with Linear (VLSI) Integrate-and-Fire Neurons. Neural Comput. 11(3): 633-652 (1999) - 1997
- [j3]Daniel J. Amit, Stefano Fusi
Paradigmatic Working Memory (Attractor) Cell in IT Cortex. Neural Comput. 9(5): 1071-1092 (1997) - [c2]Maurizio Mattia, Stefano Fusi
Modeling Networks with Linear (VLSI) Integrate-and-Fire Neurons. ICANN 1997: 67-72 - [c1]Paolo Del Giudice, Stefano Fusi
Attractor Dynamics in an Electronic Neural Network. ICANN 1997: 1265-1270 - 1994
- [j2]Daniel J. Amit, Stefano Fusi
Learning in Neural Networks with Material Synapses. Neural Comput. 6(5): 957-982 (1994) - 1992
- [j1]Stefano Fusi
Learning Constraints in Storage Capacity in Networks with Dynamic Synapses. Int. J. Neural Syst. 3(Supplement): 3-11 (1992)
Coauthor Index
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last updated on 2024-10-07 21:13 CEST by the dblp team
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