Stefano Fusi - researchr alias

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Viewing Publication 1 - 42 from 42

2024

Task structure and nonlinearity jointly determine learned representational geometryMatteo Alleman, Jack W. Lindsey, Stefano Fusi. iclr 2024: [doi]

2022

2017

Efficient online learning with low-precision synaptic variablesMarcus K. Benna, Stefano Fusi. acssc 2017: 1610-1614 [doi]

2016

Energy-Efficient Neuromorphic ClassifiersDaniel Martí, Mattia Rigotti, Mingoo Seok, Stefano Fusi. neco, 28(10):2011-2044, 2016. [doi]

2013

2010

Attractor concretion as a mechanism for the formation of context representationsMattia Rigotti, Daniel Ben Dayan Rubin, Sara E. Morrison, C. Daniel Salzman, Stefano Fusi. neuroimage, 52(3):833-847, 2010. [doi]

Internal Representation of Task Rules by Recurrent Dynamics: The Importance of the Diversity of Neural ResponsesMattia Rigotti, Daniel Ben Dayan Rubin, Xiao-Jing Wang, Stefano Fusi. ficn, 2010:24, 2010. [doi]

2009

Real-Time Classification of Complex Patterns Using Spike-Based Learning in Neuromorphic VLSISrinjoy Mitra, Stefano Fusi, Giacomo Indiveri. tbcas, 3(1):32-42, 2009. [doi]

Learning flexible sensori-motor mappings in a complex networkEleni Vasilaki, Stefano Fusi, Xiao-Jing Wang, Walter Senn. bc, 100(2):147-158, 2009. [doi]

2008

The response of cortical neurons to in vivo-like input current: theory and experimentGiancarlo La Camera, Michele Giugliano, Walter Senn, Stefano Fusi. bc, 99(4-5):279-301, 2008. [doi]

The response of cortical neurons to in vivo-like input current: theory and experiment: II. Time-varying and spatially distributed inputsMichele Giugliano, Giancarlo La Camera, Stefano Fusi, Walter Senn. bc, 99(4-5):303-318, 2008. [doi]

2007

2006

A VLSI spike-driven dynamic synapse which learns only when necessaryS. Mitra, Stefano Fusi, Giacomo Indiveri. iscas 2006: [doi]

Learning to Attend: Modeling the Shaping of Selectivity in Infero-temporal Cortex in a Categorization TaskMiruna Szabo, Martin Stetter, Gustavo Deco, Stefano Fusi, Paolo Del Giudice, Maurizio Mattia. bc, 94(5):351-365, 2006. [doi]

2005

Learning Only When Necessary: Better Memories of Correlated Patterns in Networks with Bounded SynapsesWalter Senn, Stefano Fusi. neco, 17(10):2106-2138, 2005. [doi]

2004

Minimal Models of Adapted Neuronal Response to In Vivo-Like Input CurrentsGiancarlo La Camera, Alexander Rauch, Hans-Rudolf Lüscher, Walter Senn, Stefano Fusi. neco, 16(10):2101-2124, 2004. [doi]

Comparison between networks of conductance- and current-driven neurons: stationary spike rates and subthreshold depolarizationGiancarlo La Camera, Walter Senn, Stefano Fusi. ijon, 58-60:253-258, 2004. [doi]

Slow stochastic learning with global inhibition: a biological solution to the binary perceptron problemWalter Senn, Stefano Fusi. ijon, 58-60:321-326, 2004. [doi]

2003

A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memoryElisabetta Chicca, Davide Badoni, Vittorio Dante, Massimo D'Andreagiovanni, Gaetano Salina, Luciana Carota, Stefano Fusi, Paolo Del Giudice. tnn, 14(5):1297-1307, 2003. [doi]

Event-Driven Simulation of Spiking Neurons with Stochastic DynamicsJan Reutimann, Michele Giugliano, Stefano Fusi. neco, 15(4):811-830, 2003. [doi]

2002

Firing Rate Adaptation without Losing Sensitivity to Input FluctuationsGiancarlo La Camera, Alexander Rauch, Walter Senn, Hans-Rudolf Lüscher, Stefano Fusi. icann 2002: 180-185 [doi]

When NMDA Receptor Conductances Increase Inter-spike Interval VariabilityGiancarlo La Camera, Stefano Fusi, Walter Senn, Alexander Rauch, Hans-Rudolf Lüscher. icann 2002: 235-240 [doi]

Spike-Driven Synaptic Plasticity for Learning Correlated Patterns of Asynchronous ActivityStefano Fusi. icann 2002: 241-247 [doi]

Hebbian spike-driven synaptic plasticity for learning patterns of mean firing ratesStefano Fusi. bc, 87(5-6):459-470, 2002. [doi]

Non-monotonic Current-to-Rate Response Function in a Novel Integrate-and-Fire Model NeuronMichele Giugliano, Giancarlo La Camera, Alexander Rauch, Hans-Rudolf Lüscher, Stefano Fusi. icann 2002: 141-146 [doi]

Encoding the Temporal Statistics of Markovian Sequences of Stimuli in Recurrent Neuronal NetworksAlessandro Usseglio Viretta, Stefano Fusi, Shih-Chii Liu. icann 2002: 204-209 [doi]

2001

Long term memory: Encoding and storing strategies of the brainStefano Fusi. ijon, 38-40:1223-1228, 2001. [doi]

A model of expectation effects in inferior temporal cortexJan Reutimann, Stefano Fusi, Walter Senn, Volodya Yakovlev, Ehud Zohary. ijon, 38-40:1533-1540, 2001. [doi]

2000

Neurophysiology of a VLSI Spiking Neural Network: LANN21Stefano Fusi, Paolo Del Giudice, Daniel J. Amit. ijcnn 2000: 121-126 [doi]

Spike-Driven Synaptic Plasticity: Theory, Simulation, VLSI ImplementationStefano Fusi, Mario Annunziato, Davide Badoni, Andrea Salamon, Daniel J. Amit. neco, 12(10):2227-2258, 2000.

1999

Collective Behavior of Networks with Linear (VLSI) Integrate-and-Fire NeuronsStefano Fusi, Maurizio Mattia. neco, 11(3):633-652, 1999.

1997

Paradigmatic Working Memory (Attractor) Cell in IT CortexDaniel J. Amit, Stefano Fusi, Volodya Yakovlev. neco, 9(5):1071-1092, 1997. [doi]

Attractor Dynamics in an Electronic Neural NetworkPaolo Del Giudice, Stefano Fusi. icann 1997: 1265-1270

Modeling Networks with Linear (VLSI) Integrate-and-Fire NeuronsMaurizio Mattia, Stefano Fusi. icann 1997: 67-72

1994

Learning in Neural Networks with Material SynapsesDaniel J. Amit, Stefano Fusi. neco, 6(5):957-982, 1994. [doi]

1992

Learning Constraints in Storage Capacity in Networks with Dynamic SynapsesStefano Fusi, Daniel J. Amit. IJNS, 3(Supplement):3-11, 1992. [doi]

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