Stefano Fusi

Orcid: 0000-0002-3035-6652

According to our database1, Stefano Fusi authored at least 42 papers between 1992 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Task structure and nonlinearity jointly determine learned representational geometry.
CoRR, 2024

2022
Biological underpinnings for lifelong learning machines.
Nat. Mach. Intell., 2022

2017
Efficient online learning with low-precision synaptic variables.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Energy-Efficient Neuromorphic Classifiers.
Neural Comput., 2016

2013
Efficient Partitioning of Memory Systems and Its Importance for Memory Consolidation.
PLoS Comput. Biol., 2013

Dynamical Regimes in Neural Network Models of Matching Behavior.
Neural Comput., 2013

The importance of mixed selectivity in complex cognitive tasks.
Nat., 2013

Synaptic encoding of temporal contiguity.
Frontiers Comput. Neurosci., 2013

2010
Attractor concretion as a mechanism for the formation of context representations.
NeuroImage, 2010

Internal Representation of Task Rules by Recurrent Dynamics: The Importance of the Diversity of Neural Responses.
Frontiers Comput. Neurosci., 2010

2009
Real-Time Classification of Complex Patterns Using Spike-Based Learning in Neuromorphic VLSI.
IEEE Trans. Biomed. Circuits Syst., 2009

Learning flexible sensori-motor mappings in a complex network.
Biol. Cybern., 2009

2008
The response of cortical neurons to in vivo-like input current: theory and experiment: II. Time-varying and spatially distributed inputs.
Biol. Cybern., 2008

The response of cortical neurons to in vivo-like input current: theory and experiment.
Biol. Cybern., 2008

2007
Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynamics.
Neural Comput., 2007

Long memory lifetimes require complex synapses and limited sparseness.
Frontiers Comput. Neurosci., 2007

Learning to classify complex patterns using a VLSI network of spiking neurons.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Spike-based learning in VLSI networks of integrate-and-fire neurons.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

2006
Learning to Attend: Modeling the Shaping of Selectivity in Infero-temporal Cortex in a Categorization Task.
Biol. Cybern., 2006

A VLSI spike-driven dynamic synapse which learns only when necessary.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

2005
Learning Only When Necessary: Better Memories of Correlated Patterns in Networks with Bounded Synapses.
Neural Comput., 2005

2004
Minimal Models of Adapted Neuronal Response to In Vivo-Like Input Currents.
Neural Comput., 2004

Slow stochastic learning with global inhibition: a biological solution to the binary perceptron problem.
Neurocomputing, 2004

Comparison between networks of conductance- and current-driven neurons: stationary spike rates and subthreshold depolarization.
Neurocomputing, 2004

2003
A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory.
IEEE Trans. Neural Networks, 2003

Event-Driven Simulation of Spiking Neurons with Stochastic Dynamics.
Neural Comput., 2003

2002
Hebbian spike-driven synaptic plasticity for learning patterns of mean firing rates.
Biol. Cybern., 2002

Encoding the Temporal Statistics of Markovian Sequences of Stimuli in Recurrent Neuronal Networks.
Proceedings of the Artificial Neural Networks, 2002

Non-monotonic Current-to-Rate Response Function in a Novel Integrate-and-Fire Model Neuron.
Proceedings of the Artificial Neural Networks, 2002

Spike-Driven Synaptic Plasticity for Learning Correlated Patterns of Asynchronous Activity.
Proceedings of the Artificial Neural Networks, 2002

Firing Rate Adaptation without Losing Sensitivity to Input Fluctuations.
Proceedings of the Artificial Neural Networks, 2002

When NMDA Receptor Conductances Increase Inter-spike Interval Variability.
Proceedings of the Artificial Neural Networks, 2002

2001
A model of expectation effects in inferior temporal cortex.
Neurocomputing, 2001

Long term memory: Encoding and storing strategies of the brain.
Neurocomputing, 2001

2000
Spike-Driven Synaptic Plasticity: Theory, Simulation, VLSI Implementation.
Neural Comput., 2000

Neurophysiology of a VLSI Spiking Neural Network: LANN21.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Collective Behavior of Networks with Linear (VLSI) Integrate-and-Fire Neurons.
Neural Comput., 1999

1997
Paradigmatic Working Memory (Attractor) Cell in IT Cortex.
Neural Comput., 1997

Modeling Networks with Linear (VLSI) Integrate-and-Fire Neurons.
Proceedings of the Artificial Neural Networks, 1997

Attractor Dynamics in an Electronic Neural Network.
Proceedings of the Artificial Neural Networks, 1997

1994
Learning in Neural Networks with Material Synapses.
Neural Comput., 1994

1992
Learning Constraints in Storage Capacity in Networks with Dynamic Synapses.
Int. J. Neural Syst., 1992


  Loading...