Learning Constraints in Storage Capacity in Networks with Dynamic Synapses. - Stefano Fusi; Daniel J. Amit (Int. J. Neural Syst., 1992)

Learning in Neural Networks with Material Synapses. - Daniel J. Amit; Stefano Fusi (Neural Comput., 1994)

Attractor Dynamics in an Electronic Neural Network. - Paolo Del Giudice; Stefano Fusi (ICANN, 1997)

Modeling Networks with Linear (VLSI) Integrate-and-Fire Neurons. - Maurizio Mattia; Stefano Fusi (ICANN, 1997)

Paradigmatic Working Memory (Attractor) Cell in IT Cortex. - Daniel J. Amit; Stefano Fusi; Volodya Yakovlev (Neural Comput., 1997)

Collective Behavior of Networks with Linear (VLSI) Integrate-and-Fire Neurons. - Stefano Fusi; Maurizio Mattia (Neural Comput., 1999)

Neurophysiology of a VLSI Spiking Neural Network: LANN21. - Stefano Fusi; Paolo Del Giudice; Daniel J. Amit (IJCNN (3), 2000)

Spike-Driven Synaptic Plasticity: Theory, Simulation, VLSI Implementation. - Stefano Fusi; Mario Annunziato; Davide Badoni; Andrea Salamon; Daniel J. Amit (Neural Comput., 2000)

Long term memory: Encoding and storing strategies of the brain. - Stefano Fusi (Neurocomputing, 2001)

A model of expectation effects in inferior temporal cortex. - Jan Reutimann; Stefano Fusi; Walter Senn; Volodya Yakovlev; Ehud Zohary (Neurocomputing, 2001)

When NMDA Receptor Conductances Increase Inter-spike Interval Variability. - Giancarlo La Camera; Stefano Fusi; Walter Senn; Alexander Rauch; Hans-Rudolf Lüscher (ICANN, 2002)

Firing Rate Adaptation without Losing Sensitivity to Input Fluctuations. - Giancarlo La Camera; Alexander Rauch; Walter Senn; Hans-Rudolf Lüscher; Stefano Fusi (ICANN, 2002)

Spike-Driven Synaptic Plasticity for Learning Correlated Patterns of Asynchronous Activity. - Stefano Fusi (ICANN, 2002)

Non-monotonic Current-to-Rate Response Function in a Novel Integrate-and-Fire Model Neuron. - Michele Giugliano; Giancarlo La Camera; Alexander Rauch; Hans-Rudolf Lüscher; Stefano Fusi (ICANN, 2002)

Encoding the Temporal Statistics of Markovian Sequences of Stimuli in Recurrent Neuronal Networks. - Alessandro Usseglio Viretta; Stefano Fusi; Shih-Chii Liu (ICANN, 2002)

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

Event-Driven Simulation of Spiking Neurons with Stochastic Dynamics. - Jan Reutimann; Michele Giugliano; Stefano Fusi (Neural Comput., 2003)

A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory. - Elisabetta Chicca; Davide Badoni; Vittorio Dante; Massimo D'Andreagiovanni; Gaetano Salina; Luciana Carota; Stefano Fusi; Paolo Del Giudice (IEEE Trans. Neural Networks, 2003)

Comparison between networks of conductance- and current-driven neurons: stationary spike rates and subthreshold depolarization. - Giancarlo La Camera; Walter Senn; Stefano Fusi (Neurocomputing, 2004)

Slow stochastic learning with global inhibition: a biological solution to the binary perceptron problem. - Walter Senn; Stefano Fusi (Neurocomputing, 2004)

Minimal Models of Adapted Neuronal Response to In Vivo-Like Input Currents. - Giancarlo La Camera; Alexander Rauch; Hans-Rudolf Lüscher; Walter Senn; Stefano Fusi (Neural Comput., 2004)

Learning Only When Necessary: Better Memories of Correlated Patterns in Networks with Bounded Synapses. - Walter Senn; Stefano Fusi (Neural Comput., 2005)

A VLSI spike-driven dynamic synapse which learns only when necessary. - Srinjoy Mitra; Stefano Fusi; Giacomo Indiveri (ISCAS, 2006)

Learning to Attend: Modeling the Shaping of Selectivity in Infero-temporal Cortex in a Categorization Task. - Miruna Szabo; Martin Stetter; Gustavo Deco; Stefano Fusi; Paolo Del Giudice; Maurizio Mattia (Biol. Cybern., 2006)

Spike-based learning in VLSI networks of integrate-and-fire neurons. - Giacomo Indiveri; Stefano Fusi (ISCAS, 2007)

Learning to classify complex patterns using a VLSI network of spiking neurons. - Srinjoy Mitra; Giacomo Indiveri; Stefano Fusi (NIPS, 2007)

Long memory lifetimes require complex synapses and limited sparseness. - Daniel Ben Dayan Rubin; Stefano Fusi (Frontiers Comput. Neurosci., 2007)

Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynamics. - Joseph M. Brader; Walter Senn; Stefano Fusi (Neural Comput., 2007)

The response of cortical neurons to in vivo-like input current: theory and experiment. - Giancarlo La Camera; Michele Giugliano; Walter Senn; Stefano Fusi (Biol. Cybern., 2008)

The response of cortical neurons to in vivo-like input current: theory and experiment: II. Time-varying and spatially distributed inputs. - Michele Giugliano; Giancarlo La Camera; Stefano Fusi; Walter Senn (Biol. Cybern., 2008)

Learning flexible sensori-motor mappings in a complex network. - Eleni Vasilaki; Stefano Fusi; Xiao-Jing Wang; Walter Senn (Biol. Cybern., 2009)

Real-Time Classification of Complex Patterns Using Spike-Based Learning in Neuromorphic VLSI. - Srinjoy Mitra; Stefano Fusi; Giacomo Indiveri (IEEE Trans. Biomed. Circuits Syst., 2009)

Internal Representation of Task Rules by Recurrent Dynamics: The Importance of the Diversity of Neural Responses. - Mattia Rigotti; Daniel Ben Dayan Rubin; Xiao-Jing Wang; Stefano Fusi (Frontiers Comput. Neurosci., 2010)

Attractor concretion as a mechanism for the formation of context representations. - Mattia Rigotti; Daniel Ben Dayan Rubin; Sara E. Morrison; C. Daniel Salzman; Stefano Fusi (NeuroImage, 2010)

Synaptic encoding of temporal contiguity. - Srdjan Ostojic; Stefano Fusi (Frontiers Comput. Neurosci., 2013)

The importance of mixed selectivity in complex cognitive tasks. - Mattia Rigotti; Omri Barak; Melissa R. Warden; Xiao-Jing Wang; Nathaniel D. Daw; Earl K. Miller; Stefano Fusi (Nat., 2013)

Dynamical Regimes in Neural Network Models of Matching Behavior. - Kiyohito Iigaya; Stefano Fusi (Neural Comput., 2013)

Efficient Partitioning of Memory Systems and Its Importance for Memory Consolidation. - Alex Roxin; Stefano Fusi (PLoS Comput. Biol., 2013)

Energy-Efficient Neuromorphic Classifiers. - Daniel Martí; Mattia Rigotti; Mingoo Seok; Stefano Fusi (Neural Comput., 2016)

Efficient online learning with low-precision synaptic variables. - Marcus K. Benna; Stefano Fusi (ACSSC, 2017)

Biological underpinnings for lifelong learning machines. - Dhireesha Kudithipudi; Mario Aguilar-Simon; Jonathan Babb; Maxim Bazhenov; Douglas Blackiston; Josh C. Bongard; Andrew P. Brna; Suraj Chakravarthi Raja; Nick Cheney; Jeff Clune; Anurag Reddy Daram; Stefano Fusi; et al. (Nat. Mach. Intell., 2022)

Task structure and nonlinearity jointly determine learned representational geometry. - Matteo Alleman; Jack W. Lindsey; Stefano Fusi (ICLR, 2024)

Unsupervised Learning of Categorical Structure. - Matteo Alleman; Stefano Fusi (UniReps, 2025)