Stefano Fusi

Paolo Del Giudice, Daniel J. Amit, Stefano Fusi, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

The Sparseness of Mixed Selectivity Neurons Controls the Generalization–Discrimination Trade-Off

Stefano Fusi, Mattia Rigotti, Omri Barak, 2013, The Journal of Neuroscience.

The response of cortical neurons to in vivo-like input current: theory and experiment

Michele Giugliano, Walter Senn, Stefano Fusi, 2008, Biological Cybernetics.

Face familiarity detection with complex synapses

Stefano Fusi, Fabio Stefanini, Li Ji-An, 2019, bioRxiv.

Attractor concretion as a mechanism for the formation of context representations

Stefano Fusi, Daniel Ben Dayan Rubin, Mattia Rigotti, 2010, NeuroImage.

Classifiers with limited connectivity

Stefano Fusi, Lyudmila Kushnir, 2017 .

When NMDA Receptor Conductances Increase Inter-spike Interval Variability

Walter Senn, Hans-Rudolf Lüscher, Stefano Fusi, 2002, ICANN.

Learning to Attend: Modeling the Shaping of Selectivity in Infero-temporal Cortex in a Categorization Task

Gustavo Deco, Paolo Del Giudice, Maurizio Mattia, 2006, Biological Cybernetics.

Dynamical Regimes in Neural Network Models of Matching Behavior

Stefano Fusi, Kiyohito Iigaya, Stefano Fusi, 2013, Neural Computation.

Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynamics

Walter Senn, Stefano Fusi, Joseph M. Brader, 2007, Neural Computation.

Real-Time Classification of Complex Patterns Using Spike-Based Learning in Neuromorphic VLSI

Giacomo Indiveri, Srinjoy Mitra, Stefano Fusi, 2009, IEEE Transactions on Biomedical Circuits and Systems.

A distributed neural code in ensembles of dentate gyrus granule cells

Stefano Fusi, Garret D. Stuber, Lyudmila Kushnir, 2018, bioRxiv.

The geometry of abstraction in hippocampus and pre-frontal cortex

Stefano Fusi, Silvia Bernardi, Mattia Rigotti, 2018, bioRxiv.

Efficient online learning with low-precision synaptic variables

Stefano Fusi, Marcus K. Benna, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

Learning fast and slow: deviations from the matching law can reflect an optimal strategy under uncertainty

William T. Newsome, Yonatan Loewenstein, Stefano Fusi, 2017, bioRxiv.

Long Memory Lifetimes Require Complex Synapses and Limited Sparseness

Stefano Fusi, Daniel Ben Dayan Rubin, Stefano Fusi, 2007, Frontiers Comput. Neurosci..

Flexible recruitment of memory-based choice representations by the human medial frontal cortex

Ueli Rutishauser, Stefano Fusi, Adam N Mamelak, 2020, Science.

Low-dimensional dynamics for working memory and time encoding

Stefano Fusi, Aldo Genovesio, Christopher J. Cueva, 2020, Proceedings of the National Academy of Sciences.

Learning in Neural Networks with Material Synapses

Daniel J. Amit, Stefano Fusi, D. Amit, 1994, Neural Computation.

Minimal Models of Adapted Neuronal Response to In VivoLike Input Currents

Walter Senn, Hans-Rudolf Lüscher, Stefano Fusi, 2004, Neural Computation.

Electronic implementation of an analogue attractor neural network with stochastic learning

Davide Badoni, Daniel J. Amit, Stefano Fusi, 1995 .

Flexible coding of memory and space in the primate hippocampus during virtual navigation

Stefano Fusi, Roberto A. Gulli, Guillaume Doucet, 2018, bioRxiv.

A Quiescent Working Memory

Stefano Fusi, Stefano Fusi, 2008, Science.

Spike-Driven Synaptic Plasticity: Theory, Simulation, VLSI Implementation

Davide Badoni, Daniel J. Amit, Stefano Fusi, 2000, Neural Computation.

Computational principles of biological memory

Stefano Fusi, Marcus K. Benna, Stefano Fusi, 2015, 1507.07580.

Flexible recruitment of memory-based choice representations by human medial-frontal cortex

Ueli Rutishauser, Stefano Fusi, Adam N. Mamelak, 2019, bioRxiv.

Context-dependent representations of objects and space in the primate hippocampus during virtual navigation

Stefano Fusi, Julio C. Martinez-Trujillo, Roberto A. Gulli, 2019, Nature Neuroscience.

Memory capacity of a random, recurrently connected network of neurons with multiple, biologically realistic facilitation and adaptation profiles

Stefano Fusi, Brian D DePasquale, Stefano Fusi, 2011, BMC Neuroscience.

Learning Constraints in Storage Capacity in Networks with Dynamic Synapses

Daniel J. Amit, Stefano Fusi, 1992, Int. J. Neural Syst..

Learning flexible sensori-motor mappings in a complex network

Xiao-Jing Wang, Walter Senn, Stefano Fusi, 2009, Biological Cybernetics.

The sensorimotor strategies and neuronal representations of tactile shape discrimination in mice

Randy M Bruno, Stefano Fusi, Ramon Nogueira, 2020, bioRxiv.

Complex synapses as efficient memory systems

Stefano Fusi, Marcus K Benna, 2015, BMC Neuroscience.

Measuring prefrontal representational geometry: fMRI adaptation vs pattern analysis

Stefano Fusi, Mattia Rigotti, David Badre, 2019 .

Power-law autocorrelation of neural activity in models of mental states that are hierarchically organized

Stefano Fusi, Fabian Chersi, Mattia Rigotti, 2009, BMC Neuroscience.

Learning to classify complex patterns using a VLSI network of spiking neurons

Giacomo Indiveri, Srinjoy Mitra, Stefano Fusi, 2007, NIPS.

A VLSIspike-driven dynamic synapse whichlearns onlywhennecessary

Srinjoy Mitra, Stefano Fusi, 2006 .

Computational principles of synaptic memory consolidation

Stefano Fusi, Marcus K Benna, Stefano Fusi, 2016, Nature Neuroscience.

Attractor Dynamics in an Electronic Neural Network

Paolo Del Giudice, Stefano Fusi, 1997, ICANN.

Slow stochastic learning with global inhibition: a biological solution to the binary perceptron problem

Walter Senn, Stefano Fusi, 2004, Neurocomputing.

Neural Classifiers with Limited Connectivity and Recurrent Readouts

Stefano Fusi, Lyudmila Kushnir, 2018, The Journal of Neuroscience.

Long term memory: Encoding and storing strategies of the brain

Stefano Fusi, 2001, Neurocomputing.

Hebbian spike-driven synaptic plasticity for learning patterns of mean firing rates

Stefano Fusi, Stefano Fusi, 2002, Biological Cybernetics.

Storing sparse random patterns with cascade synapses

Stefano Fusi, Daniel D. Ben, Dayan Rubin, 2006 .

Synaptic encoding of temporal contiguity

Stefano Fusi, Srdjan Ostojic, Stefano Fusi, 2013, Front. Comput. Neurosci..

Are place cells just memory cells? Memory compression leads to spatial tuning and history dependence

Stefano Fusi, Marcus K. Benna, Stefano Fusi, 2019 .

A VLSI spike-driven dynamic synapse which learns only when necessary

Giacomo Indiveri, Srinjoy Mitra, Stefano Fusi, 2006, 2006 IEEE International Symposium on Circuits and Systems.

Non-monotonic Current-to-Rate Response Function in a Novel Integrate-and-Fire Model Neuron

Michele Giugliano, Hans-Rudolf Lüscher, Stefano Fusi, 2002, ICANN.

Internal Representation of Task Rules by Recurrent Dynamics: The Importance of the Diversity of Neural Responses

Xiao-Jing Wang, Stefano Fusi, Daniel Ben Dayan Rubin, 2010, Front. Comput. Neurosci..

The dynamical response properties of neocortical neurons to temporally modulated noisy inputs in vitro.

Stefano Fusi, Michele Giugliano, Xiao-Jing Wang, 2008, Cerebral cortex.

A Distributed Neural Code in the Dentate Gyrus and in CA1

Stefano Fusi, Garret D. Stuber, Lyudmila Kushnir, 2020, Neuron.

Why neurons mix: high dimensionality for higher cognition

Stefano Fusi, Mattia Rigotti, Earl K Miller, 2016, Current Opinion in Neurobiology.

Hippocampal Network Reorganization Underlies the Formation of a Temporal Association Memory

Attila Losonczy, Stefano Fusi, Luca Mazzucato, 2020, Neuron.

Queuing theory for spike driven synaptic dynamics

Stefano Fusi, Mario Annunziato, 1998 .

Hippocampal Network Reorganization Underlies the Formation of a Temporal Association Memory

Attila Losonczy, Stefano Fusi, Luca Mazzucato, 2019, Neuron.

Limber Neurons for a Nimble Mind

Earl K. Miller, Stefano Fusi, 2013, Neuron.

Hebbian Learning in a Random Network Captures Selectivity Properties of Prefrontal Cortex

Earl K. Miller, Stefano Fusi, Mattia Rigotti, 2017, bioRxiv.

Equivalent networks of conductance- and current-driven neurons ?

Walter Senn, Stefano Fusi, Giancarlo La Camera, 2003 .