World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
53
Citations
13750
World Ranking
5036
National Ranking
2258

Computer Science

D-Index
45
Citations
11190
World Ranking
7078
National Ranking
3107

Overview

Stefano Fusi is affiliated with Columbia University in the United States. Their primary research focus lies within the field of neuroscience, encompassing a total of 116 publications. Their work spans various subfields, including cognitive neuroscience, cellular and molecular neuroscience, artificial intelligence, electrical and electronic engineering, and social psychology.

The research topics addressed by Fusi include neural dynamics and brain function, memory and neural mechanisms, neuroscience and neuropharmacology research, neural networks and applications, advanced memory and neural computing, visual perception and processing mechanisms, and functional brain connectivity studies.

Fusi has contributed to multiple scientific journals and publication venues, with frequent appearances in bioRxiv (Cold Spring Harbor Laboratory), Neuron, Nature Communications, arXiv (Cornell University), and Nature Neuroscience. The distribution of their publications in these venues reflects a consistent engagement with both preprint and peer-reviewed scientific communities.

Their recent papers include:

  • The Geometry of Abstraction in the Hippocampus and Prefrontal Cortex, 2020, Cell
  • Biological underpinnings for lifelong learning machines, 2022, Nature Machine Intelligence
  • A Distributed Neural Code in the Dentate Gyrus and in CA1, 2020, Neuron
  • Low-dimensional dynamics for working memory and time encoding, 2020, Proceedings of the National Academy of Sciences
  • Flexible recruitment of memory-based choice representations by the human medial frontal cortex, 2020, Science

Fusi frequently collaborates with other researchers. Among their most common co-authors are Ramon Nogueira, Lorenzo Posani, Marcus K. Benna, Fabio Stefanini, and W. Jeffrey Johnston.

Best Publications

  • The importance of mixed selectivity in complex cognitive tasks

    Mattia Rigotti;Omri Barak;Omri Barak;Melissa R. Warden;Melissa R. Warden;Xiao Jing Wang;Xiao Jing Wang

  • Why neurons mix: high dimensionality for higher cognition

    Stefano Fusi;Earl K Miller;Mattia Rigotti

  • Emotion, Cognition, and Mental State Representation in Amygdala and Prefrontal Cortex

    C. Daniel Salzman;Stefano Fusi

  • Hippocampal–prefrontal input supports spatial encoding in working memory

    Timothy Spellman;Mattia Rigotti;Susanne E. Ahmari;Stefano Fusi

  • Cascade models of synaptically stored memories.

    Stefano Fusi;Patrick J. Drew;L.F. Abbott

  • The Geometry of Abstraction in the Hippocampus and Prefrontal Cortex

    Silvia Bernardi;Marcus K. Benna;Mattia Rigotti;Jérôme Munuera

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

    Joseph M. Brader;Walter Senn;Stefano Fusi

  • Learning in neural networks with material synapses

    Daniel J. Amit;Stefano Fusi

  • Neocortical Pyramidal Cells Respond as Integrate-and-Fire Neurons to In Vivo–Like Input Currents

    Alexander Rauch;Giancarlo La Camera;Hans-Rudolf Lüscher;Walter Senn

  • Biological underpinnings for lifelong learning machines

    Unknown

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

    Stefano Fusi;Mario Annunziato;Davide Badoni;Andrea Salamon

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

    S. Mitra;S. Fusi;G. Indiveri

  • Limits on the memory storage capacity of bounded synapses.

    Stefano Fusi;L F Abbott

  • A Neural Circuit Model of Flexible Sensorimotor Mapping: Learning and Forgetting on Multiple Timescales

    Stefano Fusi;Wael F. Asaad;Wael F. Asaad;Wael F. Asaad;Earl K. Miller;Earl K. Miller;Xiao Jing Wang

  • A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory

    E. Chicca;D. Badoni;V. Dante;M. D'Andreagiovanni

  • Computational principles of synaptic memory consolidation

    Marcus K Benna;Stefano Fusi

  • The sparseness of mixed selectivity neurons controls the generalization-discrimination trade-off.

    Omri Barak;Mattia Rigotti;Mattia Rigotti;Stefano Fusi

  • Collective behavior of networks with linear (VLSI) integrate-and-fire neurons

    Stefano Fusi;Maurizio Mattia

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

    Mattia Rigotti;Mattia Rigotti;Daniel D Ben Dayan Rubin;Daniel D Ben Dayan Rubin;Xiao-Jing Wang;Stefano Fusi;Stefano Fusi

  • Abstract Context Representations in Primate Amygdala and Prefrontal Cortex

    A. Saez;M. Rigotti;M. Rigotti;S. Ostojic;S. Fusi

  • Climbing Neuronal Activity as an Event-Based Cortical Representation of Time

    Jan Reutimann;Volodya Yakovlev;Stefano Fusi;Walter Senn

Frequent Co-Authors

Walter Senn
Walter Senn University of Bern
Xiao-Jing Wang
Xiao-Jing Wang New York University
Michele Giugliano
Michele Giugliano University of Modena and Reggio Emilia
Giacomo Indiveri
Giacomo Indiveri University of Zurich
Michael N. Shadlen
Michael N. Shadlen Columbia University
Ehud Zohary
Ehud Zohary Hebrew University of Jerusalem
René Hen
René Hen Columbia University
Hans-Rudolf Lüscher
Hans-Rudolf Lüscher University of Bern
Nathaniel D. Daw
Nathaniel D. Daw Princeton University

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