Stefano Fusi
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Stefano Fusi is an Italian-American neuroscientist and theoretical/computational neurobiologist. He is a Professor of Neuroscience at Columbia University and an investigator in the Zuckerman Mind Brain Behavior Institute. His research centers on computational models of neural circuits, mixed selectivity, and the neural basis of cognitive flexibility.
Early Life and Education
- Stefano Fusi was born in Florence, Italy.[1]
- He earned a degree in physics from Sapienza University of Rome in 1992.[2]
- He obtained a PhD in physics from the Hebrew University of Jerusalem in 1999.[3]
- After his PhD, he held postdoctoral positions at the University of Bern and Brandeis University.[3]
- In 2005, he was appointed as an Assistant Professor at ETH Zurich (Swiss Federal Institute of Technology).[1]
Career and Appointments
- In 2009, he joined Columbia University’s Department of Neuroscience as an Associate Professor.[1][2]
- He is affiliated with the Mortimer B. Zuckerman Mind Brain Behavior Institute and the Center for Theoretical Neuroscience at Columbia.[3]
- He directs a research group focused on computational models of cognition, neural representation, rule learning, and memory.[4][3]
- He serves as an associate editor for journals including Journal of Computational Neuroscience, and Neural Computation.[2]
- Since 2024, Fusi has been a co-director of the Methods in Computational Neuroscience course[5] at Marine Biological Laboratory in Woods Hole, MA.
Research Contributions and Interests
Fusi’s work lies at the interface of theory and experiment. Some of his major contributions and research themes include:
- Mixed Selectivity & High-Dimensional Representations: He has advanced the idea that neurons exhibiting “mixed selectivity” (i.e., responding to combinations of task variables rather than a single variable) enable rich, flexible cognitive computation.[6][7]
- Representational Geometry and Abstraction: He examines how neural population activity forms structured manifolds and how cognitive abstractions may be encoded in orthogonal subspaces.[8]
- Synaptic Complexity and Memory: His theoretical work includes models that explore how synaptic processes across multiple timescales can support memory consolidation and cognitive flexibility.[9][10]
- Applications to Neuromorphic Systems: Fusi is interested in how principles gleaned from neural circuits can inform low-power, brain-inspired computing systems.[11][12]
Honors, Metrics & Recognition
- E. Persico prize (Accademia dei Lincei), Rome, Italy
References
- ↑ 1.0 1.1 1.2 "Stefano Fusi". Simons Foundation. 2017-07-13. Retrieved 2025-10-14.
- ↑ 2.0 2.1 2.2 "Stefano Fusi". The Data Science Institute at Columbia University. Retrieved 2025-10-14.
- ↑ 3.0 3.1 3.2 3.3 "Stefano Fusi". zuckermaninstitute.columbia.edu. 2017-03-06. Retrieved 2025-10-14.
- ↑ "Stefano Fusi, PhD". Vagelos College of Physicians and Surgeons. 2017-06-12. Retrieved 2025-10-14.
- ↑ "Methods in Computational Neuroscience | Marine Biological Laboratory". www.mbl.edu. Retrieved 2025-10-14.
- ↑ Rigotti, Mattia; Barak, Omri; Warden, Melissa R.; Wang, Xiao-Jing; Daw, Nathaniel D.; Miller, Earl K.; Fusi, Stefano (2013). "The importance of mixed selectivity in complex cognitive tasks". Nature. 497 (7451): 585–590. doi:10.1038/nature12160. ISSN 1476-4687.
- ↑ Fusi, Stefano; Miller, Earl K; Rigotti, Mattia (2016-04-01). "Why neurons mix: high dimensionality for higher cognition". Current Opinion in Neurobiology. Neurobiology of cognitive behavior. 37: 66–74. doi:10.1016/j.conb.2016.01.010. ISSN 0959-4388.
- ↑ Bernardi, Silvia; Benna, Marcus K.; Rigotti, Mattia; Munuera, Jérôme; Fusi, Stefano; Salzman, C. Daniel (2020-11-12). "The Geometry of Abstraction in the Hippocampus and Prefrontal Cortex". Cell. 183 (4): 954–967.e21. doi:10.1016/j.cell.2020.09.031. ISSN 0092-8674. PMID 33058757 Check
|pmid=value (help). - ↑ Fusi, Stefano; Drew, Patrick J.; Abbott, L. F. (2005-02-17). "Cascade Models of Synaptically Stored Memories". Neuron. 45 (4): 599–611. doi:10.1016/j.neuron.2005.02.001. ISSN 0896-6273. PMID 15721245.
- ↑ Benna, Marcus K.; Fusi, Stefano (2016-12). "Computational principles of synaptic memory consolidation". Nature Neuroscience. 19 (12): 1697–1706. doi:10.1038/nn.4401. ISSN 1546-1726. Check date values in:
|date=(help) - ↑ "Learning in neural networks with material synapses". scholar.google.com. Retrieved 2025-10-14.
- ↑ "Spike-driven synaptic plasticity: theory, simulation, VLSI implementation". scholar.google.com. Retrieved 2025-10-14.
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