Mattia Rigotti
Affiliations: | Neuroscience | Columbia University, New York, NY |
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"Mattia Rigotti"Mean distance: 15.55 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| Stefano Fusi | grad student | 2005-2010 | Columbia | |
| (Modeling the neural mechanisms underlying rule-based behavior.) | ||||
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Publications
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| Tye KM, Miller EK, Taschbach FH, et al. (2024) Mixed selectivity: Cellular computations for complexity. Neuron |
| Kaufman MT, Benna MK, Rigotti M, et al. (2022) The implications of categorical and category-free mixed selectivity on representational geometries. Current Opinion in Neurobiology. 77: 102644 |
| Bernardi S, Benna MK, Rigotti M, et al. (2020) The Geometry of Abstraction in the Hippocampus and Prefrontal Cortex. Cell |
| Munuera J, Rigotti M, Salzman CD. (2018) Shared neural coding for social hierarchy and reward value in primate amygdala. Nature Neuroscience |
| Lindsay GW, Rigotti M, Warden MR, et al. (2017) Hebbian Learning in a Random Network Captures Selectivity Properties of Prefrontal Cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
| Bernardi S, Munuera J, Rigotti M, et al. (2017) 672. Neural Mechanisms Underlying the Cognitive Regulation of Value Attribution: Abstraction of Contextual Information in the Monkey Hippocampus Biological Psychiatry. 81: S272 |
| Martí D, Rigotti M, Soek M, et al. (2016) Energy-Efficient Neuromorphic Classifiers. Neural Computation. 1-34 |
| Fusi S, Miller EK, Rigotti M. (2016) Why neurons mix: high dimensionality for higher cognition. Current Opinion in Neurobiology. 37: 66-74 |
| Saez A, Rigotti M, Ostojic S, et al. (2015) Abstract Context Representations in Primate Amygdala and Prefrontal Cortex. Neuron. 87: 869-81 |
| Spellman T, Rigotti M, Ahmari SE, et al. (2015) Hippocampal-prefrontal input supports spatial encoding in working memory. Nature. 522: 309-14 |