Mattia Rigotti

5.3k total citations · 3 hit papers
24 papers, 2.8k citations indexed

About

Mattia Rigotti is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Mattia Rigotti has authored 24 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 14 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Mattia Rigotti's work include Neural dynamics and brain function (11 papers), Advanced Memory and Neural Computing (7 papers) and Neural Networks and Applications (6 papers). Mattia Rigotti is often cited by papers focused on Neural dynamics and brain function (11 papers), Advanced Memory and Neural Computing (7 papers) and Neural Networks and Applications (6 papers). Mattia Rigotti collaborates with scholars based in United States, Switzerland and Netherlands. Mattia Rigotti's co-authors include Stefano Fusi, Earl K. Miller, Omri Barak, Melissa R. Warden, Xiao‐Jing Wang, Nathaniel D. Daw, C. Daniel Salzman, Susanne E. Ahmari, Timothy Spellman and Joseph A. Gogos and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Mattia Rigotti

23 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The importance of mixed selectivity in complex cognitive tasks

2013 972 citations Mattia Rigotti, Omri Barak et al. Nature profile →
Hippocampal–prefrontal input supports spatial encoding in working memory

2015 474 citations Timothy Spellman, Mattia Rigotti et al. Nature profile →
Why neurons mix: high dimensionality for higher cognition

2016 415 citations Stefano Fusi, Earl K. Miller et al. Current Opinion in Neurobiology profile →

Peers

Countries citing papers authored by Mattia Rigotti

Since Specialization

Citations

This map shows the geographic impact of Mattia Rigotti's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mattia Rigotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mattia Rigotti more than expected).

Fields of papers citing papers by Mattia Rigotti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mattia Rigotti. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mattia Rigotti. The network helps show where Mattia Rigotti may publish in the future.

Co-authorship network of co-authors of Mattia Rigotti

This figure shows the co-authorship network connecting the top 25 collaborators of Mattia Rigotti. A scholar is included among the top collaborators of Mattia Rigotti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mattia Rigotti. Mattia Rigotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Mixed selectivity: Cellular computations for complexity 2024 ·Neuron ·Kay M. Tye, Earl K. Miller, (unknown), Marcus K. Benna, Mattia Rigotti, Stefano Fusi	23
2	Auditing and Generating Synthetic Data with Controllable Trust Trade-offs 2024 ·IEEE Journal on Emerging and Selected Topics in Circuits and Systems ·Brian Belgodere, (unknown), (unknown), Igor Melnyk, Youssef Mroueh, (unknown), Jiří Navrátil, (unknown), Inkit Padhi, Mattia Rigotti, Jerret Ross, (unknown), (unknown), Richard A. Young	4
3	Importance of Digitalization and Standardization for Bridge and Tunnel Monitoring and Predictive Maintenance 2023 ·ce/papers ·(unknown), (unknown), Diego Lorenzo Allaix, Ana Sánchez‐Rodríguez, Mattia Rigotti	4
4	Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge 2022 ·Journal of Artificial Intelligence Research ·(unknown), Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, (unknown), (unknown), Richard A. Young, Brian Belgodere	25
5	Compositional Generalization Through Abstract Representations in Human and Artificial Neural Networks 2022 ·(unknown), Takuya Ito, Tim Klinger, (unknown), Mattia Rigotti, (unknown)	0
6	The implications of categorical and category-free mixed selectivity on representational geometries 2022 ·Current Opinion in Neurobiology ·Matthew T. Kaufman, Marcus K. Benna, Mattia Rigotti, Fabio Stefanini, Stefano Fusi, Anne K. Churchland	17
7	Predictive learning as a network mechanism for extracting low-dimensional latent space representations 2021 ·Nature Communications ·Stefano Recanatesi, (unknown), Guillaume Lajoie, Sophie Denève, Mattia Rigotti, Eric Shea‐Brown	40
8	Self-correcting Q-learning 2021 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Rong Zhu, Mattia Rigotti	6
9	The Geometry of Abstraction in the Hippocampus and Prefrontal Cortex 2020 ·Cell ·Silvia Bernardi, Marcus K. Benna, Mattia Rigotti, Jérôme Munuera, Stefano Fusi, C. Daniel Salzman	207
10	RAPA-ConvNets: Modified Convolutional Networks for Accelerated Training on Architectures With Analog Arrays 2019 ·Frontiers in Neuroscience ·Malte J. Rasch, Tayfun Gokmen, Mattia Rigotti, Wilfried Haensch	7
11	Shared neural coding for social hierarchy and reward value in primate amygdala 2018 ·Nature Neuroscience ·Jérôme Munuera, Mattia Rigotti, C. Daniel Salzman	76
12	Hebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal Cortex 2017 ·Journal of Neuroscience ·Grace W. Lindsay, Mattia Rigotti, Melissa R. Warden, Earl K. Miller, Stefano Fusi	30
13	Why neurons mix: high dimensionality for higher cognition breakdown → 2016 ·Current Opinion in Neurobiology ·Stefano Fusi, Earl K. Miller, Mattia Rigotti	415
14	Abstract Context Representations in Primate Amygdala and Prefrontal Cortex 2015 ·Neuron ·Alex Saez, Mattia Rigotti, Srdjan Ostojic, Stefano Fusi, C. Daniel Salzman	115
15	Hippocampal–prefrontal input supports spatial encoding in working memory breakdown → 2015 ·Nature ·Timothy Spellman, Mattia Rigotti, Susanne E. Ahmari, Stefano Fusi, Joseph A. Gogos, Joshua A. Gordon	474
16	The Sparseness of Mixed Selectivity Neurons Controls the Generalization–Discrimination Trade-Off 2013 ·Journal of Neuroscience ·Omri Barak, Mattia Rigotti, Stefano Fusi	128
17	The importance of mixed selectivity in complex cognitive tasks breakdown → 2013 ·Nature ·Mattia Rigotti, Omri Barak, Melissa R. Warden, Xiao‐Jing Wang, Nathaniel D. Daw, Earl K. Miller, Stefano Fusi	972
18	A Simple Derivation of a Bound on the Perceptron Margin Using Singular Value Decomposition 2011 ·Neural Computation ·Omri Barak, Mattia Rigotti	10
19	Attractor concretion as a mechanism for the formation of context representations 2010 ·NeuroImage ·Mattia Rigotti, Daniel Ben Dayan Rubin, Sara E. Morrison, C. Daniel Salzman, Stefano Fusi	34
20	Internal representation of task rules by recurrent dynamics: the importance of the diversity of neural responses 2010 ·Frontiers in Computational Neuroscience ·Mattia Rigotti	138

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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