Cristiano Capone

602 total citations
22 papers, 285 citations indexed

About

Cristiano Capone is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Cristiano Capone has authored 22 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 10 papers in Electrical and Electronic Engineering and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Cristiano Capone's work include Neural dynamics and brain function (17 papers), Advanced Memory and Neural Computing (10 papers) and stochastic dynamics and bifurcation (5 papers). Cristiano Capone is often cited by papers focused on Neural dynamics and brain function (17 papers), Advanced Memory and Neural Computing (10 papers) and stochastic dynamics and bifurcation (5 papers). Cristiano Capone collaborates with scholars based in Italy, France and Spain. Cristiano Capone's co-authors include Matteo di Volo, Alain Destexhe, Maurizio Mattia, Alberto Romagnoni, María V. Sánchez-Vives, Paolo Del Giudice, Pier Stanislao Paolucci, Xavi Illa, Alberto Muñoz and Núria Tort‐Colet and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Cristiano Capone

21 papers receiving 284 citations

Peers

Countries citing papers authored by Cristiano Capone

Since Specialization

Citations

This map shows the geographic impact of Cristiano Capone'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 Cristiano Capone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristiano Capone more than expected).

Fields of papers citing papers by Cristiano Capone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cristiano Capone. 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 Cristiano Capone. The network helps show where Cristiano Capone may publish in the future.

Co-authorship network of co-authors of Cristiano Capone

This figure shows the co-authorship network connecting the top 25 collaborators of Cristiano Capone. A scholar is included among the top collaborators of Cristiano Capone 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 Cristiano Capone. Cristiano Capone 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	A modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets 2024 ·Cell Reports Methods ·(unknown), G. De Bonis, (unknown), (unknown), Cristiano Capone, Anna Letizia Allegra Mascaro, Francesco Resta, (unknown), Francesco S. Pavone, María V. Sánchez-Vives, Maurizio Mattia, Sonja Grün, Pier Stanislao Paolucci, Michael Denker	3
2	Towards biologically plausible model-based reinforcement learning in recurrent spiking networks by dreaming new experiences 2024 ·Scientific Reports ·Cristiano Capone, Pier Stanislao Paolucci	2
3	Learning fast while changing slow in spiking neural networks 2024 ·SHILAP Revista de lepidopterología ·Cristiano Capone, (unknown)	0
4	Simulations approaching data: cortical slow waves in inferred models of the whole hemisphere of mouse 2023 ·Communications Biology ·Cristiano Capone, (unknown), G. De Bonis, (unknown), (unknown), (unknown), Francesco Simula, (unknown), (unknown), Francesco Resta, Anna Letizia Allegra Mascaro, Francesco S. Pavone, Michael Denker, Pier Stanislao Paolucci	4
5	Error-based or target-based? A unified framework for learning in recurrent spiking networks 2022 ·PLoS Computational Biology ·Cristiano Capone, (unknown), Pier Stanislao Paolucci	6
6	Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep 2021 ·PLoS Computational Biology ·Bruno Golosio, (unknown), Cristiano Capone, (unknown), (unknown), (unknown), G. De Bonis, Pier Stanislao Paolucci	11
7	Target spike patterns enable efficient and biologically plausible learning for complex temporal tasks 2021 ·PLoS ONE ·(unknown), Cristiano Capone, Pier Stanislao Paolucci	8
8	Attractor competition enriches cortical dynamics during awakening from anesthesia 2021 ·Cell Reports ·Núria Tort‐Colet, Cristiano Capone, María V. Sánchez-Vives, Maurizio Mattia	20
9	Biologically Realistic Mean-Field Models of Conductance-Based Networks of Spiking Neurons with Adaptation 2019 ·Neural Computation ·Matteo di Volo, Alberto Romagnoni, Cristiano Capone, Alain Destexhe	55
10	Cholinergic Switch between Two Types of Slow Waves in Cerebral Cortex 2019 ·Cerebral Cortex ·(unknown), Núria Tort‐Colet, (unknown), Ulisse Ferrari, (unknown), Jennifer S. Goldman, Bartosz Teleńczuk, Cristiano Capone, Thierry Bal, Matteo di Volo, Alain Destexhe	26
11	A mean-field approach to the dynamics of networks of complex neurons, from nonlinear Integrate-and-Fire to Hodgkin–Huxley models 2019 ·Journal of Neurophysiology ·(unknown), (unknown), Leonardo Dalla Porta, Damien Depannemaecker, (unknown), Maciej Jedynak, (unknown), (unknown), (unknown), Cristiano Capone, Yann Zerlaut, Alain Destexhe, Matteo di Volo	32
12	State-dependent mean-field formalism to model different activity states in conductance-based networks of spiking neurons 2019 ·Physical review. E ·Cristiano Capone, Matteo di Volo, Alberto Romagnoni, Maurizio Mattia, Alain Destexhe	11
13	NaNet: a Reconfigurable PCIe Network Interface Card Architecture for Real-time Distributed Heterogeneous Stream Processing in the NA62 Low Level Trigger. 2019 ·CINECA IRIS Institutial research information system (University of Pisa) ·(unknown), A. Biagioni, Ottorino Frezza, Francesca Lo Cicero, A. Lonardo, Michele Martinelli, Pier Stanislao Paolucci, L. Pontisso, Francesco Simula, P. Vicini, Cristiano Capone, Fabrizio Capuani, G. De Bonis, (unknown), Roberto Ammendola, G. Lamanna, M. Sozzi, R. Piandani, D. Soldi	2
14	Spontaneous activity emerging from an inferred network model captures complex spatio-temporal dynamics of spike data 2018 ·Scientific Reports ·Cristiano Capone, Guido Gigante, Paolo Del Giudice	10
15	Speed hysteresis and noise shaping of traveling fronts in neural fields: role of local circuitry and nonlocal connectivity 2017 ·Scientific Reports ·Cristiano Capone, Maurizio Mattia	9
16	Slow Waves in Cortical Slices: How Spontaneous Activity is Shaped by Laminar Structure 2017 ·Cerebral Cortex ·Cristiano Capone, (unknown), Alberto Muñoz, Xavi Illa, Paolo Del Giudice, María V. Sánchez-Vives, Maurizio Mattia	51
17	Inferring Synaptic Structure in Presence of Neural Interaction Time Scales 2015 ·PLoS ONE ·Cristiano Capone, (unknown), Guido Gigante, Federico Ricci‐Tersenghi, Paolo Del Giudice	11
18	Spontaneous motor activity and sleep-wake cycles in low-risk preterm infants. 1990 ·PubMed ·(unknown), Cristiano Capone, Giuseppe Cossu, (unknown), Emanuela Sani, (unknown), Myla E. Moretti	2
19	EEG mapping in a child with Rett syndrome 1989 ·Psychiatry Research ·(unknown), Cristiano Capone, Emanuela Sani, (unknown), (unknown)	3
20	The emergence of the sleep-wake cycle in infancy. 1986 ·PubMed ·(unknown), Cristiano Capone, (unknown), Emanuela Sani	5

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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