CTRNN Parameter Learning using Differential Evolution. - Ivanoe De Falco; Antonio Della Cioppa; Francesco Donnarumma; Domenico Maisto; Roberto Prevete; Ernesto Tarantino (ECAI, 2008)

A Model for Programmability and Virtuality in Dynamical Neural Networks. - Francesco Donnarumma (2009)

An Action-tuned Neural Network Architecture for Hand Pose Estimation. - Giovanni Tessitore; Francesco Donnarumma; Roberto Prevete (IJCCI (ICFC-ICNC), 2010)

A Robotic Scenario for Programmable Fixed-Weight Neural Networks Exhibiting Multiple Behaviors. - Guglielmo Montone; Francesco Donnarumma; Roberto Prevete (ICANNGA (1), 2011)

Fast incremental clustering and representation of a 3D point cloud sequence with planar regions. - Francesco Donnarumma; Vincenzo Lippiello; Matteo Saveriano (IROS, 2012)

Programming in the brain: a neural network theoretical framework. - Francesco Donnarumma; Roberto Prevete; Giuseppe Trautteur (Connect. Sci., 2012)

Mental imagery in the navigation domain: a computational model of sensory-motor simulation mechanisms. - Fabian Chersi; Francesco Donnarumma; Giovanni Pezzulo (Adapt. Behav., 2013)

The intentional stance as structure learning: a computational perspective on mindreading. - Haris Dindo; Francesco Donnarumma; Fabian Chersi; Giovanni Pezzulo (Biol. Cybern., 2015)

A Programmer-Interpreter Neural Network Architecture for Prefrontal Cognitive Control. - Francesco Donnarumma; Roberto Prevete; Fabian Chersi; Giovanni Pezzulo (Int. J. Neural Syst., 2015)

Learning programs is better than learning dynamics: A programmable neural network hierarchical architecture in a multi-task scenario. - Francesco Donnarumma; Roberto Prevete; Andrea de Giorgio; Guglielmo Montone; Giovanni Pezzulo (Adapt. Behav., 2016)

Nonparametric Problem-Space Clustering: Learning Efficient Codes for Cognitive Control Tasks. - Domenico Maisto; Francesco Donnarumma; Giovanni Pezzulo (Entropy, 2016)

Problem Solving as Probabilistic Inference with Subgoaling: Explaining Human Successes and Pitfalls in the Tower of Hanoi. - Francesco Donnarumma; Domenico Maisto; Giovanni Pezzulo (PLoS Comput. Biol., 2016)

You cannot speak and listen at the same time: a probabilistic model of turn-taking. - Francesco Donnarumma; Haris Dindo; Pierpaolo Iodice; Giovanni Pezzulo (Biol. Cybern., 2017)

Model-Based Approaches to Active Perception and Control. - Giovanni Pezzulo; Francesco Donnarumma; Pierpaolo Iodice; Domenico Maisto; Ivilin Peev Stoianov (Entropy, 2017)

Sensorimotor Communication for Humans and Robots: Improving Interactive Skills by Sending Coordination Signals. - Francesco Donnarumma; Haris Dindo; Giovanni Pezzulo (IEEE Trans. Cogn. Dev. Syst., 2018)

Metrological performance of a single-channel Brain-Computer Interface based on Motor Imagery. - Leopoldo Angrisani; Pasquale Arpaia; Francesco Donnarumma; Antonio Esposito 002; Nicola Moccaldi; Marco Parvis (I2MTC, 2019)

Feasibility of cardiovascular risk assessment through non-invasive measurements. - Pasquale Arpaia; Renato Cuocolo; Francesco Donnarumma; Dario D'Andrea; Antonio Esposito 002; Nicola Moccaldi; Angela Natalizio; Roberto Prevete (MetroInd4.0&IoT, 2019)

Instrumentation for Motor Imagery-based Brain Computer Interfaces relying on dry electrodes: a functional analysis. - Leopoldo Angrisani; Pasquale Arpaia; Francesco Donnarumma; Antonio Esposito 002; Mirco Frosolone; Giovanni Improta; Nicola Moccaldi; Angela Natalizio; Marco Parvis (I2MTC, 2020)

Moral decisions in the age of COVID-19: your choices really matter. - Francesco Donnarumma; Giovanni Pezzulo (CoRR, 2020)

Hysteresis Modeling in Iron-Dominated Magnets Based on a Multi-Layered NARX Neural Network Approach. - Maria Amodeo; Pasquale Arpaia; Marco Buzio; Vincenzo Di Capua; Francesco Donnarumma (Int. J. Neural Syst., 2021)

Channel Selection for Optimal EEG Measurement in Motor Imagery-Based Brain-Computer Interfaces. - Pasquale Arpaia; Francesco Donnarumma; Antonio Esposito 002; Marco Parvis (Int. J. Neural Syst., 2021)

A survey on modern trainable activation functions. - Andrea Apicella 001; Francesco Donnarumma; Francesco Isgrò; Roberto Prevete (Neural Networks, 2021)

Non-immersive Versus Immersive Extended Reality for Motor Imagery Neurofeedback Within a Brain-Computer Interfaces. - Pasquale Arpaia; Damien Coyle; Francesco Donnarumma; Antonio Esposito 002; Angela Natalizio; Marco Parvis (XR (2), 2022)

Multimodal Feedback in Assisting a Wearable Brain-Computer Interface Based on Motor Imagery. - Pasquale Arpaia; Damien Coyle; Francesco Donnarumma; Antonio Esposito 002; Angela Natalizio; Marco Parvis; Marisa Pesola; Ersilia Vallefuoco (MetroXRAINE, 2022)

Integrating large language models and active inference to understand eye movements in reading and dyslexia. - Francesco Donnarumma; Mirco Frosolone; Giovanni Pezzulo (CoRR, 2023)

Exploring the Latent Space of Person-Specific Convolutional Autoencoders for Eye-Blink Artefact Mitigation in EEG Signals. - Sabatina Criscuolo; Salvatore Giugliano; Andrea Apicella 001; Francesco Donnarumma; Francesco Amato 001; Annarita Tedesco; Luca Longo (RTSI, 2024)

Interactive Inference: A Multi-Agent Model of Cooperative Joint Actions. - Domenico Maisto; Francesco Donnarumma; Giovanni Pezzulo (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Modeling Motor Control in Continuous Time Active Inference: A Survey. - Matteo Priorelli; Federico Maggiore; Antonella Maselli; Francesco Donnarumma; Domenico Maisto; Francesco Mannella; Ivilin Peev Stoianov; Giovanni Pezzulo (IEEE Trans. Cogn. Dev. Syst., 2024)

Enhancing EEG-Based MI-BCIs with Class-Specific and Subject-Specific Features Detected by Neural Manifold Analysis. - Mirco Frosolone; Roberto Prevete; Lorenzo Ognibeni; Salvatore Giugliano; Andrea Apicella 001; Giovanni Pezzulo; Francesco Donnarumma (Sensors, 2024)

Active Digital Twins via Active Inference. - Matteo Torzoni; Domenico Maisto; Andrea Manzoni; Francesco Donnarumma; Giovanni Pezzulo; Alberto Corigliano (CoRR, 2025)