Francesco Donnarumma

Orcid: 0000-0003-4248-5360

According to our database1, Francesco Donnarumma authored at least 26 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Modeling Motor Control in Continuous Time Active Inference: A Survey.
IEEE Trans. Cogn. Dev. Syst., April, 2024

Interactive Inference: A Multi-Agent Model of Cooperative Joint Actions.
IEEE Trans. Syst. Man Cybern. Syst., February, 2024

2023
Integrating large language models and active inference to understand eye movements in reading and dyslexia.
CoRR, 2023

2022
Multimodal Feedback in Assisting a Wearable Brain-Computer Interface Based on Motor Imagery.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

Non-immersive Versus Immersive Extended Reality for Motor Imagery Neurofeedback Within a Brain-Computer Interfaces.
Proceedings of the Extended Reality - First International Conference, 2022

2021
A survey on modern trainable activation functions.
Neural Networks, 2021

Channel Selection for Optimal EEG Measurement in Motor Imagery-Based Brain-Computer Interfaces.
Int. J. Neural Syst., 2021

Hysteresis Modeling in Iron-Dominated Magnets Based on a Multi-Layered NARX Neural Network Approach.
Int. J. Neural Syst., 2021

2020
Moral decisions in the age of COVID-19: your choices really matter.
CoRR, 2020

Instrumentation for Motor Imagery-based Brain Computer Interfaces relying on dry electrodes: a functional analysis.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

2019
Feasibility of cardiovascular risk assessment through non-invasive measurements.
Proceedings of the 2nd Workshop on Metrology for Industry 4.0 and IoT MetroInd4.0&IoT 2019, 2019

Metrological performance of a single-channel Brain-Computer Interface based on Motor Imagery.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019

2018
Sensorimotor Communication for Humans and Robots: Improving Interactive Skills by Sending Coordination Signals.
IEEE Trans. Cogn. Dev. Syst., 2018

2017
Model-Based Approaches to Active Perception and Control.
Entropy, 2017

You cannot speak and listen at the same time: a probabilistic model of turn-taking.
Biol. Cybern., 2017

2016
Problem Solving as Probabilistic Inference with Subgoaling: Explaining Human Successes and Pitfalls in the Tower of Hanoi.
PLoS Comput. Biol., 2016

Nonparametric Problem-Space Clustering: Learning Efficient Codes for Cognitive Control Tasks.
Entropy, 2016

Learning programs is better than learning dynamics: A programmable neural network hierarchical architecture in a multi-task scenario.
Adapt. Behav., 2016

2015
A Programmer-Interpreter Neural Network Architecture for Prefrontal Cognitive Control.
Int. J. Neural Syst., 2015

The intentional stance as structure learning: a computational perspective on mindreading.
Biol. Cybern., 2015

2013
Mental imagery in the navigation domain: a computational model of sensory-motor simulation mechanisms.
Adapt. Behav., 2013

2012
Programming in the brain: a neural network theoretical framework.
Connect. Sci., 2012

Fast incremental clustering and representation of a 3D point cloud sequence with planar regions.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2011
A Robotic Scenario for Programmable Fixed-Weight Neural Networks Exhibiting Multiple Behaviors.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

2010
An Action-tuned Neural Network Architecture for Hand Pose Estimation.
Proceedings of the ICFC-ICNC 2010, 2010

2008
CTRNN Parameter Learning using Differential Evolution.
Proceedings of the ECAI 2008, 2008


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