Renan Cipriano Moioli

Orcid: 0000-0001-6036-8358

According to our database1, Renan Cipriano Moioli authored at least 31 papers between 2005 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
How VADER is your AI? Towards a definition of artificial intelligence systems appropriate for regulation.
CoRR, 2024

A Closed-Loop Deep Brain Stimulation Biomedical Model of Parkinson's Disease.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2024

2023
An Integrated Neurorobotics Model of the Cerebellar-Basal Ganglia Circuitry.
Int. J. Neural Syst., November, 2023

2022
Cyborg Insects: Bug or a Feature?
IEEE Access, 2022

2021
Neurorobotic Models of Neurological Disorders: A Mini Review.
Frontiers Neurorobotics, 2021

Neuro4PD: An Initial Neurorobotics Model of Parkinson's Disease.
Frontiers Neurorobotics, 2021

A Neurorobotics Approach to Behaviour Selection based on Human Activity Recognition.
CoRR, 2021

Neurosciences and Wireless Networks: The Potential of Brain-Type Communications and Their Applications.
IEEE Commun. Surv. Tutorials, 2021

A Data-Driven Biophysical Computational Model of Parkinson's Disease Based on Marmoset Monkeys.
IEEE Access, 2021

2020
Neurosciences and 6G: Lessons from and Needs of Communicative Brains.
CoRR, 2020

Brain-to-brain Wireless Communication and Technologies Beyond 5G.
CoRR, 2020

Providing Facilities in Health Care via Brain-Computer Interface and Internet of Things.
Proceedings of the 43rd International Convention on Information, 2020

Unveiling Parkinson's Disease Features from a Primate Model with Deep Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Predicting Epileptic Seizures: Case Studies Harnessing Machine Learning.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Evaluation of Frequency-Dependent Effects of Deep Brain Stimulation in a Cortex-Basal Ganglia-Thalamus Network Model of Parkinson's Disease<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2018
Neural decoding with SVM and feature selection in a rat active tactile discrimination task.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
A method for creating interactive, user-resembling avatars.
PeerJ Comput. Sci., 2017

2014
Self-localisation in indoor environments combining learning and evolution with wireless networks.
Proceedings of the Symposium on Applied Computing, 2014

Limitations of principal component analysis as a method to detect neuronal assemblies.
Proceedings of the 16th IEEE International Conference on e-Health Networking, 2014

Real time neural signal processing and visuo-motor integration: New perspectives for assistive technology.
Proceedings of the 16th IEEE International Conference on e-Health Networking, 2014

2013
Neuronal oscillations, information dynamics, and behaviour : an evolutionary robotics study.
PhD thesis, 2013

Neuronal Assembly Dynamics in Supervised and Unsupervised Learning Scenarios.
Neural Comput., 2013

2012
Synchronisation effects on the behavioural performance and information dynamics of a simulated minimally cognitive robotic agent.
Biol. Cybern., 2012

2010
The Dynamics of a Neural Network of Coupled Phase Oscillators with Synaptic Plasticity Controlling a Minimally Cognitive Agent.
Proceedings of the Artificial Neural Networks, 2010

Exploring the Kuramoto model of coupled oscillators in minimally cognitive evolutionary robotics tasks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Homeostasis and evolution together dealing with novelties and managing disruptions.
Int. J. Intell. Comput. Cybern., 2009

A multiple hormone approach to the homeostatic control of conflicting behaviours in an autonomous mobile robot.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Evolving an Artificial Homeostatic System.
Proceedings of the Advances in Artificial Intelligence, 2008

Towards the evolution of an artificial homeostatic system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Analysing Learning Classifier Systems in Reactive and Non-reactive Robotic Tasks.
Proceedings of the Learning Classifier Systems, 2007

2005
Artificial Homeostatic System: A Novel Approach.
Proceedings of the Advances in Artificial Life, 8th European Conference, 2005


  Loading...