Follow
Federico Da Rold
Federico Da Rold
Researcher, Institute of Cognitive Sciences and Technologies, National Research Council
Verified email at istc.cnr.it
Title
Cited by
Cited by
Year
Abstract concepts in interaction: The need of others when guessing abstract concepts smooths dyadic motor interactions
C Fini, V Era, F Da Rold, M Candidi, AM Borghi
Royal Society Open Science 8 (7), 201205, 2021
372021
From affordances to abstract words: The flexibility of sensorimotor grounding
C Mazzuca, C Fini, AH Michalland, I Falcinelli, F Da Rold, L Tummolini, ...
Brain Sciences 11 (10), 1304, 2021
282021
Defining embodied cognition: The problem of situatedness
F Da Rold
New Ideas in Psychology 51, 9-14, 2018
242018
Different kinds of embodied language: A comparison between Italian and Persian languages
M Ghandhari, C Fini, F Da Rold, AM Borghi
Brain and Cognition 142, 105581, 2020
162020
Male and female robots
F Da Rold, G Petrosino, D Parisi
Adaptive Behavior 19 (5), 317-334, 2011
132011
Abstract words as social tools: which necessary evidence?
AM Borghi, C Mazzuca, F Da Rold, I Falcinelli, C Fini, AH Michalland, ...
Frontiers in Psychology 11, 613026, 2021
92021
Deterministic chaos in mobile robots
F Da Rold
2015 International Joint Conference on Neural Networks (IJCNN), 1-7, 2015
52015
Integrating unsupervised and reinforcement learning in human categorical perception: A computational model
G Granato, E Cartoni, F Da Rold, A Mattera, G Baldassarre
Plos one 17 (5), e0267838, 2022
42022
Information-theoretic decomposition of embodied and situated systems
F Da Rold
Neural Networks 103, 94-107, 2018
32018
Chaotic analysis of embodied and situated agents
F Da Rold
Robotics and Autonomous Systems 95, 143-159, 2017
32017
Reconciling universalistic and relativistic perspectives on abstract and concrete concepts: a cross-cultural study
F Da Rold, C Mazzuca, C Fini, AM Borghi
PsyArXiv, 2023
2023
Synaptic pruning with MAP-elites
FD Rold, O Witkovski, N Aubert-Kato
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022
2022
A Computational Model of Representation Learning in the Brain Cortex, Integrating Unsupervised and Reinforcement Learning
G Granato, E Cartoni, F Da Rold, A Mattera, G Baldassarre
arXiv preprint arXiv:2106.03688, 2021
2021
Integrating unsupervised and reinforcement learning in human categorical perception: a computational model SUPPLEMENTARY MATERIALS
G Granato, E Cartoni, F Da Rold, A Mattera, G Baldassarre
The system can't perform the operation now. Try again later.
Articles 1–14