G. Baldassarre

G. Baldassarre, V. Santucci, Emilio Cartoni, 2019, 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Autonomous Reinforcement Learning of Multiple Interrelated Tasks 1

G. Baldassarre, V. Santucci, 2019 .

Open-Ended Learning of Skills in Robots : Insights from Looking at the Brain

Bruno C. da Silva, D. Caligiore, G. Baldassarre, 2015 .

Intrinsic Motivations Drive Learning of Eye Movements: An Experiment with Human Adults

Jochen Triesch, Peter Redgrave, Maria De Marsico, 2015, PloS one.

What are the Key Open Challenges for Understanding Autonomous Cumulative Learning of Skills ?

Marco Mirolli, Gianluca Baldassarre, G. Baldassarre, 2010 .

Instrumental Conditioning Driven by Apparently Neutral Stimuli: A Model Tested with a Simulated Robotic Rat

Francesco Mannella, Kevin Gurney, Marco Mirolli, 2008 .

Instrumental Conditioning Driven by Neutral Stimuli : A Model Tested with a Simulated Robotic Rat

K. Gurney, G. Baldassarre, M. Mirolli, 2008 .

An Analysis of the Ideomotor Principle and TOTE

Martin V. Butz, Cristiano Castelfranchi, Giovanni Pezzulo, 2006 .

From Goals to Actions and Viceversa : An Analysis of the Ideomotor Principle and the TOTE

Martin Volker Butz, G. Pezzulo, G. Baldassarre, 2006 .

Cultural evolution of "guiding criteria" and behaviour in a population of neural-network agents

Gianluca Baldassarre, G. Baldassarre, 2002 .

How Affordances Associated with a distractor Object Can Cause Compatibility Effects: A Study with the Computational Model TRoPICALS

A. Cangelosi, D. Parisi, D. Caligiore, 2015 .

Appetitive Pavlovian-instrumental Transfer: A review

B. Balleine, G. Baldassarre, Emilio Cartoni, 2016, Neuroscience & Biobehavioral Reviews.

Modelling Perception with Artificial Neural Networks: The interplay of Pavlovian and instrumental processes in devaluation experiments: a computational embodied neuroscience model tested with a simulated rat

G. Baldassarre, M. Mirolli, Francesco Mannella, 2010 .

A Pilot Study on the Evolution of Reward Signals for Hierarchical Reinforcement Learning

G. Baldassarre, M. Schembri, Massimiliano Schembri, 2006 .

The SWARM-BOT Project

M. Dorigo, D. Floreano, S. Nolfi, 2005 .

The three principles of action: a Pavlovian-instrumental transfer hypothesis

G. Baldassarre, S. Puglisi‐Allegra, Emilio Cartoni, 2013, Front. Behav. Neurosci..

A bio-inspired learning signal for the cumulative learning of different skills

G. Baldassarre, M. Mirolli, V. Santucci, 2012 .

TRoPICALS : A Computational Embodied Neuroscience Model of Experiments on Compatibility Effects

D. Parisi, D. Caligiore, G. Baldassarre, 2010 .

Research on Brain and Behaviour , and Agent-Based Modelling , will Deeply Impact Investigations on Well-Being ( and Theoretical Economics )

G. Baldassarre, 2007 .

Classical and instrumental conditioning : From laboratory phenomena to integrated mechanisms for adaptation

D. Parisi, G. Baldassarre, 2000 .

Needs and motivations as mechanisms of learning and control of behaviour : interference problems with multiple tasks

G. Baldassarre, 2000 .

Brains , Anticipations , Individual and Social Behavior : An Introduction to Anticipatory Behavior Systems

Olivier Sigaud, Martin Volker Butz, G. Pezzulo, 2007 .

Comparison of genetic algorithms used to evolve specialisation in groups of robots

D. Parisi, G. Baldassarre, Tomassino Ferrauto, 2006 .

A Computational Model Integrating Multiple Phenomena on Cued Fear Conditioning, Extinction, and Reinstatement

G. Baldassarre, M. Pagani, A. Mattera, 2020, Frontiers in Systems Neuroscience.

Action observation and motor imagery for rehabilitation in Parkinson's disease: A systematic review and an integrative hypothesis

Daniele Caligiore, Gianluca Baldassarre, Magda Mustile, 2017, Neuroscience & Biobehavioral Reviews.

The Importance of Viewing Cognition as the Result of Emergent Processes Occurring at Different Time Scales

S. Nolfi, G. Baldassarre, D. Marocco, 2003 .

From Goals to Actions and Vice-versa : The Ideomotor Principle , TOTE , and Actual System Implementations

Martin Volker Butz, G. Pezzulo, G. Baldassarre, 2007 .

Space Perception through Visuokinesthetic Prediction

Olivier Sigaud, G. Pezzulo, G. Baldassarre, 2009 .

Interplay of prefrontal cortex and amygdala during extinction of drug seeking

G. Baldassarre, S. Puglisi‐Allegra, Emilio Cartoni, 2017, Brain Structure and Function.

Action Observation With Dual Task for Improving Cognitive Abilities in Parkinson’s Disease: A Pilot Study

D. Caligiore, G. Baldassarre, F. Piras, 2019, Front. Syst. Neurosci..

Computational Modeling of Catecholamines Dysfunction in Alzheimer’s Disease at Pre-Plaque Stage

D. Caligiore, G. Baldassarre, S. Puglisi‐Allegra, 2020, Journal of Alzheimer's disease : JAD.

Designing Socially Assistive Robot (SAR) for Cognitive Child-Robot Interaction (CCRI) with children with Autism Spectrum Disorder - The case of “+me”

D. Caligiore, G. Baldassarre, V. Sperati, 2017 .

Different Dopaminergic Dysfunctions Underlying Parkinsonian Akinesia and Tremor

D. Caligiore, G. Baldassarre, Francesco Mannella, 2019, Front. Neurosci..

Corticolimbic catecholamines in stress: a computational model of the appraisal of controllability

Francesco Mannella, Marco Mirolli, Gianluca Baldassarre, 2014, Brain Structure and Function.

A quick overview of LOCEN-ISTC-CNR theoretical analyses and system-level computational models of brain : from motivations to actions

G. Baldassarre, 2014 .

Computational Principles Underlying the Functioning of Amygdala in the Affective Regulation of Behaviour

G. Baldassarre, M. Mirolli, Francesco Mannella, 2008 .

Acceptability of the Transitional Wearable Companion “+me” in Children With Autism Spectrum Disorder: A Comparative Pilot Study

G. Baldassarre, V. Sperati, Tania Moretta, 2020, Frontiers in Psychology.

Acceptability of the Transitional Wearable Companion “+me” in Typical Children: A Pilot Study

G. Baldassarre, V. Sperati, Tania Moretta, 2019, Front. Psychol..

Integrating unsupervised and reinforcement learning in human categorical perception: A computational model

G. Baldassarre, Giovanni Granato, Emilio Cartoni, 2022, PloS one.

Emotions Modulate Affordances-Related Motor Responses: A Priming Experiment

D. Caligiore, G. Baldassarre, A. Borghi, 2022, Frontiers in Psychology.

Sensorimotor Contingencies as a Key Drive of Development: From Babies to Robots

J. O'Regan, G. Baldassarre, V. Santucci, 2019, Front. Neurorobot..

Risk factors for endoscopic severity of diverticular disease of the colon and its outcome: a real-life case-control study

G. Baldassarre, A. Tursi, F. Di Mario, 2020, European journal of gastroenterology & hepatology.

A Biologically Inspired Neural Network Model to Gain Insight Into the Mechanisms of Post-Traumatic Stress Disorder and Eye Movement Desensitization and Reprocessing Therapy

G. Baldassarre, Giovanni Granato, A. Mattera, 2022, Frontiers in Psychology.

Barrett’s esophagus: results from an Italian cohort with tight endoscopic surveillance

G. Baldassarre, L. Franzoni, L. Brozzi, 2022, Acta bio-medica : Atenei Parmensis.

Autonomous Open-Ended Learning of Tasks with Non-Stationary Interdependencies

G. Baldassarre, R. Duro, V. Santucci, 2022, ArXiv.

A Robotic Architecture for the Autonomous Open-Ended Learning of Interdependent Tasks

G. Baldassarre, V. Santucci, Emilio Cartoni, 2022 .

A computational model of inner speech supporting flexible goal-directed behaviour in Autism

G. Baldassarre, A. Borghi, Giovanni Granato, 2022, Scientific Reports.

Open-Ended Learning Robots: Overview of ISTC-CNR Research in the Project GOAL-Robots

G. Baldassarre, Francesco Mannella, V. Santucci, 2022 .

A multi-expert ensemble system for predicting Alzheimer transition using clinical features

D. Caligiore, G. Baldassarre, C. Guariglia, 2022, Brain Informatics.

A neuro-inspired computational model of life-long learning and catastrophic interference, mimicking hippocampus novelty-based dopamine modulation and lateral inhibitory plasticity

G. Baldassarre, A. Mattera, Pierangelo Afferni, 2022, Frontiers in Computational Neuroscience.

Interactions between supervised and reinforcement learning processes in a neurorobotic model

D. Caligiore, G. Baldassarre, Francesco Mannella, 2022, bioRxiv.

A Natural Human-Drone Embodied Interface: Empirical Comparison With a Traditional Interface

M. De Marsico, G. Baldassarre, A. Borghi, 2022, Frontiers in Neurorobotics.

How affordances associated with a distractor object affect compatibility effects: A study with the computational model TRoPICALS

A. Cangelosi, D. Parisi, D. Caligiore, 2012, Psychological Research.

A Neurocomputational Account of Flexible Goal-directed Cognition and Consciousness: The Goal-Aligning Representation Internal Manipulation Theory (GARIM)

G. Baldassarre, Giovanni Granato, 2019, 1912.13490.

Autonomous learning of multiple curricula with non-stationary interdependencies*

G. Baldassarre, R. Duro, V. Santucci, 2022, 2022 IEEE International Conference on Development and Learning (ICDL).

Exploration and learning in capuchin monkeys (Sapajus spp.): the role of action–outcome contingencies

E. Visalberghi, E. Guglielmelli, G. Baldassarre, 2014, Animal Cognition.

Transitional Wearable Companions: A Novel Concept of Soft Interactive Social Robots to Improve Social Skills in Children with Autism Spectrum Disorder

D. Caligiore, G. Baldassarre, V. Sperati, 2016, International Journal of Social Robotics.

Forward and Bidirectional Planning Based on Reinforcement Learning and Neural Networks in a Simulated Robot

Gianluca Baldassarre, G. Baldassarre, 2003, ABiALS.

Planning with neural networks and reinforcement learning

Gianluca Baldassarre, G. Baldassarre, 2001 .

A Reinforcement-Learning Model of Top-Down Attention Based on a Potential-Action Map

Christian Balkenius, Dimitri Ognibene, Gianluca Baldassarre, 2008, The Challenge of Anticipation.

Intrinsically Motivated Learning in Natural and Artificial Systems

Marco Mirolli, Gianluca Baldassarre, G. Baldassarre, 2013 .

A generative spiking neural-network model of goal-directed behaviour and one-step planning

Andrea Brovelli, Gianluca Baldassarre, Emilio Cartoni, 2020, PLoS Comput. Biol..

A spiking neural-network model of goal-directed behaviour

Andrea Brovelli, Gianluca Baldassarre, Emilio Cartoni, 2019, bioRxiv.

A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface

G. Baldassarre, C. Porcaro, F. Mattioli, 2021, Journal of neural engineering.

Dysfunctions of the basal ganglia-cerebellar-thalamo-cortical system produce motor tics in Tourette syndrome

Michael A. Arbib, Francesco Mannella, Daniele Caligiore, 2017, PLoS Comput. Biol..

Distributed Coordination of Simulated Robots Based on Self-Organization

Stefano Nolfi, Domenico Parisi, Gianluca Baldassarre, 2006, Artificial Life.

The embodied mind extended: using words as social tools

Luca Tummolini, Daniele Caligiore, Gianluca Baldassarre, 2013, Front. Psychol..

Ecological Active Vision: Four Bioinspired Principles to Integrate Bottom–Up and Adaptive Top–Down Attention Tested With a Simple Camera-Arm Robot

Dimitri Ognibene, Gianluca Baldassarre, G. Baldassarre, 2015, IEEE Transactions on Autonomous Mental Development.

Keep focussing: striatal dopamine multiple functions resolved in a single mechanism tested in a simulated humanoid robot

Raymond J. Dolan, Francesco Mannella, Karl J. Friston, 2014, Front. Psychol..

Comparison between different colon cleansing products for screening colonoscopy. A noninferiority trial in population-based screening programs in Italy

G. Baldassarre, M. Zorzi, B. Germanà, 2016, Endoscopy.

Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems

Martin V. Butz, Olivier Sigaud, Giovanni Pezzulo, 2007, SAB ABiALS.

Modelling mental rotation in cognitive robots

Angelo Cangelosi, Daniele Caligiore, Gianluca Baldassarre, 2013, Adapt. Behav..

A cognitive robotic model of mental rotation

Angelo Cangelosi, Daniele Caligiore, Gianluca Baldassarre, 2013, 2013 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB).

Computational and Robotic Models of the Hierarchical Organization of Behavior: An Overview

Marco Mirolli, Gianluca Baldassarre, G. Baldassarre, 2013, Computational and Robotic Models of the Hierarchical Organization of Behavior.

General differential Hebbian learning: Capturing temporal relations between events in neural networks and the brain

Francesco Mannella, Marco Mirolli, Gianluca Baldassarre, 2018, PLoS Comput. Biol..

Interplay of Rhythmic and Discrete Manipulation Movements During Development: A Policy-Search Reinforcement-Learning Robot Model

Loredana Zollo, Eugenio Guglielmelli, Fabrizio Taffoni, 2016, IEEE Transactions on Cognitive and Developmental Systems.

A reinforcement learning model of reaching integrating kinematic and dynamic control in a simulated arm robot

Eugenio Guglielmelli, Daniele Caligiore, Gianluca Baldassarre, 2010, 2010 IEEE 9th International Conference on Development and Learning.

AFFORDANCES AND COMPATIBILITY EFFECTS: A NEURAL-NETWORK COMPUTATIONAL MODEL

Daniele Caligiore, Anna M. Borghi, Domenico Parisi, 2009 .

Modular and hierarchical brain organization to understand assimilation, accommodation and their relation to autism in reaching tasks: a developmental robotics hypothesis

Paolo Tommasino, Daniele Caligiore, Gianluca Baldassarre, 2014, Adapt. Behav..

Bio-Inspired Model Learning Visual Goals and Attention Skills Through Contingencies and Intrinsic Motivations

Gianluca Baldassarre, Valerio Sperati, G. Baldassarre, 2018, IEEE Transactions on Cognitive and Developmental Systems.

Modelling Coordination of Learning Systems: A Reservoir Systems Approach to Dopamine Modulated Pavlovian Conditioning

Tom Ziemke, Francesco Mannella, Robert Lowe, 2009, ECAL.

Intrinsically motivated action-outcome learning and goal-based action recall: a system-level bio-constrained computational model.

Francesco Mannella, Kevin Gurney, Peter Redgrave, 2013, Neural networks : the official journal of the International Neural Network Society.

A Testbed for Neural-Network Models Capable of Integrating Information in Time

Stefano Nolfi, Gianluca Baldassarre, Stefano Zappacosta, 2007, SAB ABiALS.

The "Mechatronic Board": A Tool to Study Intrinsic Motivations in Humans, Monkeys, and Humanoid Robots

Francesco Mannella, Domenico Formica, Maria Scorcia, 2013, Intrinsically Motivated Learning in Natural and Artificial Systems.

Phasic dopamine as a prediction error of intrinsic and extrinsic reinforcements driving both action acquisition and reward maximization: A simulated robotic study

Marco Mirolli, Gianluca Baldassarre, Vieri G. Santucci, 2013, Neural Networks.

The architecture challenge: Future artificial-intelligence systems will require sophisticated architectures, and knowledge of the brain might guide their construction

Daniele Caligiore, Gianluca Baldassarre, Emilio Cartoni, 2017, Behavioral and Brain Sciences.

A Computational Model of Representation Learning in the Brain Cortex, Integrating Unsupervised and Reinforcement Learning pdf

Gianluca Baldassarre, Giovanni Granato, Federico Da Rold, 2021, ArXiv.

Generalisation, decision making, and embodiment effects in mental rotation: A neurorobotic architecture tested with a humanoid robot

Angelo Cangelosi, Daniele Caligiore, Gianluca Baldassarre, 2015, Neural Networks.

C-GRAIL: Autonomous Reinforcement Learning of Multiple and Context-Dependent Goals

G. Baldassarre, V. Santucci, Davide Montella, 2023, IEEE Transactions on Cognitive and Developmental Systems.

Autonomous learning of multiple, context-dependent tasks pdf

Bruno Castro da Silva, Gianluca Baldassarre, Vieri Giuliano Santucci, 2020, ArXiv.

Editorial: Intrinsically Motivated Open-Ended Learning in Autonomous Robots

Pierre-Yves Oudeyer, Gianluca Baldassarre, Andrew Barto, 2020, Frontiers in Neurorobotics.

An Embodied Agent Learning Affordances With Intrinsic Motivations and Solving Extrinsic Tasks With Attention and One-Step Planning

Gianluca Baldassarre, William Lord, Vieri Giuliano Santucci, 2019, Front. Neurorobot..

Autonomous Open-Ended Learning of Interdependent Tasks pdf

Bruno Castro da Silva, Gianluca Baldassarre, Emilio Cartoni, 2019, ArXiv.

Know Your Body Through Intrinsic Goals

Francesco Mannella, Gianluca Baldassarre, Lisa Jacquey, 2018, Front. Neurorobot..

Autonomous discovery of the goal space to learn a parameterized skill pdf

Gianluca Baldassarre, Emilio Cartoni, G. Baldassarre, 2018, ArXiv.

Intrinsically motivated discovered outcomes boost user's goals achievement in a humanoid robot

Gianluca Baldassarre, Vieri Giuliano Santucci, Kristsana Seepanomwan, 2017, 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Autonomous selection of the “what” and the “how” of learning: An intrinsically motivated system tested with a two armed robot

Marco Mirolli, Gianluca Baldassarre, Vieri G. Santucci, 2014, 4th International Conference on Development and Learning and on Epigenetic Robotics.

Learning where to look with movement-based intrinsic motivations: A bio-inspired model

Gianluca Baldassarre, Valerio Sperati, G. Baldassarre, 2014, 4th International Conference on Development and Learning and on Epigenetic Robotics.

Which is the best intrinsic motivation signal for learning multiple skills?

Marco Mirolli, Gianluca Baldassarre, Vieri G. Santucci, 2013, Front. Neurorobot..

What are intrinsic motivations? A biological perspective

Gianluca Baldassarre, G. Baldassarre, 2011, 2011 IEEE International Conference on Development and Learning (ICDL).

Evolution and Learning in an Intrinsically Motivated Reinforcement Learning Robot

Marco Mirolli, Gianluca Baldassarre, Massimiliano Schembri, 2007, ECAL.

Evolving Childhood's Length and Learning Parameters in an Intrinsically Motivated Reinforcement Learning Robot

Marco Mirolli, Gianluca Baldassarre, Massimiliano Schembri, 2007 .

Goal-directed top-down control of perceptual representations: A computational model of the Wisconsin Card Sorting Test

Gianluca Baldassarre, Giovanni Granato, G. Baldassarre, 2019, 2019 Conference on Cognitive Computational Neuroscience.

Intrinsically Motivated Learning Systems: An Overview

Marco Mirolli, Gianluca Baldassarre, G. Baldassarre, 2013, Intrinsically Motivated Learning in Natural and Artificial Systems.

Effectiveness and Safety of Pylera® in Patients Infected by Helicobacter Pylori: A Multicenter, Retrospective, Real Life Study

G. Baldassarre, E. Savarino, A. Tursi, 2018, Digestive Diseases.

New bismuth‐containing quadruple therapy in patients infected with Helicobacter pylori: A first Italian experience in clinical practice

G. Baldassarre, S. Landi, A. Tursi, 2017, Helicobacter.

Adenoma Detection Rate and Colorectal Cancer Risk in Fecal Immunochemical Test Screening Programs

G. Baldassarre, M. Rugge, M. Zorzi, 2023, Annals of Internal Medicine.

How can bottom-up information shape learning of top-down attention-control skills?

Giovanni Pezzulo, Dimitri Ognibene, Gianluca Baldassarre, 2010, 2010 IEEE 9th International Conference on Development and Learning.

Learning to Look in Different Environments: An Active-Vision Model Which Learns and Readapts Visual Routines

Giovanni Pezzulo, Dimitri Ognibene, Gianluca Baldassarre, 2010, SAB.

Biological Cumulative Learning through Intrinsic Motivations: A Simulated Robotic Study on the Development of Visually-Guided Reaching

Marco Mirolli, Gianluca Baldassarre, Vieri G. Santucci, 2010, EpiRob.

Selection of cortical dynamics for motor behaviour by the basal ganglia

Francesco Mannella, Gianluca Baldassarre, G. Baldassarre, 2015, Biological Cybernetics.

The Role of Learning and Kinematic Features in Dexterous Manipulation: A Comparative Study with Two Robotic Hands

Eugenio Guglielmelli, Anna Lisa Ciancio, Daniele Caligiore, 2013 .

Functions and Mechanisms of Intrinsic Motivations

Marco Mirolli, Gianluca Baldassarre, G. Baldassarre, 2013, Intrinsically Motivated Learning in Natural and Artificial Systems.

Neural Circuits Underlying Social Fear in Rodents: An Integrative Computational Model

G. Baldassarre, A. Mattera, Valerio Alfieri, 2022, Frontiers in Systems Neuroscience.

Functions and Mechanisms of Intrinsic Motivations The Knowledge Versus Competence Distinction

G. Baldassarre, M. Mirolli, 2012 .

Learning parameterized motor skills on a humanoid robot

Bruno Castro da Silva, Andrew G. Barto, George Konidaris, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Navigation via Pavlovian conditioning: a robotic bio-constrained model of autoshaping in rats

Francesco Mannella, Gianluca Baldassarre, Ansgar Koene, 2009, EpiRob.

Cumulative Learning Through Intrinsic Reinforcements

Marco Mirolli, Gianluca Baldassarre, Vieri G. Santucci, 2014, Evolution, Complexity and Artificial Life.

Research on Cognitive Robotics at the Institute of Cognitive Sciences and Technologies, National Research Council of Italy (ISTC-CNR)

Stefano Nolfi, Amedeo Cesta, Giovanni Pezzulo, 2011 .

A Computational Model of the Amygdala Nuclei's Role in Second Order Conditioning

Francesco Mannella, Marco Mirolli, Gianluca Baldassarre, 2008, SAB.

Intrinsic motivations and open-ended learning pdf

Gianluca Baldassarre, G. Baldassarre, 2019, ArXiv.

Deciding Which Skill to Learn When: Temporal-Difference Competence-Based Intrinsic Motivation (TD-CB-IM)

Marco Mirolli, Gianluca Baldassarre, G. Baldassarre, 2013, Intrinsically Motivated Learning in Natural and Artificial Systems.

The roles of the amygdala in the affective regulation of body, brain, and behaviour

Francesco Mannella, Marco Mirolli, Gianluca Baldassarre, 2010, Connect. Sci..

A Reinforcement Learning Architecture That Transfers Knowledge Between Skills When Solving Multiple Tasks

Paolo Tommasino, Marco Mirolli, Daniele Caligiore, 2019, IEEE Transactions on Cognitive and Developmental Systems.

The Hierarchical Organisation of Cortical and Basal-Ganglia Systems: A Computationally-Informed Review and Integrated Hypothesis

Francesco Mannella, Daniele Caligiore, Gianluca Baldassarre, 2013, Computational and Robotic Models of the Hierarchical Organization of Behavior.

Integrating Epistemic Action (Active Vision) and Pragmatic Action (Reaching): A Neural Architecture for Camera-Arm Robots

Christian Balkenius, Dimitri Ognibene, Gianluca Baldassarre, 2008, SAB.

A computational model of language functions in flexible goal-directed behaviour

Gianluca Baldassarre, Anna M Borghi, Giovanni Granato, 2020, Scientific Reports.

Mo1135 Gastrin 17 As Non Invasive Marker of Reflux Disease

G. Baldassarre, C. Scarpignato, M. Franceschi, 2015 .

Sa1749 Serological Diagnosis of Upper GI Diseases in Primary Care Setting

G. Baldassarre, M. Franceschi, F. Mario, 2015 .

A method for the ethical analysis of brain-inspired AI

Sacha Jennifer van Albada, G. Baldassarre, B. Stahl, 2023, Artif. Intell. Rev..

The Role of Amygdala in Devaluation : A Model Tested with a Simulated Rat

Gianluca Baldassarre, G. Baldassarre, 2007 .

A McKibben muscle arm learning equilibrium postures

P. Tommasino, D. Caligiore, V. Sperati, 2012, 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob).

Leveraging curiosity to encourage social interactions in children with Autism Spectrum Disorder: preliminary results using the interactive toy PlusMe

G. Baldassarre, V. Sperati, N. Faedda, 2022, CHI Extended Abstracts.

Supporting turn-taking activities: a pilot study using a smart toy with children with a diagnosis of neurodevelopmental disorders

G. Baldassarre, M. Schembri, V. Sperati, 2023, International Conference on Interaction Design and Children.

Co-designing play activities and monitoring tools with smart interactive toys to support early intervention in Autism Spectrum Disorder and comparable neurodevelopmental conditions

G. Baldassarre, V. Sperati, Beste Ozcan, 2023, IDC.

Interactive soft toys to support social engagement through sensory-motor plays in early intervention of kids with special needs

G. Baldassarre, M. Schembri, V. Sperati, 2022, IDC.

Transitional Wearable Companions: A Novel Concept of Soft Interactive Social Robots to Improve Social Skills in Children with Autism Spectrum Disorder

Daniele Caligiore, Gianluca Baldassarre, Valerio Sperati, 2016, International Journal of Social Robotics.

"X-8": An Experimental Interactive Toy to Support Turn-Taking Games in Children with Autism Spectrum Disorders

Gianluca Baldassarre, Valerio Sperati, Beste Özcan, 2021, HCI.

Strengths and synergies of evolved and designed controllers: A study within collective robotics

Stefano Nolfi, Gianluca Baldassarre, S. Nolfi, 2009, Artif. Intell..

Self-Organized Coordinated Motion in Groups of Physically Connected Robots

Marco Dorigo, Stefano Nolfi, Francesco Mondada, 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

A non-invasive combined strategy to improve the appropriateness of upper gastrointestinal endoscopy

G. Baldassarre, L. Franzoni, L. Brozzi, 2022, Acta bio-medica : Atenei Parmensis.

From Actions to Goals and Vice-Versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE

Martin V. Butz, Cristiano Castelfranchi, Giovanni Pezzulo, 2007, SAB ABiALS.

Different Genetic Algorithms and the Evolution of Specialization: A Study with Groups of Simulated Neural Robots

Domenico Parisi, Gabriele Di Stefano, Gianluca Baldassarre, 2013, Artificial Life.

Low Levels of Gastrin 17 are Related with Endoscopic Findings of Esophagitis and Typical Symptoms of GERD.

G. Baldassarre, E. Savarino, L. Franzoni, 2021, Journal of Gastrointestinal and Liver Diseases.

Coordination and Behaviour Integration in Cooperating Simulated Robots

Stefano Nolfi, Domenico Parisi, Gianluca Baldassarre, 2004 .

Autism and Inner Speech: A Computational Model of Language Functions in Autistic Flexible Behaviour

G. Baldassarre, A. Borghi, Giovanni Granato, 2021 .

A spiking neuron model of the cortico-basal ganglia circuits for goal-directed and habitual action learning.

Giovanni Pezzulo, Marco Mirolli, Gianluca Baldassarre, 2013, Neural networks : the official journal of the International Neural Network Society.

Which factors affect the evolution of delay tolerance in non-human primates? A critical review.

D. Caligiore, G. Baldassarre, D. Hanuš, 2014 .

Intrinsic Motivations and Planning to Explain Tool-Use Development: A Study With a Simulated Robot Model

Daniele Caligiore, Gianluca Baldassarre, Kristsana Seepanomwan, 2022, IEEE Transactions on Cognitive and Developmental Systems.

Optimal Options for Multi-Task Reinforcement Learning Under Time Constraints pdf

Gianluca Baldassarre, Manuel Del Verme, Bruno Castro da Silva, 2020, ArXiv.

Learning High-Level Planning Symbols from Intrinsically Motivated Experience pdf

Angelo Oddi, Riccardo Rasconi, Gianluca Baldassarre, 2019, ArXiv.

Intrinsic motivation mechanisms for competence acquisition

Marco Mirolli, Gianluca Baldassarre, Vieri G. Santucci, 2012, 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL).

Integrating Open-Ended Learning in the Sense-Plan-Act Robot Control Paradigm

Francesco Mannella, Angelo Oddi, Riccardo Rasconi, 2020, ECAI.

Computational and Robotic Models of the Hierarchical Organization of Behavior

Marco Mirolli, Gianluca Baldassarre, G. Baldassarre, 2013, Springer Berlin Heidelberg.

Learning Multiple Tasks with Non-stationary Interdependencies in Autonomous Robots

G. Baldassarre, R. Duro, V. Santucci, 2023, AAMAS.

Evolving Self-Organizing Behaviors for a Swarm-Bot

M. Dorigo, D. Floreano, S. Nolfi, 2004, Auton. Robots.

The SWARM-BOTS Project

Luca Maria Gambardella, Marco Dorigo, Stefano Nolfi, 2004, Künstliche Intell..

Evolution of Collective Behavior in a Team of Physically Linked Robots

Stefano Nolfi, Domenico Parisi, Gianluca Baldassarre, 2003, EvoWorkshops.

General differential Hebbian learning: Capturing temporal relations between events in neural networks and the brain

G. Baldassarre, M. Mirolli, Francesco Mannella, 2018, PLoS Comput. Biol..

A NEURAL-NETWORK MODEL OF THE DYNAMICS OF HUNGER, LEARNING, AND ACTION VIGOR IN MICE

Domenico Parisi, Marco Mirolli, Gianluca Baldassarre, 2009 .

Evolving Self-Organizing Behaviors for a Swarm-Bot

M. Dorigo, D. Floreano, S. Nolfi, 2004, Auton. Robots.

A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface

G. Baldassarre, C. Porcaro, F. Mattioli, 2021 .

A bio-inspired attention model of anticipation in gaze-contingency experiments with infants

Jochen Triesch, Daniele Caligiore, Gianluca Baldassarre, 2012, 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL).

A Computational Hypothesis on How Serotonin Regulates Catecholamines in the Pathogenesis of Depressive Apathy

D. Caligiore, G. Baldassarre, Massimo Stefano Silvetti, 2019, Springer Series in Cognitive and Neural Systems.

The Relationship Between Specific Pavlovian Instrumental Transfer and Instrumental Reward Probability

G. Baldassarre, S. Cabib, Emilio Cartoni, 2015, Front. Psychol..

Functional dyspesia

G. Baldassarre, L. Franzoni, F. Di Mario, 2020, Acta bio-medica : Atenei Parmensis.

Reinforcement learning algorithms that assimilate and accommodate skills with multiple tasks

Paolo Tommasino, Marco Mirolli, Daniele Caligiore, 2012, 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL).

A Bioinspired Hierarchical Reinforcement Learning Architecture for Modeling Learning of Multiple Skills with Continuous States and Actions

Domenico Parisi, Marco Mirolli, Daniele Caligiore, 2010, EpiRob.

Learning Abstract Representations Through Lossy Compression of Multimodal Signals

G. Baldassarre, J. Triesch, Charles Wilmot, 2021, IEEE Transactions on Cognitive and Developmental Systems.

Corticolimbic catecholamines in stress: a computational model of the appraisal of controllability

R. Dolan, G. Baldassarre, M. Mirolli, 2014, Brain Structure and Function.

A spiking neuron model of the cortico-basal ganglia circuits for goal-directed and habitual action learning.

G. Pezzulo, G. Baldassarre, M. Mirolli, 2013, Neural networks : the official journal of the International Neural Network Society.

Neuroscience and Biobehavioral Reviews Theories and Computational Models of Affordance and Mirror Systems: an Integrative Review

T. Ziemke, G. Baldassarre, A. Borghi, 2022 .

Research on cognitive robotics at the Institute of Cognitive Sciences and Technologies, National Research Council of Italy

S. Nolfi, G. Pezzulo, G. Baldassarre, 2011, Cognitive Processing.

A Neurocomputational Account of Flexible Goal-directed Cognition and Consciousness: The Goal-Aligning Representation Internal Manipulation Theory (GARIM)

G. Baldassarre, Giovanni Granato, 2019, 1912.13490.

Modelling mental rotation in cognitive robots

A. Cangelosi, G. Baldassarre, Kristsana Seepanomwan, 2013, Adapt. Behav..

TRoPICALS: a computational embodied neuroscience model of compatibility effects.

G. Baldassarre, A. Borghi, Daniele Caligiore, 2010, Psychological review.

Learning to select targets within targets in reaching tasks

G. Baldassarre, O. Herbort, D. Ognibene, 2007, 2007 IEEE 6th International Conference on Development and Learning.

A Model of Reaching that Integrates Reinforcement Learning and Population Encoding of Postures

Angelo Rega, Dimitri Ognibene, Gianluca Baldassarre, 2006, SAB.

Affordances of distractors and compatibility effects: a study with the computational model TRoPICALS

A. Cangelosi, D. Parisi, G. Baldassarre, 2011 .

Toward an integrated biomimetic model of reaching

D. Caligiore, G. Baldassarre, D. Parisi, 2007, 2007 IEEE 6th International Conference on Development and Learning.

A modular neural-network model of the basal ganglia’s role in learning and selecting motor behaviours

Gianluca Baldassarre, G. Baldassarre, 2002, Cognitive Systems Research.

G. Baldassarre, M. Mirolli, Francesco Mannella, 2010 .

Computational Principles Underlying the Functioning of Amygdala in the Affective Regulation of Behaviour

G. Baldassarre, M. Mirolli, Francesco Mannella, 2008 .

Comparison between different colon cleansing products for screening colonoscopy. A noninferiority trial in population-based screening programs in Italy

G. Baldassarre, M. Zorzi, B. Germanà, 2016, Endoscopy.

REAL-X—Robot Open-Ended Autonomous Learning Architecture: Building Truly End-to-End Sensorimotor Autonomous Learning Systems

G. Baldassarre, J. Triesch, Emilio Cartoni, 2023, IEEE Transactions on Cognitive and Developmental Systems.

Action-outcome contingencies as the engine of open-ended learning: computational models and developmental experiments

Francesco Mannella, Gianluca Baldassarre, J. Kevin O'Regan, 2018, 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

A mechatronic platform for behavioral analysis on nonhuman primates.

Domenico Formica, Eugenio Guglielmelli, Valentina Truppa, 2012, Journal of integrative neuroscience.

From Sensorimotor to Higher-Level Cognitive Processes: An Introduction to Anticipatory Behavior Systems

Martin V. Butz, Olivier Sigaud, Giovanni Pezzulo, 2009, ABiALS.

Anticipatory Behavior in Adaptive Learning Systems

Olivier Sigaud, Martin Volker Butz, G. Pezzulo, 2009 .

Multi-sensory Wearable Bio-feedback Pillow to Enhance Genuine Feeling of Intimate Connection

G. Baldassarre, Beste Ozcan, Flora Giocondo, 2023, TEI.