Claudius Gros

Orcid: 0000-0002-2126-0843

According to our database1, Claudius Gros authored at least 44 papers between 2005 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
Editorial: The roles of self-organization and sensory adaptation for locomotion in animals and robots.
Frontiers Neurorobotics, 2024

Climbing the Complexity Ladder with Expressive Attention.
CoRR, 2024

Self-organized Attractoring in Locomoting Animals and Robots: An Emerging Field.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023
Scaling Laws for a Multi-Agent Reinforcement Learning Model.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Neural Self-organization for Muscle-Driven Robots.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022
Flow Control: Local Spectral Radius Regulation.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Size Scaling in Self-Play Reinforcement Learning.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021
Nonlinear Dendritic Coincidence Detection for Supervised Learning.
Frontiers Comput. Neurosci., 2021

Local Homeostatic Regulation of the Spectral Radius of Echo-State Networks.
Frontiers Comput. Neurosci., 2021

Emotions as Abstract Evaluation Criteria in Biological and Artificial Intelligences.
Frontiers Comput. Neurosci., 2021

Collective Strategy Condensation: When Envy Splits Societies.
Entropy, 2021

Charting closed-loop collective cultural decisions: From book best sellers and music downloads to Twitter hashtags and Reddit comments.
CoRR, 2021

Investment vs. reward in a competitive knapsack problem.
CoRR, 2021

2019
A generic framework for task selection driven by synthetic emotions.
CoRR, 2019

When the goal is to generate a series of activities: A self-organized simulated robot arm.
CoRR, 2019

Embodied robots driven by self-organized environmental feedback.
Adapt. Behav., 2019

2018
Kick Control: Using the Attracting States Arising Within the Sensorimotor Loop of Self-Organized Robots as Motor Primitives.
Frontiers Neurorobotics, 2018

An empirical study of the per capita yield of science Nobel prizes: Is the US era coming to an end?
CoRR, 2018

2017
Complex activity patterns generated by short-term synaptic plasticity.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

A self-organized one-neuron controller for artificial life on wheels.
Proceedings of the Fourteenth European Conference Artificial Life, 2017

2016
Closed-loop Robots Driven by Short-Term Synaptic Plasticity: Emergent Explorative vs. Limit-Cycle Locomotion.
Frontiers Neurorobotics, 2016

Drifting States and Synchronization Induced Chaos in Autonomous Networks of Excitable Neurons.
Frontiers Comput. Neurosci., 2016

The Role of the Sensorimotor Loop for Cognition.
Proceedings of the Cognitive Robot Architectures, 2016

2015
Two-Trace Model for Spike-Timing-Dependent Synaptic Plasticity.
Neural Comput., 2015

The Sensorimotor Loop as a Dynamical System: How Regular Motion Primitives May Emerge from Self-Organized Limit Cycles.
Frontiers Robotics AI, 2015

Corrigendum: Generating Functionals for Computational Intelligence: The Fisher Information as an Objective Function for Self-Limiting Hebbian Learning Rules.
Frontiers Robotics AI, 2015

The Fisher Information as a Neural Guiding Principle for Independent Component Analysis.
Entropy, 2015

An objective function for self-limiting neural plasticity rules.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014
Generating Functionals for Computational Intelligence: The Fisher Information as an Objective Function for Self-Limiting Hebbian Learning Rules.
Frontiers Robotics AI, 2014

Exploration in free word association networks: models and experiment.
Cogn. Process., 2014

Attractor Metadynamics in Adapting Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013
A Self-Organized Neural Comparator.
Neural Comput., 2013

2012
Intrinsic Adaptation in Autonomous Recurrent Neural Networks.
Neural Comput., 2012

A large-scale study of the World Wide Web: network correlation functions with scale-invariant boundaries
CoRR, 2012

Pushing the Complexity Barrier: Diminishing Returns in the Sciences.
Complex Syst., 2012

2011
Emotional Control-Conditio Sine Qua Non for Advanced Artificial Intelligences?
Proceedings of the Philosophy and Theory of Artificial Intelligence, 2011

Neuropsychological constraints to human data production on a global scale
CoRR, 2011

2010
Semantic learning in autonomously active recurrent neural networks.
Log. J. IGPL, 2010

Cognition and Emotion: Perspectives of a Closing Gap.
Cogn. Comput., 2010

2009
Cognitive Computation with Autonomously Active Neural Networks: An Emerging Field.
Cogn. Comput., 2009

Stimulus processing and unsupervised learning in autonomously active recurrent networks.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008
Evolving complex networks with conserved clique distributions
CoRR, 2008

Evolving Complete Cognitive Architectures: The Role of Neural Competition and Diffusive Emotional Control for Learning and Emergent Cognitive Capabilities.
Proceedings of the Biologically Inspired Cognitive Architectures, 2008

2005
Self-sustained Thought Processes in a Dense Associative Network.
Proceedings of the KI 2005: Advances in Artificial Intelligence, 2005


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