Publikationen, an denen er mitarbeitet JOSÉ ANTONIO VILLACORTA ATIENZA (14)

2021

  1. Static internal representation of dynamic situations reveals time compaction in human cognition

    Journal of Advanced Research, Vol. 28, pp. 111-125

2020

  1. Semantic Knowledge Representation for Strategic Interactions in Dynamic Situations

    Frontiers in Neurorobotics, Vol. 14

2018

  1. Cognitive Neural Network Driving DoF-Scalable Limbs in Time-Evolving Situations

    Proceedings of the International Joint Conference on Neural Networks

  2. Experimental evidences of time compaction in human cognition

    Opera Medica et Physiologica, Vol. 4, pp. 59-60

2017

  1. Holistic model of cognitive limbs for dynamic situations

    NEUROTECHNIX 2017 - Proceedings of the 5th International Congress on Neurotechnology, Electronics and Informatics

  2. Limb Movement in Dynamic Situations Based on Generalized Cognitive Maps

    Mathematical Modelling of Natural Phenomena, Vol. 12, Núm. 4, pp. 15-29

2016

  1. WAVES in ISOTROPIC TOTALISTIC CELLULAR AUTOMATA: APPLICATION to REAL-TIME ROBOT NAVIGATION

    Advances in Complex Systems, Vol. 19, Núm. 4-5

2015

  1. Prediction-for-CompAction: navigation in social environments using generalized cognitive maps

    Biological Cybernetics, Vol. 109, Núm. 3, pp. 307-320

2014

  1. Compact internal representation of dynamic environments: Simple memory structures for complex situations

    Cognitive Systems Monographs, Vol. 21, pp. 83-100

2013

  1. Neural network architecture for cognitive navigation in dynamic environments

    IEEE Transactions on Neural Networks and Learning Systems, Vol. 24, Núm. 12, pp. 2075-2087

  2. Wave-Processing of Long-Scale Information by Neuronal Chains

    PLoS ONE, Vol. 8, Núm. 2

2011

  1. Compact internal representation as a protocognitive scheme for robots in dynamic environments

    Proceedings of SPIE - The International Society for Optical Engineering

  2. FPGA implementation of a modified FitZhugh-Nagumo neuron based causal neural network for compact internal representation of dynamic environments

    Proceedings of SPIE - The International Society for Optical Engineering

2010

  1. Compact internal representation of dynamic situations: Neural network implementing the causality principle

    Biological Cybernetics, Vol. 103, Núm. 4, pp. 285-297