Eduardo Ros | University of Granada (original) (raw)

Uploads

Papers by Eduardo Ros

Research paper thumbnail of On Robot Compliance: A Cerebellar Control Approach

IEEE Transactions on Cybernetics, 2019

Research paper thumbnail of Musculoskeletal Robots: Scalability in Neural Control

IEEE Robotics & Automation Magazine, 2016

Research paper thumbnail of Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation

PLOS Computational Biology, 2019

Research paper thumbnail of Real-Time Clustering and Multi-Target Tracking Using Event-Based Sensors

2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018

Research paper thumbnail of Enhancing White Rabbit Synchronization Stability and Scalability Using P2P Transparent and Hybrid Clocks

IEEE Transactions on Industrial Informatics, 2021

Research paper thumbnail of Connection control implications in a distributed plasticity cerebellar model

Research paper thumbnail of Corrigendum: Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks

Frontiers in neuroinformatics, 2018

Research paper thumbnail of Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks

Frontiers in Neuroinformatics, 2017

Research paper thumbnail of Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform

Frontiers in neurorobotics, 2017

Combined efforts in the fields of neuroscience, computer science, and biology allowed to design b... more Combined efforts in the fields of neuroscience, computer science, and biology allowed to design biologically realistic models of the brain based on spiking neural networks. For a proper validation of these models, an embodiment in a dynamic and rich sensory environment, where the model is exposed to a realistic sensory-motor task, is needed. Due to the complexity of these brain models that, at the current stage, cannot deal with real-time constraints, it is not possible to embed them into a real-world task. Rather, the embodiment has to be simulated as well. While adequate tools exist to simulate either complex neural networks or robots and their environments, there is so far no tool that allows to easily establish a communication between brain and body models. The Neurorobotics Platform is a new web-based environment that aims to fill this gap by offering scientists and technology developers a software infrastructure allowing them to connect brain models to detailed simulations of ...

Research paper thumbnail of A computing architecture for correcting perspective distortion in motion-detection based visual systems

Research paper thumbnail of A low level real-time vision system using specific computing architectures

Proceedings of the 6th Wseas International Conference on Signal Processing Computational Geometry Artificial Vision, 2006

Research paper thumbnail of Arquitectura multiescala de cálculo de flujo óptico basado en la fase

Research paper thumbnail of Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue

Frontiers in Cellular Neuroscience, 2016

Research paper thumbnail of Article Background Subtraction Based on Color and Depth Using Active Sensors

Research paper thumbnail of A Computer Aided Digonsis Systems: Using Genetic Algorithm with Classifier of the K-Nearest Neighbours

Research paper thumbnail of Superpipelined high-performance optical-flow computation architecture

Computer Vision and Image Understanding, Dec 1, 2008

Optical-flow computation is a well-known technique and there are important fields in which the ap... more Optical-flow computation is a well-known technique and there are important fields in which the application of this visual modality commands high interest. Nevertheless, most real-world applications require real-time processing, an issue which has only recently been addressed. Most real-...

Research paper thumbnail of Post-synaptic Time-dependent Conductances in Spiking Neurons: FPGA Implementation of a Flexible Cell Model

Proceedings of the 7th International Work Conference on Artificial and Natural Neural Networks Part Ii Artificial Neural Nets Problem Solving Methods, Jun 5, 2009

Abstract. In this oaoer we consider one of the bie challenees when . . :on;lrualn@ rnodu:lr bc.n:... more Abstract. In this oaoer we consider one of the bie challenees when . . :on;lrualn@ rnodu:lr bc.n:\lor :rch:aurcs ior inc. conlrol oir::,ls).slctrl;. th: IS. lho\\. 1s dcadc. \\un:I? iooJulc sr OIIIIOO 01. IIIS UI S [aka :s111roI siIIc ... 3clu3ton In order lo mplc.mc.nt IIIC br\hilvor th: robot ...

Research paper thumbnail of Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model

Frontiers in Computational Neuroscience, 2016

Research paper thumbnail of A Computational Framework for Realistic Retina Modeling

International Journal of Neural Systems, 2016

Computational simulations of the retina have led to valuable insights about the biophysics of its... more Computational simulations of the retina have led to valuable insights about the biophysics of its neuronal activity and processing principles. A great number of retina models have been proposed to reproduce the behavioral diversity of the different visual processing pathways. While many of these models share common computational stages, previous efforts have been more focused on fitting specific retina functions rather than generalizing them beyond a particular model. Here, we define a set of computational retinal microcircuits that can be used as basic building blocks for the modeling of different retina mechanisms. To validate the hypothesis that similar processing structures may be repeatedly found in different retina functions, we implemented a series of retina models simply by combining these computational retinal microcircuits. Accuracy of the retina models for capturing neural behavior was assessed by fitting published electrophysiological recordings that characterize some of...

Research paper thumbnail of Realtime computing platform for spiking neurons (rt-spike),” Neural Networks

Research paper thumbnail of On Robot Compliance: A Cerebellar Control Approach

IEEE Transactions on Cybernetics, 2019

Research paper thumbnail of Musculoskeletal Robots: Scalability in Neural Control

IEEE Robotics & Automation Magazine, 2016

Research paper thumbnail of Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation

PLOS Computational Biology, 2019

Research paper thumbnail of Real-Time Clustering and Multi-Target Tracking Using Event-Based Sensors

2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018

Research paper thumbnail of Enhancing White Rabbit Synchronization Stability and Scalability Using P2P Transparent and Hybrid Clocks

IEEE Transactions on Industrial Informatics, 2021

Research paper thumbnail of Connection control implications in a distributed plasticity cerebellar model

Research paper thumbnail of Corrigendum: Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks

Frontiers in neuroinformatics, 2018

Research paper thumbnail of Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks

Frontiers in Neuroinformatics, 2017

Research paper thumbnail of Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform

Frontiers in neurorobotics, 2017

Combined efforts in the fields of neuroscience, computer science, and biology allowed to design b... more Combined efforts in the fields of neuroscience, computer science, and biology allowed to design biologically realistic models of the brain based on spiking neural networks. For a proper validation of these models, an embodiment in a dynamic and rich sensory environment, where the model is exposed to a realistic sensory-motor task, is needed. Due to the complexity of these brain models that, at the current stage, cannot deal with real-time constraints, it is not possible to embed them into a real-world task. Rather, the embodiment has to be simulated as well. While adequate tools exist to simulate either complex neural networks or robots and their environments, there is so far no tool that allows to easily establish a communication between brain and body models. The Neurorobotics Platform is a new web-based environment that aims to fill this gap by offering scientists and technology developers a software infrastructure allowing them to connect brain models to detailed simulations of ...

Research paper thumbnail of A computing architecture for correcting perspective distortion in motion-detection based visual systems

Research paper thumbnail of A low level real-time vision system using specific computing architectures

Proceedings of the 6th Wseas International Conference on Signal Processing Computational Geometry Artificial Vision, 2006

Research paper thumbnail of Arquitectura multiescala de cálculo de flujo óptico basado en la fase

Research paper thumbnail of Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue

Frontiers in Cellular Neuroscience, 2016

Research paper thumbnail of Article Background Subtraction Based on Color and Depth Using Active Sensors

Research paper thumbnail of A Computer Aided Digonsis Systems: Using Genetic Algorithm with Classifier of the K-Nearest Neighbours

Research paper thumbnail of Superpipelined high-performance optical-flow computation architecture

Computer Vision and Image Understanding, Dec 1, 2008

Optical-flow computation is a well-known technique and there are important fields in which the ap... more Optical-flow computation is a well-known technique and there are important fields in which the application of this visual modality commands high interest. Nevertheless, most real-world applications require real-time processing, an issue which has only recently been addressed. Most real-...

Research paper thumbnail of Post-synaptic Time-dependent Conductances in Spiking Neurons: FPGA Implementation of a Flexible Cell Model

Proceedings of the 7th International Work Conference on Artificial and Natural Neural Networks Part Ii Artificial Neural Nets Problem Solving Methods, Jun 5, 2009

Abstract. In this oaoer we consider one of the bie challenees when . . :on;lrualn@ rnodu:lr bc.n:... more Abstract. In this oaoer we consider one of the bie challenees when . . :on;lrualn@ rnodu:lr bc.n:\lor :rch:aurcs ior inc. conlrol oir::,ls).slctrl;. th: IS. lho\\. 1s dcadc. \\un:I? iooJulc sr OIIIIOO 01. IIIS UI S [aka :s111roI siIIc ... 3clu3ton In order lo mplc.mc.nt IIIC br\hilvor th: robot ...

Research paper thumbnail of Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model

Frontiers in Computational Neuroscience, 2016

Research paper thumbnail of A Computational Framework for Realistic Retina Modeling

International Journal of Neural Systems, 2016

Computational simulations of the retina have led to valuable insights about the biophysics of its... more Computational simulations of the retina have led to valuable insights about the biophysics of its neuronal activity and processing principles. A great number of retina models have been proposed to reproduce the behavioral diversity of the different visual processing pathways. While many of these models share common computational stages, previous efforts have been more focused on fitting specific retina functions rather than generalizing them beyond a particular model. Here, we define a set of computational retinal microcircuits that can be used as basic building blocks for the modeling of different retina mechanisms. To validate the hypothesis that similar processing structures may be repeatedly found in different retina functions, we implemented a series of retina models simply by combining these computational retinal microcircuits. Accuracy of the retina models for capturing neural behavior was assessed by fitting published electrophysiological recordings that characterize some of...

Research paper thumbnail of Realtime computing platform for spiking neurons (rt-spike),” Neural Networks

Log In