Francisco Javier Ropero Peláez

According to our database1, Francisco Javier Ropero Peláez authored at least 13 papers between 2007 and 2018.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2018
Introduction.
Int. J. Neural Syst., 2018

2017
Koniocortex-Like Network Unsupervised Learning Surpasses Supervised Results on WBCD Breast Cancer Database.
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017

2016
Intrinsic Plasticity for Natural Competition in Koniocortex-Like Neural Networks.
Int. J. Neural Syst., 2016

2015
The Koniocortex-Like Network: A New Biologically Plausible Unsupervised Neural Network.
Proceedings of the Artificial Computation in Biology and Medicine, 2015

2013
Do biological synapses perform probabilistic computations?
Neurocomputing, 2013

On the biological plausibility of artificial metaplasticity learning algorithm.
Neurocomputing, 2013

A Neural Network Simulation of Spreading Depression.
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013

2012
From Forced to Natural Competition in a Biologically Plausible Neural Network.
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

2011
Doman's Inclined Floor Method for Early Motor Organization Simulated with a Four Neurons Robot.
Proceedings of the Foundations on Natural and Artificial Computation, 2011

Probabilistic versus Incremental Presynaptic Learning in Biologically Plausible Synapses.
Proceedings of the Foundations on Natural and Artificial Computation, 2011

On the Biological Plausibility of Artificial Metaplasticity.
Proceedings of the Foundations on Natural and Artificial Computation, 2011

2007
Towards a Neural-Networks Based Therapy for Limbs Spasticity.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

A Preliminary Neural Model for Movement Direction Recognition Based on Biologically Plausible Plasticity Rules.
Proceedings of the Nature Inspired Problem-Solving Methods in Knowledge Engineering, 2007


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