Pedro Pascual

Publications (6)0 Total impact

• Source

  Available from: biomedcentral.com

  Conference Proceeding: Single Neuron Transient Activity Detection by Means of Tomography.

  Carlos Aguirre, Pedro Pascual, Doris Campos, Eduardo Serrano
  Advances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part I; 01/2011
• Conference Proceeding: Neuronal Behavior with Sub-threshold Oscillations and Spiking/Bursting Activity Using a Piecewise Linear Two-Dimensional Map.

  Carlos Aguirre, Doris Campos, Pedro Pascual, Eduardo Serrano
  Artificial Neural Networks: Biological Inspirations - ICANN 2005, 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part I; 01/2005
• Conference Proceeding: A Model of Spiking-Bursting Neuronal Behavior Using a Piecewise Linear Two-Dimensional Map.

  Carlos Aguirre, Doris Campos, Pedro Pascual, Eduardo Serrano
  Computational Intelligence and Bioinspired Systems, 8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Vilanova i la Geltrú, Barcelona, Spain, June 8-10, 2005, Proceedings; 01/2005
• Conference Proceeding: Criteria for Stability in Neural Network Models with Iterative Maps.

  Carlos Aguirre, Doris Campos, Pedro Pascual, Eduardo Serrano
  Advances in Neural Networks - ISNN 2004, International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part I; 01/2004
• Conference Proceeding: Effects of Different Connectivity Patterns in a Model of Cortical Circuits.

  Carlos Aguirre, Doris Campos, Pedro Pascual, Eduardo Serrano
  Artificial Neural Nets Problem Solving Methods, 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN2003, Maó, Menorca, Spain, June 3-6, 2003 Proceedings, Part I; 01/2003
• Source

  Available from: fdi.ucm.es

  Article: Synchronization effects using a piecewise linear map-based spiking–bursting neuron model

  Carlos Aguirre, Doris Campos, Pedro Pascual, Eduardo Serrano
  [show abstract] [hide abstract]
  ABSTRACT: Models of neurons based on iterative maps allows the simulation of big networks of coupled neurons without loss of biophysical properties such as spiking, bursting or tonic bursting and with an affordable computational effort. These models are built over a phenomenological basis and are mainly implemented by the use of iterative two-dimensional maps that can present neuro-computational properties similar to the usual differential models. A piecewise linear two-dimensional map with one fast and one slow coupled variables is used to model spiking–bursting neural behavior. This map shows oscillations similar to other phenomenological models based on maps that require a higher computational effort. The dynamics of coupled neurons is studied for different coupling strengths and the formation of spatio-temporal patterns of neuronal activity is also explored.
  Neurocomputing.