Now showing items 1-4 of 4

    • Information entropy production of maximum entropy markov chains from spike trains 

      Cofré, Rodrigo; Maldonado Ahumada, César Octavio (2018)
      "The spiking activity of neuronal networks follows laws that are not time-reversal symmetric; the notion of pre-synaptic and post-synaptic neurons, stimulus correlations and noise correlations have a clear time order. ...
    • Large deviations properties of maximum entropy markov chains from spike trains 

      Cofré, Rodrigo; Maldonado Ahumada, César Octavio; Rosas, Fernando (2018)
      "We consider the maximum entropy Markov chain inference approach to characterize the collective statistics of neuronal spike trains, focusing on the statistical properties of the inferred model. To find the maximum entropy ...
    • Monitoring lipase/esterase activity by stopped flow in a sequential injection analysis system using p-nitrophenyl butyrate 

      Pliego Sandoval, Jorge Enrique; Mateos Díaz, Juan Carlos; Rodríguez González, Jorge Alberto; Francisco Valero; Maria del Mar Baeza Labat; Femat Flores, Alejandro Ricardo; Camacho Ruíz, Rosa María; Sandoval Fabián, Georgina Coral; Enrique J Herrera López (2015)
      "Lipases and esterases are biocatalysts used at the laboratory and industrial level. To obtain the maximum yield in a bioprocess, it is important to measure key variables, such as enzymatic activity. The conventional method ...
    • Virtual estimator for piecewise linear systems based on observability analysis 

      Morales Morales, Cornelio; Adam Medina, Manuel; Cervantes Camacho, Ilse; Vela Valdés, Luis Gerardo; García Beltrán, Carlos Daniel (2013)
      "This article proposes a virtual sensor for piecewise linear systems based on observability analysis that is in function of a commutation law related with the system's outpu. This virtual sensor is also known as a state ...