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MATLAB for neuroscientists : an introduction to scientific computing in MATLAB / Pascal Wallisch ... [et al.].

Colaborador(es): Tipo de material: TextoTextoEditor: Amsterdam ; Boston : Elsevier/Academic Press, c2009Descripción: xiv, 384 páginas, [8] páginas de láminas : ilustraciones (algunas a color) ; 25 cmTipo de contenido:
  • texto
Tipo de medio:
  • no mediado
Tipo de soporte:
  • volumen
ISBN:
  • 0123745519
  • 9780123745514
Tema(s): Clasificación CDD:
  • 612.80285 M433 2009
Recursos en línea:
Contenidos:
Part I: Fundamentals -- Introduction -- MATLAB Tutorial -- Part II: Data Collection with MATLAB -- Visual Search and Pop Out -- Attention -- Psychophysics -- Signal Detection Theory -- Part III: Data Analysis with MATLAB -- Frequency Analysis Part I: Fourier decomposition -- Frequency Analysis Part II: Non-stationary Signals and Spectrograms -- Wavelets -- Convolution -- Introduction to Phase Plane Analysis -- Exploring the Fitzhugh-Nagumo Model -- Neural Data Analysis: Encoding -- Principal Components Analysis -- Information Theory -- Neural Decoding: Discrete variables -- Neural Decoding: Continuous variables -- Functional Magnetic Imaging -- Part IV: Data Modeling with MATLAB -- Voltage-Gated Ion Channels -- Models of a Single Neuron -- Models of the Retina -- Simplified Models of Spiking Neurons -- Fitzhugh-Nagumo Model: Traveling Waves -- Decision Theory -- Markov Model -- Modeling Spike Trains as a Poisson Process -- Synaptic Transmission -- Neural Networks: Unsupervised learning -- Neural Network: Supervised Learning -- Appendix A: Thinking in MATLAB -- Appendix B: Linear Algebra Review -- Appendix C: Master equation list.
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Libro Biblioteca Central Colección General 612.80285 M433 2009 (Navegar estantería(Abre debajo)) Disponible GEN 33409002815722
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Incluye bibliografía (p. 371-377).

Part I: Fundamentals -- Introduction -- MATLAB Tutorial -- Part II: Data Collection with MATLAB -- Visual Search and Pop Out -- Attention -- Psychophysics -- Signal Detection Theory -- Part III: Data Analysis with MATLAB -- Frequency Analysis Part I: Fourier decomposition -- Frequency Analysis Part II: Non-stationary Signals and Spectrograms -- Wavelets -- Convolution -- Introduction to Phase Plane Analysis -- Exploring the Fitzhugh-Nagumo Model -- Neural Data Analysis: Encoding -- Principal Components Analysis -- Information Theory -- Neural Decoding: Discrete variables -- Neural Decoding: Continuous variables -- Functional Magnetic Imaging -- Part IV: Data Modeling with MATLAB -- Voltage-Gated Ion Channels -- Models of a Single Neuron -- Models of the Retina -- Simplified Models of Spiking Neurons -- Fitzhugh-Nagumo Model: Traveling Waves -- Decision Theory -- Markov Model -- Modeling Spike Trains as a Poisson Process -- Synaptic Transmission -- Neural Networks: Unsupervised learning -- Neural Network: Supervised Learning -- Appendix A: Thinking in MATLAB -- Appendix B: Linear Algebra Review -- Appendix C: Master equation list.

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