Dynamic Neuroscience
-15%
portes grátis
Dynamic Neuroscience
Statistics, Modeling, and Control
Chen, Zhe; Sarma, Sridevi V.
Springer International Publishing AG
03/2018
327
Dura
Inglês
9783319719757
15 a 20 dias
694
Descrição não disponível.
1. IntroductionPart I Statistics & Signal Processing2 Characterizing Complex, Multi-scale Neural Phenomena Using State-Space Models3 Latent Variable Modeling of Neural Population Dynamics4 What Can Trial-to-Trial Variability Tell Us? A Distribution-Based Approach to Spike Train Decoding in the Rat Hippocampus and Entorhinal Cortex5 Sparsity Meets Dynamics: Robust Solutions to Neuronal Identification and Inverse Problems6 Artifact Rejection for Concurrent TMS-EEG DataPart II Modeling & Control Theory7 Characterizing Complex Human Behaviors and Neural Responses Using Dynamic Models8 Brain-Machine Interfaces9 Control-theoretic Approaches for Modeling, Analyzing and Manipulating Neuronal (In)activity10 From Physiological Signals to Pulsatile Dynamics: A Sparse System Identification Approach11 Neural Engine Hypothesis12 Inferring Neuronal Network Mechanisms Underlying Anesthesia induced Oscillations Using Mathematical ModelsEpilogue
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Neural signal processing;Neuronal coding theories;Neural engineering;Neural activity;State-space paradigm;Hippocampal replay;Oscillatory and multivariate data;Gaussian approximation;Applications to neuronal data;Dynamical system model of behavior;Neuronal population theories;Brain-machine interface systems;Enteric nervous system;High-resolution electrogastrogram;Theoretical neuroscience;Statistical neuroscience
1. IntroductionPart I Statistics & Signal Processing2 Characterizing Complex, Multi-scale Neural Phenomena Using State-Space Models3 Latent Variable Modeling of Neural Population Dynamics4 What Can Trial-to-Trial Variability Tell Us? A Distribution-Based Approach to Spike Train Decoding in the Rat Hippocampus and Entorhinal Cortex5 Sparsity Meets Dynamics: Robust Solutions to Neuronal Identification and Inverse Problems6 Artifact Rejection for Concurrent TMS-EEG DataPart II Modeling & Control Theory7 Characterizing Complex Human Behaviors and Neural Responses Using Dynamic Models8 Brain-Machine Interfaces9 Control-theoretic Approaches for Modeling, Analyzing and Manipulating Neuronal (In)activity10 From Physiological Signals to Pulsatile Dynamics: A Sparse System Identification Approach11 Neural Engine Hypothesis12 Inferring Neuronal Network Mechanisms Underlying Anesthesia induced Oscillations Using Mathematical ModelsEpilogue
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Neural signal processing;Neuronal coding theories;Neural engineering;Neural activity;State-space paradigm;Hippocampal replay;Oscillatory and multivariate data;Gaussian approximation;Applications to neuronal data;Dynamical system model of behavior;Neuronal population theories;Brain-machine interface systems;Enteric nervous system;High-resolution electrogastrogram;Theoretical neuroscience;Statistical neuroscience
