Encyclopedia of Computational Neuroscience

ISBN-13: 9781071610046 / Angielski / Twarda / 2022 / 4200 str.

Dieter Jäger; Ranu Jung

Spis treści

Astrocyte Models.- Auditory Sensing Systems.- Basal Ganglia.- Bayesian Approaches in Computational Neuroscience.- Biochemical Signaling Pathways and Diffusion.- Brain Imaging.- Brain Machine Interface.- Cable Theory.- Cerebellum.- Compartmental Modeling.- Computational Neuroanatomy.- Cortex.- Databases in Computational Neuroscience.- Decision Making.- Deep Brain Stimulation (Models, Theory, Techniques).- Dynamical Systems.- Dynamics of Disease States.- Gamma and Theta Oscillations, Hippocampus.- Information Theory.- Invertebrate Pattern Generation.- Invertebrate Sensory Systems.- Ion Channel Types and Modeling.- Learning Rules.- LFP Analysis.- Low Frequency Oscillations (Anesthesia and Sleep).- Model Reproducibility.- Modeling of Disease - Molecular Level.- Modeling Software Tools.- Motoneurons and Neuromuscular Systems.- Multistability in Neurodynamics.- Neural Population Models and Cortical Field Theory.- Neuromodulation.- Neuromorphic Engineering.- Neuronal Model Optimization.- Olfaction.- Peripheral Nerve Interfaces.- Phase Response Curves.- Retinal/Visual Interfaces (Models, Theory, Techniques).- Somatosensory System.- Spectral Methods in Neural Data Analysis.- Spike Train Analysis.- Spinal and Neuromechanical Integration.- Spinal Interfaces.- Synaptic Dynamics.- Vertebrate Pattern Generation.- .-  Vestibular System.- Visual System.

O autorze

Dr. Dieter Jaeger is a professor in the Department of Biology at Emory University in Atlanta, Georgia. His research examines how basal ganglia impact decision-making and motor control in thalamo-cortical networks through modeling and systems physiological approaches.

Dr. Ranu Jung is Distinguished Professor of Biomedical Engineering and inaugural executive director of the Institute for Integrative and Innovative Research at the University of Arkansas, Fayetteville, Arkansas, where her research concerns neural engineering and computational neuroscience.