Encyclopedia of computational neuroscience

The annual Computational Neuroscience Meeting (CNS) began in 1990 as a small workshop called Analysis and Modeling of Neural Systems. The goal of the workshop was to explore the boundary between neuroscience and computation. Riding on the success of several seminal papers, physicists had made "...

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Other Authors: Jäger, Dieter,, Jung, Ranu,, SpringerLink (Online service)
Format: eBook
Language: English
Published: New York, NY : Springer, 2022.
Physical Description: 1 online resource : illustrations (some color)
Edition: Second edition.
Subjects:
Table of Contents:
  • 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.