Computational Neuroscience Series - Böcker

Dynamical Systems in Neuroscience

The Geometry of Excitability and Bursting

23 Problems in Systems Neuroscience

Biophysics of Computation

Information processing in single neurons

Sensory Cue Integration

Methods in Neuronal Modeling

From Ions to Networks

Neural Nets in Electric Fish

Brain Computation as Hierarchical Abstraction

Theoretical Neuroscience

Computational and Mathematical Modeling of Neural Systems

Neural Control Engineering

The Emerging Intersection between Control Theory and Neuroscience

Metabolism of the Anthroposphere, second edition

Analysis, Evaluation, Design

Principles of Brain Dynamics

Global State Interactions

Unsupervised Learning

Foundations of Neural Computation

Visual Population Codes

Toward a Common Multivariate Framework for Cell Recording and Functional Imaging

Biological Learning and Control

How the Brain Builds Representations, Predicts Events, and Makes Decisions

Visual Cortex and Deep Networks

Learning Invariant Representations

From Neuron to Cognition via Computational Neuroscience

Introductory Course in Computational Neuroscience

Computational Vision

Information Processing in Perception and Visual Behavior

Computational Neurobiology of Reaching and Pointing

A Foundation for Motor Learning

Fast Oscillations in Cortical Circuits

Bayesian Brain

Probabilistic Approaches to Neural Coding

Case Studies in Neural Data Analysis

A Guide for the Practicing Neuroscientist

Computational Brain

Neural Engineering

Computation, Representation, and Dynamics in Neurobiological Systems

Self-Organizing Map Formation

Foundations of Neural Computation