This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past
several years, provides an in-depth introduction to the main ideas in the computational …

This is the second edition of a step-by-step tutorial for professionals, researchers and
students working in the area of neuroscience in general, and computational neuroscience in …

Churchland and Sejnowski address the foundational ideas of the emerging field of
computational neuroscience, examine a diverse range of neural network models, and …

Computational neuroscience is the theoretical study of the brain to uncover the principles
and mechanisms that guide the development, organization, information processing, and …

Every field of science relies on having its trusted sources of knowledge, the books that unite
investigators with a common language and provide them with the basic toolbox for …

Driven by rapid ongoing advances in computer hardware, neuroscience and computer
science, Artificial Brain research and development are blossoming. This article constitutes …

The authoritative reference on NEURON, the simulation environment for modeling biological
neurons and neural networks that enjoys wide use in the experimental and computational …

Neural computing is one of the most interesting and rapidly growing areas of research,
attracting researchers from a wide variety of scientific disciplines. Starting from the basics …

Designed primarily as an introduction to realistic modeling methods, Computational
Neuroscience: Realistic Modeling for Experimentalists focuses on methodological …

Modeling work in neuroscience can be classified using two different criteria. The first one is
the complexity of the model, ranging from simplified conceptual models that are amenable to …