Uncovering the mechanics of neural computation in living organisms is increasingly shaping
the development of brain-inspired algorithms and silicon circuits in the domain of artificial …

Neuromorphic engineers aim to reproduce the spike-based computation of the brain by
morphing its neuroanatomy and neurophysiology into custom silicon VLSI (very largescale …

The central theme of this thesis is the development of both a generalised computational
model for large-scale brain networks and the neuroinformatics platform that enables a …

This article introduces a series of tutorials originally presented at the first annual World
Association of Modeling-Biologically Accurate Modeling Meeting (WAM-BAMM* 05) held in …

Computational Neuroscience is a still nascent field, aspiring to imitate the great success of
theoretical physics. The crucial advance of theoretical physics that transformed our …

Making use of very detailed neurophysiological, anatomical, and behavioral data to build
biologically-realistic computational models of animal behavior is often a difficult task. Until …

Neuromorphic engineering is a relatively young field that attempts to build physical
realizations of biologically realistic models of neural systems using electronic circuits …

The broad structure of a modeling study can often be explained over a cup of coffee, but
converting this high-level conceptual idea into graphs of the final simulation results may …

Research on modeling and mechanisms of the brain remains the most urgent and
challenging task. The customized embedded neuromorphic system is one of the most …

Embodied simulation with a digital brain model and a realistic musculoskeletal body model
provides a means to understand animal behavior and behavioral change. Such simulation …