Elucidating the intricate neural mechanisms underlying brain functions requires integrative
brain dynamics modeling. To facilitate this process, it is crucial to develop a general-purpose …

The neural mechanisms underlying brain functions are extremely complicated. Brain
dynamics modeling is an indispensable tool for elucidating these mechanisms by modeling …

Neuroscience currently lacks a comprehensive theory of how cognitive processes can be
implemented in a biological substrate. The Neural Engineering Framework (NEF) proposes …

DynaSim is an open-source MATLAB/GNU Octave toolbox for rapid prototyping of neural
models and batch simulation management. It is designed to speed up and simplify the …

Neuroscience simulators allow scientists to express models in terms of biological concepts,
without having to concern themselves with low-level computational details of their …

Neuroscience, cognitive science, and computer science are increasingly benefiting through
their interactions. This could be accelerated by direct sharing of computational models …

We present The Virtual Brain (TVB), a neuroinformatics platform for full brain network
simulations using biologically realistic connectivity. This simulation environment enables the …

Neuron modeling may be said to have originated with the Hodgkin and Huxley action
potential model in 1952 and Rall's models of integrative activity of dendrites in 1964. Over …

Computational models are powerful tools for exploring the properties of complex biological
systems. In neuroscience, data-driven models of neural circuits that span multiple scales are …

Biologically-and physically-informed models of neuronal dynamics have been advancing
since the mid-twentieth century. Recent developments in artificial intelligence (AI) have …