Add to ORKGIn neuro-biological modeling, no good software technologies currently exist that are memory-e/cient and give access to all the mathematical details of a large model. Here we present en-abling technologies that deal with transformations of parameters of a large model. The discussed techniques allow to store models in a memory-e2ective way. c © 2004 Published by Elsevier B.V
The need for reproducible, credible, multiscale biological modeling has led to the development of st...
Neuromorphic hardware systems provide new possibilities for the neuroscience modeling community. Due...
Biological nervous systems and the mechanisms underlying their operation exhibit astonishing complex...
This repository contains the code for the models used in "Biological complexity facilitates tuning o...
Neuroscience models commonly have a high number of degrees of freedom and only specific regions with...
Realistic neuronal models can serve as devices to collect, evaluate and distribute information conc...
Computational neuroscience is an interdisciplinary field that incorporates an analysis of brain func...
Advances in experimental techniques and computational power allowing researchers to gather anatomica...
Abstract — Modeling neural tissue is an important tool to investigate biological neural networks. Un...
Computational neuroscience aims to elucidate the mechanisms of neural information processing and pop...
Advances in experimental techniques and computational power allowing researchers to gather anatomica...
Neuroscience incorporates knowledge from a range of scales, from single molecules to brain wide neur...
As computational neuroscience matures, many simulation environments are available that are useful fo...
Neuroscience is grappling with problems of increasing complexity andscale as exemplified by projects...
In this article, we present a methodological framework that meets novel requirements emerging from u...
The need for reproducible, credible, multiscale biological modeling has led to the development of st...
Neuromorphic hardware systems provide new possibilities for the neuroscience modeling community. Due...
Biological nervous systems and the mechanisms underlying their operation exhibit astonishing complex...
This repository contains the code for the models used in "Biological complexity facilitates tuning o...
Neuroscience models commonly have a high number of degrees of freedom and only specific regions with...
Realistic neuronal models can serve as devices to collect, evaluate and distribute information conc...
Computational neuroscience is an interdisciplinary field that incorporates an analysis of brain func...
Advances in experimental techniques and computational power allowing researchers to gather anatomica...
Abstract — Modeling neural tissue is an important tool to investigate biological neural networks. Un...
Computational neuroscience aims to elucidate the mechanisms of neural information processing and pop...
Advances in experimental techniques and computational power allowing researchers to gather anatomica...
Neuroscience incorporates knowledge from a range of scales, from single molecules to brain wide neur...
As computational neuroscience matures, many simulation environments are available that are useful fo...
Neuroscience is grappling with problems of increasing complexity andscale as exemplified by projects...
In this article, we present a methodological framework that meets novel requirements emerging from u...
The need for reproducible, credible, multiscale biological modeling has led to the development of st...
Neuromorphic hardware systems provide new possibilities for the neuroscience modeling community. Due...
Biological nervous systems and the mechanisms underlying their operation exhibit astonishing complex...