Add to ORKGIn this paper we show a way to use high performance computing techniques in order to achieve a more suitable neural network simulation approach. Several mathematical models and softwares for biological cells modelling are described. The performance of a modified and optimized biological neuron computational model, based on multi-thread and message passing tools, are reported
Neuroscientists use computer simulations of neural systems in their efforts to understand processes...
Supercomputing is increasingly available in neuroscience and boosts the ability to create models wit...
Contains fulltext : 18657.pdf (publisher's version ) (Open Access)In this thesis, ...
In this paper we show a way to use high performance computing techniques in order to achieve a more ...
The simulation of large-scale biological spiking neural networks (SNN) is computationally onerous. I...
The simulation of brain areas (e.g. the visual cortex), comprising huge networks of integrate & ...
Obermayer K, Ritter H, Schulten K. Large-Scale Simulations of Self-organizing Neural Networks on Par...
Neuroscience is witnessing increasing knowledge about the anatomy and electrophysiological propertie...
The prototyping and the development of computational codes for biological models, in terms of reliab...
Exact modeling and fast simulation of neural networks using conventional von-Neumann computers prese...
Colloque avec actes et comité de lecture. internationale.International audienceThis paper presents p...
Big science initiatives are trying to reconstruct and model the brain by attempting to simulate brai...
The NEURON simulation environment has been extended to support parallel network simulations. Each pr...
Computational neuroscience aims to investigate and explain the behaviour and functions of neural str...
The ability to simulate brain neurons in real-time using biophysically-meaningful models is a critic...
Neuroscientists use computer simulations of neural systems in their efforts to understand processes...
Supercomputing is increasingly available in neuroscience and boosts the ability to create models wit...
Contains fulltext : 18657.pdf (publisher's version ) (Open Access)In this thesis, ...
In this paper we show a way to use high performance computing techniques in order to achieve a more ...
The simulation of large-scale biological spiking neural networks (SNN) is computationally onerous. I...
The simulation of brain areas (e.g. the visual cortex), comprising huge networks of integrate & ...
Obermayer K, Ritter H, Schulten K. Large-Scale Simulations of Self-organizing Neural Networks on Par...
Neuroscience is witnessing increasing knowledge about the anatomy and electrophysiological propertie...
The prototyping and the development of computational codes for biological models, in terms of reliab...
Exact modeling and fast simulation of neural networks using conventional von-Neumann computers prese...
Colloque avec actes et comité de lecture. internationale.International audienceThis paper presents p...
Big science initiatives are trying to reconstruct and model the brain by attempting to simulate brai...
The NEURON simulation environment has been extended to support parallel network simulations. Each pr...
Computational neuroscience aims to investigate and explain the behaviour and functions of neural str...
The ability to simulate brain neurons in real-time using biophysically-meaningful models is a critic...
Neuroscientists use computer simulations of neural systems in their efforts to understand processes...
Supercomputing is increasingly available in neuroscience and boosts the ability to create models wit...
Contains fulltext : 18657.pdf (publisher's version ) (Open Access)In this thesis, ...