Add to ORKGIn order to optimize the solving of stochastic simulations of neuron channels, an attempt to parallelize the solver has been made. The result of the implementation was unsuccessful. However, the implementation is not impossible and is still a field of research with big potential for improving performance of stochastic simulations
Parallelism and distribution have been considered the key features of neural processing. The term pa...
To understand how the central nervous system performs computations using recurrent neuronal circuitr...
Event-based models find frequent usage in fields such as computational physics and biology as they m...
In order to optimize the solving of stochastic simulations of neuron channels, an attempt to paralle...
The NEURON simulation environment has been extended to support parallel network simulations. Each pr...
[[abstract]]Neuronal variability has been thought to play an important role in the brain. As the var...
This paper discusses the parallelization of Stochastic Evolution (StocE) metaheuristic, for a distri...
The simulation of brain areas (e.g. the visual cortex), comprising huge networks of integrate & ...
In this paper a FPGA implementation of a novel neural stochastic model for solving constrained NP-ha...
In recent years deep brain stimulation (DBS) has seen success in curing adverseeffects of several di...
The paper discusses the parallelization of Stochastic Evolution metaheuristic, identifying effective...
The main purpose of this work was to develop a more time efficient solution to the Lotka- Volterra m...
Experimental and theoretical studies have shown the importance of stochastic processes in genetic re...
Experimental and theoretical studies have shown the importance of stochastic processes in genetic re...
Les neurosciences computationnelles ont permis de développer des outils mathématiques et informatiqu...
Parallelism and distribution have been considered the key features of neural processing. The term pa...
To understand how the central nervous system performs computations using recurrent neuronal circuitr...
Event-based models find frequent usage in fields such as computational physics and biology as they m...
In order to optimize the solving of stochastic simulations of neuron channels, an attempt to paralle...
The NEURON simulation environment has been extended to support parallel network simulations. Each pr...
[[abstract]]Neuronal variability has been thought to play an important role in the brain. As the var...
This paper discusses the parallelization of Stochastic Evolution (StocE) metaheuristic, for a distri...
The simulation of brain areas (e.g. the visual cortex), comprising huge networks of integrate & ...
In this paper a FPGA implementation of a novel neural stochastic model for solving constrained NP-ha...
In recent years deep brain stimulation (DBS) has seen success in curing adverseeffects of several di...
The paper discusses the parallelization of Stochastic Evolution metaheuristic, identifying effective...
The main purpose of this work was to develop a more time efficient solution to the Lotka- Volterra m...
Experimental and theoretical studies have shown the importance of stochastic processes in genetic re...
Experimental and theoretical studies have shown the importance of stochastic processes in genetic re...
Les neurosciences computationnelles ont permis de développer des outils mathématiques et informatiqu...
Parallelism and distribution have been considered the key features of neural processing. The term pa...
To understand how the central nervous system performs computations using recurrent neuronal circuitr...
Event-based models find frequent usage in fields such as computational physics and biology as they m...