Thanks to distributed computing techniques, it is possible today to routinely simulate local cortical networks of around 105 neurons with up to 109 synapses on ...

Jan 24, 2012 · Thanks to distributed computing techniques, it is possible today to routinely simulate local cortical networks of around 105 neurons with up to ...

Jan 24, 2012 · We develop a simple linear model to analyze the memory consumption of the constituent components of neuronal simulators as a function of network size and the ...

May 31, 2024 · We develop a simple linear model to analyze the memory consumption of the constituent components of a neuronal simulator as a function of ...

A simple linear model is developed to analyze the memory consumption of the constituent components of neuronal simulators as a function of network size and ...

Abstract: The development of high-performance simulation software is crucial for studying the brain connectome. Using connectome data to generate ...

Thanks to distributed computing techniques, it is possible today to routinely simulate local cortical networks of around 10^5 neurons with up to 10^9 synapses ...

Thanks to distributed computing techniques, it is possible today to routinely simulate local cortical networks of around 10^5 neurons with up to 10^9 synapses ...

Meeting the Memory Challenges of Brain-Scale Network Simulation. Authors. Susanne Kunkel · Tobias C. Potjans; +4 more

... Meeting the memory challenges of brain-scale network simulation. Front Neuroinform. 5:35 doi; Helias M, Kunkel S, Masumoto G, Igarashi J, Eppler JM, Ishii S ...