A major challenge in experimental data analysis is the validation of analytical methods in a fully controlled scenario where the justification of the interpretation can be made directly and not just by plausibility. In some sciences, this could be a mathematical proof, yet biological systems usually do not satisfy assumptions of mathematical theorems. One solution is to use simulations of realistic models to generate ground truth data. In neuroscience, creating such data requires plausible models of neural activity, access to high performance computers, expertise and time to prepare and run the simulations, and to process the output. To facilitate such validation tests of analytical methods we provide rich data sets including intracellular ...
The possibility to replicate and reproduce published research results is one of the biggest challeng...
The electroencephalogram (EEG) is a major tool for non-invasively studying brain function and dysfun...
The cerebral cortex is one of the most intricate natural systems known, due to the multitude and het...
A major challenge in experimental data analysis is the validation of analytical methods in a fully c...
The primary somatosensory cortex (S1) of mammals is critically important in the perception of touch ...
Multielectrodes provide a powerful tool for exploring neuronal networks, but interpreting the record...
A major goal of computational neuroscience is the creation of computer models for cortical areas who...
The three-dimensional (3D) structure of neural circuits represents an essential constraint for infor...
International audienceWe review here the development of Hodgkin-Huxley (HH) type models of cerebral ...
Many scientific systems are studied using computer codes that simulate the phenomena of interest. Co...
<p>Top, middle, and bottom panels show clustered states achieved with pulsing at 83, 94, and 120 Hz,...
Soma location, dendrite morphology and synaptic innervation are key determinants of neuronal functio...
The paper presents the comparison of simulated brains with real brains by means of statistical prope...
This zip file contains, separated into different folders, the data and metadata resulting from simul...
Simulations for two levels of thalamic noise (low noise in A, B, C; high noise in E, F, G), three im...
The possibility to replicate and reproduce published research results is one of the biggest challeng...
The electroencephalogram (EEG) is a major tool for non-invasively studying brain function and dysfun...
The cerebral cortex is one of the most intricate natural systems known, due to the multitude and het...
A major challenge in experimental data analysis is the validation of analytical methods in a fully c...
The primary somatosensory cortex (S1) of mammals is critically important in the perception of touch ...
Multielectrodes provide a powerful tool for exploring neuronal networks, but interpreting the record...
A major goal of computational neuroscience is the creation of computer models for cortical areas who...
The three-dimensional (3D) structure of neural circuits represents an essential constraint for infor...
International audienceWe review here the development of Hodgkin-Huxley (HH) type models of cerebral ...
Many scientific systems are studied using computer codes that simulate the phenomena of interest. Co...
<p>Top, middle, and bottom panels show clustered states achieved with pulsing at 83, 94, and 120 Hz,...
Soma location, dendrite morphology and synaptic innervation are key determinants of neuronal functio...
The paper presents the comparison of simulated brains with real brains by means of statistical prope...
This zip file contains, separated into different folders, the data and metadata resulting from simul...
Simulations for two levels of thalamic noise (low noise in A, B, C; high noise in E, F, G), three im...
The possibility to replicate and reproduce published research results is one of the biggest challeng...
The electroencephalogram (EEG) is a major tool for non-invasively studying brain function and dysfun...
The cerebral cortex is one of the most intricate natural systems known, due to the multitude and het...