brain models computer vision deep learning life sciences machine learning neuroimaging neuroscience
Neural Encoding Simulation Toolkit (NEST) is a resource consisting of multiple pre-trained encoding models of the brain and an accompanying Python package to generate accurate in silico neural responses to arbitrary stimuli with just a few lines of code.
Updates will be released on a per-model or dataset basis as new models are trained and tested.
CC BY-NC 4.0. For Terms & Conditions, see https://neural-encoding-simulation-toolkit.readthedocs.io/en/latest/about/terms_and_conditions.html
https://neural-encoding-simulation-toolkit.readthedocs.io/en/latest/index.html
Neural Dynamics of Visual Cognition, CVAI
See all datasets managed by Neural Dynamics of Visual Cognition](https://www.ewi-psy.fu-berlin.de/en/psychologie/arbeitsbereiche/neural_dyn_of_vis_cog/index.html), [CVAI.
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