This is the 4th edition of the online, freely available textbook, providing a complete, self-contained introduction to the field of Computational Cognitive Neuroscience, where computer models of the brain are used to understand a wide range of cognitive functions, including perception, attention, motor control, learning, memory, language, and executive function.
Neural network simulation software written in Go and Python, for developing biologically-based but also computationally functional neural models. Features an interactive 3D interface for visualizing networks and data, and has many implemented models of a wide range of cognitive phenomena.
Uncertainpy is a python toolbox for uncertainty quantification and sensitivity analysis tailored towards computational neuroscience.
Uncertainpy is model independent and treats the model as a black box where the model can be left unchanged.
PsychRNN is designed for neuroscientists and psychologists who are interested in RNNs as models of cognitive function in the brain.
Despite growing interest in RNNs as models of brain function, this approach poses relatively high barriers to entry to researchers, due to the technical know-how required for specialized deep learning software (e.
Neurostars is an open source question and answer site that serves the INCF network and the global neuroscience community as a forum for knowledge exchange between neuroscience researchers at all levels of expertise, software developers, and infrastructure providers.
TrainingSpace is an online hub that aims to make neuroscience educational materials more accessible to the global neuroscience community developed by the Training and Education Committee composed of members from the INCF network, HBP, SfN, FENS, IBRO, IEEE, BD2K, and iNeuro Initiative.
Open Source Brain, a platform for sharing, viewing, analyzing, and simulating standardized models from different brain regions and species.
Model structure and parameters can be automatically visualized and their dynamical properties explored through browser-based simulations.
MorphoPy is an open software package written in Python3 that allows for visualization and processing of morphological reconstructions of neural data. It has been created to facilitate the translation from morphology graphs into descriptive features like density maps, morphometric statistics, and persistence diagrams for down-stream exploration and statistical analysis.
DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
NeuroFedora is an initiative to provide a ready to use Fedora Linux based Free/Open source software platform for neuroscience. We believe that similar to Free software, science should be free for all to use, share, modify, and study.