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  2. Computational neuroscience - Wikipedia

    en.wikipedia.org/wiki/Computational_neuroscience

    Computational neuroscience (also known as theoretical neuroscience or mathematical neuroscience) is a branch of neuroscience which employs mathematics, computer science, theoretical analysis and abstractions of the brain to understand the principles that govern the development, structure, physiology and cognitive abilities of the nervous system.

  3. Human-based computation game - Wikipedia

    en.wikipedia.org/wiki/Human-based_computation_game

    Three of Artigo's games, the ARTigo game, ARTigo Taboo, and TagATag, are variations [12] of Luis von Ahn's ESP game (later Google Image Labeler). Three other games of the Artigo platform, Karido , [ 13 ] Artigo-Quiz , and Combino , have been conceived so as to complement the data collected by the three aforementioned ESP game variations.

  4. Machine learning in video games - Wikipedia

    en.wikipedia.org/.../Machine_learning_in_video_games

    The 2014 research paper on "Variational Recurrent Auto-Encoders" attempted to generate music based on songs from 8 different video games. This project is one of the few conducted purely on video game music. The neural network in the project was able to generate data that was very similar to the data of the games it trained off of. [35]

  5. Brain simulation - Wikipedia

    en.wikipedia.org/wiki/Brain_simulation

    In the field of computational neuroscience, brain simulation is the concept of creating a functioning computer model of a brain or part of a brain. [1] Brain simulation projects intend to contribute to a complete understanding of the brain, and eventually also assist the process of treating and diagnosing brain diseases .

  6. Network neuroscience - Wikipedia

    en.wikipedia.org/wiki/Network_neuroscience

    By analyzing different metrics from these connection matrices from the network, one can obtain a topological analysis of the desired graph; and this is referred to as the human brain network in the field of neuroscience. [12] One of the core architectures in brain network models is the "small-world" architecture.

  7. Large-scale brain network - Wikipedia

    en.wikipedia.org/wiki/Large-scale_brain_network

    As a physical system with graph-like properties, [6] a large-scale brain network has both nodes and edges and cannot be identified simply by the co-activation of brain areas. In recent decades, the analysis of brain networks was made feasible by advances in imaging techniques as well as new tools from graph theory and dynamical systems.

  8. Neuromorphic computing - Wikipedia

    en.wikipedia.org/wiki/Neuromorphic_computing

    As early as 2006, researchers at Georgia Tech published a field programmable neural array. [15] This chip was the first in a line of increasingly complex arrays of floating gate transistors that allowed programmability of charge on the gates of MOSFETs to model the channel-ion characteristics of neurons in the brain and was one of the first cases of a silicon programmable array of neurons.

  9. List of neuroimaging software - Wikipedia

    en.wikipedia.org/wiki/List_of_neuroimaging_software

    Neuroimaging software is used to study the structure and function of the brain. To see an NIH Blueprint for Neuroscience Research funded clearinghouse of many of these software applications, as well as hardware, etc. go to the NITRC web site. 3D Slicer Extensible, free open source multi-purpose software for visualization and analysis.

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