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Presentation . 2023
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Presentation . 2023
License: CC BY
Data sources: Datacite
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Introduction to the HBM NeuroAI course 2023: artificial neural networks as models of the brain in cognitive neuroscience

Authors: Pierre Bellec; Isil Bilgin;

Introduction to the HBM NeuroAI course 2023: artificial neural networks as models of the brain in cognitive neuroscience

Abstract

This is a short introduction to a one-day course on neuroAI models for cognitive neuroscience. A detailed description of the course can be found on the following website: https://neuroai-educational.github.io The topics covered in the course are as follows: Technical construction of the brain models: An introduction of fundamental concepts applicability of AI in the neuroscience research; Brain decoding and encoding: Identifying cognitive states based on brain activity (brain decoding); and predicting brain activity based on the activity of an artificial neural network (brain encoding); Multimodal overview of NeuroAI: Implementation of AI in various sensory modality processing including vision, auditory, language. Ethics and future of NeuroAI: Ethical concerns and potential future directions in the field.

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Keywords

neuroimaging, brain models, AI, brain encoding, brain decoding

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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