AI for Neuroscience โ€” WalkSelf

AI for Neuroscience

Use AI to analyze complex brain activity data from fMRI and EEG, decode neural signals, and model the brain's structure and function.

85 courses

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Tetrode Array Neurophysiology: Experimental Methods and Data Analysis

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Neuroanatomy Foundations: A Beginner's Guide to Brain Structure

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Developmental Cognitive Neuroscience for Beginners

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AFNI Essentials: Analyzing fMRI and Anatomical Data

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Computational Modeling in Brain and Cognitive Sciences

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fMRI Data Analysis: Fundamentals of Neuroimaging

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Neuroscience Fundamentals: Understanding the Brain and Nervous System

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fMRI Essentials: Data Acquisition and Neuroimaging Analysis

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Neural Coding and Sound Perception: How the Brain Hears

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Computational Neuroscience Foundations with Neuroblox and Julia

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MEG Signal Analysis: Source Estimation and Decoding for Beginners

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Understanding the Human Brain: Cognitive Neuroscience and fMRI Basics

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Brains, Minds, and Machines: Foundations of Computational Intelligence

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Neuroscience and Society: Ethics, Law, and Modern Behavior

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Scientific Reproducibility: Tools for Robust Research

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How Neurons Compute: Introduction to Computational Neuroscience

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Demystifying Activation Functions in Neural Networks

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Neural Network Foundations: Mapping Signal Flow and Activations

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Foundations of Neural Networks: Biological Neurons to Activation Functions

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Visualizing Neural Network Insights: Interpret Deep Learning Models

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Understanding Multi-Head Attention in Transformer Models

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Sequential Data Modeling with LSTM Networks

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Neuroscience of Music: How the Brain Processes Sound and Harmony

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Foundations of Neuroscience: Understanding the Brain and Nervous System

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