Titlebook: Artificial Intelligence and Brain Research; Neural Networks, Dee Patrick Krauss Book 2024 The Editor(s) (if applicable) and The Author(s),

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Methods of Brain Researchuses X-rays to obtain detailed cross-sectional images and 3D reconstructions of the brain, but it does not provide information about the functional activity of the brain. Positron emission tomography (PET) uses a radiotracer (contrast agent) to visualize metabolic activity in the brain and create a

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Memoryry, language, social relationships, and personal identity could not develop. Understanding how memory functions as an information processing system is crucial to understanding the role that memory plays in our experience and behavior. Sensory memory plays an important role in our ability to perceive

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Languagee linguistic abilities that enable them to learn to speak. In contrast, usage-based approaches in Cognitive Linguistics assume a close connection between language structure and language use. These theories emphasize the importance of a child’s experience with language and reject the idea of innate l

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How Does Artificial Intelligence Learn?ights and converted into an output by an activation function, with the simplest artificial neuron, the perceptron, performing a binary classification through a threshold function. Artificial neural networks consist of interconnected artificial neurons that process input signals and forward output si

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Recurrent Neural Networksdynamic information processing in the brain through hierarchically nested feedback loops. Artificial recurrent neural networks (RNN) offer several advantages over pure feedforward architectures. They can process temporal dependencies and sequences, making them suitable for time series data, language