Networks

  • How to use neuroplasticity

    What is neuroplasticity?

    Neuroplasticity, also known as neural plasticity, is the brain’s ability to reorganize and adapt its structure and function in response to experience, learning, or injury. This dynamic process allows the brain to form new neural connections, strengthen existing ones, and sometimes even reorganize itself to compensate for lost or damaged functions. Key Aspects of Neuroplasticity: 1. Types of Neuroplasticity: Structural…

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  • Biological Neural Networks (BNNs)

    What is Biological Neural Networks (BNNs)?

    Biological Neural Networks (BNNs) refer to the complex systems of interconnected neurons found in the brains and nervous systems of living organisms. These networks process and transmit information through electrical and chemical signals, allowing organisms to perform functions such as thinking, learning, sensing, and responding to their environment. Key Features of Biological Neural Networks: 1. Neurons: Neurons are the basic…

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  • What is Artificial Neural Networks (ANNs)

    What is Artificial Neural Networks (ANNs)?

    An Artificial Neural Network (ANN) is a computational model that mimics the way biological neural networks (like the human brain) process information. ANNs are used in machine learning to recognize patterns, make decisions, and perform tasks that require “learning” from data. Key Features of ANNs: 1. Neurons (Nodes): Each unit (neuron) in an ANN takes input, processes it, and passes…

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  • What is Neural Network

    What is Neural Network?

    A neural network is a type of computational model inspired by the structure and functioning of the human brain. It is a core component of artificial intelligence (AI) and machine learning (ML), especially in a subset called deep learning. Key Concepts of Neural Networks: 1. Neurons (Nodes): Neural networks consist of interconnected units called neurons or nodes, which are analogous…

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