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  2. Neural network (biology) - Wikipedia

    en.wikipedia.org/wiki/Neural_network_(biology)

    A neural network, also called a neuronal network, is an interconnected population of neurons (typically containing multiple neural circuits). [1] Biological neural networks are studied to understand the organization and functioning of nervous systems. Closely related are artificial neural networks, machine learning models inspired by biological ...

  3. Biological network - Wikipedia

    en.wikipedia.org/wiki/Biological_network

    A biological network is a method of representing systems as complex sets of binary interactions or relations between various biological entities. [1] In general, networks or graphs are used to capture relationships between entities or objects. [1] A typical graphing representation consists of a set of nodes connected by edges.

  4. Biological neuron model - Wikipedia

    en.wikipedia.org/wiki/Biological_neuron_model

    Biological neuron models, also known as spiking neuron models, [1] are mathematical descriptions of the conduction of electrical signals in neurons. Neurons (or nerve cells) are electrically excitable cells within the nervous system, able to fire electric signals, called action potentials, across a neural network.

  5. Neural network - Wikipedia

    en.wikipedia.org/wiki/Neural_network

    A neural network is a group of interconnected units called neurons that send signals to one another. Neurons can be either biological cells or mathematical models. While individual neurons are simple, many of them together in a network can perform complex tasks. There are two main types of neural network.

  6. Network neuroscience - Wikipedia

    en.wikipedia.org/wiki/Network_neuroscience

    Network neuroscience is an approach to understanding the structure and function of the human brain through an approach of network science, through the paradigm of graph theory. [1] A network is a connection of many brain regions that interact with each other to give rise to a particular function. [2]

  7. Machine learning in bioinformatics - Wikipedia

    en.wikipedia.org/wiki/Machine_learning_in...

    Neural networks, such as recurrent neural networks (RNN), convolutional neural networks (CNN), and Hopfield neural networks have been added. [46] For example, in 2018, Fioravanti et al. developed an algorithm called Ph-CNN to classify data samples from healthy patients and patients with IBD symptoms (to distinguish healthy and sick patients) by ...

  8. Systems neuroscience - Wikipedia

    en.wikipedia.org/wiki/Systems_neuroscience

    Systems neuroscience encompasses a number of areas of study concerned with how nerve cells behave when connected together to form neural pathways, neural circuits, and larger brain networks. At this level of analysis, neuroscientists study how different neural circuits work together to analyze sensory information, form perceptions of the ...

  9. Nervous system network models - Wikipedia

    en.wikipedia.org/wiki/Nervous_system_network_models

    The concept of artificial neural network (ANN) was introduced by McCulloch, W. S. & Pitts, W. (1943) [16] for models based on behavior of biological neurons. Norbert Wiener (1961) [ 17 ] gave this new field the popular name of cybernetics , whose principle is the interdisciplinary relationship among engineering, biology, control systems, brain ...