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  2. Mathematics of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/Mathematics_of_artificial...

    A widely used type of composition is the nonlinear weighted sum, where () = (()), where (commonly referred to as the activation function [3]) is some predefined function, such as the hyperbolic tangent, sigmoid function, softmax function, or rectifier function. The important characteristic of the activation function is that it provides a smooth ...

  3. Neuron - Wikipedia

    en.wikipedia.org/wiki/Neuron

    They are found mainly in the olfactory epithelium, and as part of the retina. Multipolar: 1 axon and 2 or more dendrites Golgi I: neurons with long-projecting axonal processes; examples are pyramidal cells, Purkinje cells, and anterior horn cells; Golgi II: neurons whose axonal process projects locally; the best example is the granule cell

  4. Artificial neuron - Wikipedia

    en.wikipedia.org/wiki/Artificial_neuron

    Artificial neurons are designed to mimic aspects of their biological counterparts. However a significant performance gap exists between biological and artificial neural networks. In particular single biological neurons in the human brain with oscillating activation function capable of learning the XOR function have been discovered. [6]

  5. Outline of neuroscience - Wikipedia

    en.wikipedia.org/wiki/Outline_of_neuroscience

    [1] [2] It encompasses the branch of biology [3] that deals with the anatomy, biochemistry, molecular biology, and physiology of neurons and neural circuits. It also encompasses cognition, and human behavior. [2] Neuroscience has multiple concepts that each relate to learning abilities and memory functions.

  6. Brain - Wikipedia

    en.wikipedia.org/wiki/Brain

    Once neurons have positioned themselves, their axons sprout and navigate through the brain, branching and extending as they go, until the tips reach their targets and form synaptic connections. In a number of parts of the nervous system, neurons and synapses are produced in excessive numbers during the early stages, and then the unneeded ones ...

  7. Biological neuron model - Wikipedia

    en.wikipedia.org/wiki/Biological_neuron_model

    with r 2 = x 2 + y 2 + z 2, and r ≈ 10 −2 so that the z variable only changes very slowly. This extra mathematical complexity allows a great variety of dynamic behaviors for the membrane potential, described by the x variable of the model, which includes chaotic dynamics. This makes the Hindmarsh–Rose neuron model very useful, because it ...

  8. Neural circuit - Wikipedia

    en.wikipedia.org/wiki/Neural_circuit

    A neural circuit is a population of neurons interconnected by synapses to carry out a specific function when activated. [1] Multiple neural circuits interconnect with one another to form large scale brain networks. [2] Neural circuits have inspired the design of artificial neural networks, though there are significant differences.

  9. Saxon math - Wikipedia

    en.wikipedia.org/wiki/Saxon_math

    The Saxon Math 1 to Algebra 1/2 (the equivalent of a Pre-Algebra book) curriculum [3] is designed so that students complete assorted mental math problems, learn a new mathematical concept, practice problems relating to that lesson, and solve a variety of problems. Daily practice problems include relevant questions from the current day's lesson ...

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