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  2. Neural network - Wikipedia

    en.wikipedia.org/wiki/Neural_network

    While individual neurons are simple, many of them together in a network can perform complex tasks. There are two main types of neural network. In neuroscience , a biological neural network is a physical structure found in brains and complex nervous systems – a population of nerve cells connected by synapses .

  3. Neural network (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Neural_network_(machine...

    The neurons are typically organized into multiple layers, especially in deep learning. Neurons of one layer connect only to neurons of the immediately preceding and immediately following layers. The layer that receives external data is the input layer. The layer that produces the ultimate result is the output layer.

  4. Types of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/Types_of_artificial_neural...

    Some artificial neural networks are adaptive systems and are used for example to model populations and environments, which constantly change. Neural networks can be hardware- (neurons are represented by physical components) or software-based (computer models), and can use a variety of topologies and learning algorithms.

  5. Wetware computer - Wikipedia

    en.wikipedia.org/wiki/Wetware_computer

    A wetware computer is an organic computer (which can also be known as an artificial organic brain or a neurocomputer) composed of organic material "wetware" such as "living" neurons. [1] Wetware computers composed of neurons are different than conventional computers because they use biological materials, and offer the possibility of ...

  6. Artificial neuron - Wikipedia

    en.wikipedia.org/wiki/Artificial_neuron

    It thus makes the network more easily manipulable mathematically, and was attractive to early computer scientists who needed to minimize the computational load of their simulations. It was previously commonly seen in multilayer perceptrons. However, recent work has shown sigmoid neurons to be less effective than rectified linear neurons.

  7. The future of neuroscience could be wireless - AOL

    www.aol.com/news/future-neuroscience-could...

    The transmitter then sends the information to a computer system to be analyzed. ... The device uses a technique called optogenetic stimulation to activate or inhibit certain neurons in mice and ...

  8. Computational neuroscience - Wikipedia

    en.wikipedia.org/wiki/Computational_neuroscience

    Computational neuroscience (also known as theoretical neuroscience or mathematical neuroscience) is a branch of neuroscience which employs mathematics, computer science, theoretical analysis and abstractions of the brain to understand the principles that govern the development, structure, physiology and cognitive abilities of the nervous system.

  9. Neural computation - Wikipedia

    en.wikipedia.org/wiki/Neural_computation

    The types of information processed by a computing system determine which type of computations it performs. Traditionally, in cognitive science there have been two proposed types of computation related to neural activity - digital and analog, with the vast majority of theoretical work incorporating a digital understanding of cognition. Computing ...