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  2. Mind uploading - Wikipedia

    en.wikipedia.org/wiki/Mind_uploading

    Many neuroscientists believe that the human mind is largely an emergent property of the information processing of its neuronal network. [9]Neuroscientists have stated that important functions performed by the mind, such as learning, memory, and consciousness, are due to purely physical and electrochemical processes in the brain and are governed by applicable laws.

  3. Nervous system network models - Wikipedia

    en.wikipedia.org/wiki/Nervous_system_network_models

    Network models can be classified as either network of neurons propagating through different levels of cortex or neuron populations interconnected as multilevel neurons. The spatial positioning of neuron could be 1-, 2- or 3-dimensional; the latter ones are called small-world networks as they are related to local region. The neuron could be ...

  4. Neuroevolution of augmenting topologies - Wikipedia

    en.wikipedia.org/wiki/Neuroevolution_of...

    The NEAT approach begins with a perceptron-like feed-forward network of only input neurons and output neurons. As evolution progresses through discrete steps, the complexity of the network's topology may grow, either by inserting a new neuron into a connection path, or by creating a new connection between (formerly unconnected) neurons.

  5. Neural network (biology) - Wikipedia

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

    A biological neural network is composed of a group of chemically connected or functionally associated neurons. [2] A single neuron may be connected to many other neurons and the total number of neurons and connections in a network may be extensive.

  6. Connectionism - Wikipedia

    en.wikipedia.org/wiki/Connectionism

    The central connectionist principle is that mental phenomena can be described by interconnected networks of simple and often uniform units. The form of the connections and the units can vary from model to model. For example, units in the network could represent neurons and the connections could represent synapses, as in the human brain.

  7. Artificial neuron - Wikipedia

    en.wikipedia.org/wiki/Artificial_neuron

    Each output can be the input to an arbitrary number of neurons, including itself (i.e., self-loops are possible). However, an output cannot connect more than once with a single neuron. Self-loops do not cause contradictions, since the network operates in synchronous discrete time-steps.

  8. Cultured neuronal network - Wikipedia

    en.wikipedia.org/wiki/Cultured_neuronal_network

    A cultured neuronal network is a cell culture of neurons that is used as a model to study the central nervous system, especially the brain.Often, cultured neuronal networks are connected to an input/output device such as a multi-electrode array (MEA), thus allowing two-way communication between the researcher and the network.

  9. Modern Hopfield network - Wikipedia

    en.wikipedia.org/wiki/Modern_Hopfield_Network

    The update rule for individual neurons (in the asynchronous case) can be written in the following form (+) = ⁡ [= ((+ ()) (+ ()))] which states that in order to calculate the updated state of the -th neuron the network compares two energies: the energy of the network with the -th neuron in the ON state and the energy of the network with the ...

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    what is the neural networkbiological neural networks