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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 ...
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 .
It is hypothesized that the elementary biological unit is an active cell, called neuron, and the human machine is run by a vast network that connects these neurons, called neural (or neuronal) network. [5] The neural network is integrated with the human organs to form the human machine comprising the nervous system. [citation needed]
A neuron, neurone, [1] or nerve cell is an excitable cell that fires electric signals called action potentials across a neural network in the nervous system.They are located in the brain and spinal cord and help to receive and conduct impulses.
Simple artificial neurons, such as the McCulloch–Pitts model, are sometimes described as "caricature models", since they are intended to reflect one or more neurophysiological observations, but without regard to realism. [3] Artificial neurons can also refer to artificial cells in neuromorphic engineering that are similar to natural physical ...
Anatomy of a multipolar neuron. 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.
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.
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.