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The general design is aimed at maximising flexibility, simplicity and users' development time. [2] Users specify neuron models by giving their differential equations in standard mathematical form as strings, create groups of neurons and connect them via synapses. This is in contrast to the approach taken by many neural simulators in which users ...
Neuron is a simulation environment for modeling individual and networks of neurons. It was primarily developed by Michael Hines, John W. Moore , and Ted Carnevale at Yale and Duke . Neuron models individual neurons via the use of sections that are automatically subdivided into individual compartments, instead of requiring the user to manually ...
PyNN is a simulator independent language for neural simulations, which supports NEST as well as BRIAN, NEURON, as well as neuromorphic hardware. NEST also maintains its own simulation language interpreter (SLI), which understands a simple Stack-oriented programming language that is influenced by PostScript. [citation needed]
Makeblock Neuron is a programmable platform of more than 30 electronic building blocks. This product is targeted towards children and has color-coded blocks aimed at easier understanding. Each of the blocks has various built-in features and can interact with each other. The kit also has IoT capability. [18]
Neuromorphic engineering is an interdisciplinary subject that takes inspiration from biology, physics, mathematics, computer science, and electronic engineering [4] to design artificial neural systems, such as vision systems, head-eye systems, auditory processors, and autonomous robots, whose physical architecture and design principles are ...
In the field of computational neuroscience, brain simulation is the concept of creating a functioning computer model of a brain or part of a brain. [1] Brain simulation projects intend to contribute to a complete understanding of the brain, and eventually also assist the process of treating and diagnosing brain diseases.
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