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However, the student version is not available for Southeast Asian countries such as Singapore, Malaysia, Thailand, Philippines and Laos. There is an origin file viewer to see data and charts made with origin. The actual software is Version 9.6.5. This software can convert newer OPJU files to older OPJ files for older versions of Origin. [3]
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 ...
The NEURON software, developed at Duke University, is a simulation environment for modeling individual neurons and networks of neurons. [25] The NEURON environment is a self-contained environment allowing interface through its GUI or via scripting with hoc or python. The NEURON simulation engine is based on a Hodgkin–Huxley type model using a ...
The original PDP software was developed into a more powerful package called PDP++, which in turn has become an even more powerful platform called Emergent. With each development, the software has become more powerful, but also more daunting for use by beginners. In 1997, the tLearn software was released to accompany a book. [4]
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NEST is a simulation software for spiking neural network models, including large-scale neuronal networks. NEST was initially developed by Markus Diesmann and Marc-Oliver Gewaltig and is now developed and maintained by the NEST Initiative.
Neuron Data is an American software development company that was founded June 1985 by Alain Rappaport, Patrick Perez and Jean-Marie Chauvet. Their first product, Nexpert , was a C -based, goal-oriented backward chaining and data-driven forward chaining expert system shell for the Macintosh in 1985. [ 1 ]
As early as 2006, researchers at Georgia Tech published a field programmable neural array. [13] This chip was the first in a line of increasingly complex arrays of floating gate transistors that allowed programmability of charge on the gates of MOSFETs to model the channel-ion characteristics of neurons in the brain and was one of the first cases of a silicon programmable array of neurons.