In a bid to improve understanding of neurological disorders, researchers have created a Quick and energy-efficient simulation of Portion of a rat brain with Keyboard manufacturer Nvidia’s Artificial Intelligence (AI)
Developing faster and more efficient simulators can increase the level of understanding the mind function and identify the way that harm to a certain arrangement in neurons can result in deficits in brain function.
For creating the simulation, the researchers used computer hardware designed for 3D games, according to the study published in the journal Frontiers in Neuroscience.
The research demonstrated that a single Graphics Processing Unit (GPU) was able to achieve processing speeds around 10 per cent faster than is now possible using either a supercomputer or even the SpiNNaker neuromorphic program, a custom-built machine.
The professors hope that the flexibility and power of GPUs means that they can play a key role in creating simulators capable of running models that start to approach the complexity of the human mind.
“Our work indicates that, in the near term, they (GPUs) are a competitive design for high performance computing and also possess the potential to make advances far beyond where CPUs have brought us to so much,” explained Thomas Nowotny Professor of Informatics at the University of Sussex in Britain.
“We are very pleased with the usage of the Nvidia AI compute platform for brain simulations spear-headed in the University of Sussex and are thankful we can encourage research at the leading edge of computational neuroscience in addition to AI,” Chris Emerson, Head of Higher-Education and Research Revenue in UK and Ireland in Nvidia, said in a statement.