The ultimate goal is to understand how the information in the distributed neural circuits of the brain reorganizes and plastically adapts to laboratory disruptions designed to reversibly …
Real-time simulation of a large-scale biologically representative spiking neural network is presented, through the use of a heterogeneous parallelization scheme and SpiNNaker …
ML Hines, NT Carnevale - Neural computation, 2000 - ieeexplore.ieee.org
Neuronal function involves the interaction of electrical and chemical signals that are distributed in time and space. The mechanisms that generate these signals and regulate …
The gap between brains and computers regarding both their cognitive capability and power efficiency is remarkably huge. Brains process information massively in parallel and its …
T Carnevale - Scholarpedia, 2007 - scholarpedia.org
The NEURON Simulation Environment (aka NEURON--see http://www. neuron. yale. edu/) is designed for modeling individual neurons and networks of neurons, and is widely used by …
JW Moore - Frontiers in Computational Neuroscience, 2010 - frontiersin.org
In the half-century since the seminal Hodgkin-Huxley papers were published, computational neuroscience has become an established discipline, evolving from computer modeling of …
R Granger - arXiv preprint arXiv:1704.03855, 2017 - arxiv.org
'If I cannot build it, I do not understand it.'So said Nobel laureate Richard Feynman, and by his metric, we understand a bit about physics, less about chemistry, and almost nothing …
Marching along the DARPA SyNAPSE roadmap, IBM unveils a trilogy of innovations towards the TrueNorth cognitive computing system inspired by the brain's function and efficiency …
The brain is not a glorified digital computer. It does not store information in registers, and it does not mathematically transform mental representations to establish perception or …