Abstract: Hardware design of deep convolutional neural networks (CNNs) faces challenges of high computational complexity and data bandwidth as well as huge divergence in different CNN network layers, ...

NESTML addresses these requirements by providing a domain-specific language for describing neuron and synapse models that covers a wide ... an essential technique for gaining insight into how neural ...

fabrication procedure for a buckled transparent electrode, patterning procedures, SEM images for the line patterns fabricated by tape attachment and detachment, FESEM images of the AgNW networks, Cu ...

1 Department of Mathematics, Franklin and Marshall College, Lancaster, PA, United States 2 Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, United States A ...

We use this handy neural mechanism to learn, remember, solve problems and generally navigate our reality. "It's a network effect," said UC Santa Barbara mechanical engineering professor Francesco ...

We use this handy neural mechanism to learn, remember, solve problems and generally navigate our reality. “It’s a network effect,” said UC Santa Barbara mechanical engineering professor Francesco ...

“As far as I know, no one else has ever been able to ablate [knock out] specific synapses without affecting the whole neuron,” he said. The ability to selectively dismantle parts of a neural network — ...

Department of Computer Science, Vanderbilt University, 2201 West End Ave, Nashville, Tennessee 37235, United States ...