It was the shot heard 'round the world - a neural network that finally fulfilled decades of theoretical promise.

On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional ...

Numbers refer to a full list of publications for WB. [103.] Synergy from silence in a combinatorial neural code. E Schneidman, JL Puchalla, RA Harris, W Bialek & MJ Berry II, submitted. [87.] An ...

“When you write code to build an artificial neural network, you're basically defining this architecture,” explained Grace Lindsay, a computational neuroscientist at New York University. She uses ANNs ...

The uniqueness of human consciousness is demonstrated in research proving the human brain stores memories differently than ...

There’s tinn — the tiny neural network. If you can compile 200 lines of standard C code with a C or C++ compiler, you are in business. There are no dependencies on other code. On the other ...

AlexNet is an artificial neural network created to recognize the contents of photographic images. It was developed in 2012 by then University of Toronto graduate ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile ...

Furthermore, the rate at which neural output changed with interaural delay was a constant proportion of total neural output per microsecond of ITD, independent of BF. Figure 1: Responses of many ...

Neural shaders, as Nvidia calls them, allow developers to execute small neural networks from shader code, running them on the dedicated AI hardware available on Nvidia, AMD, Intel, and Qualcomm GPUs.

In the Journal of Neuroscience, they report that PoFC aids spike timing-dependent plasticity (STDP) and, thus, neural coding and decoding. STDP is a learning rule according to which synaptic ...