This is the code related to the paper titled "Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation" published in ICLR, 2020 ...

Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in ...

Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...

The ancient Greek philosopher and polymath Aristotle once concluded that the human heart is tri-chambered and that it was the ...

Prophesee’s camera provides a data stream, which includes a pixel location and color values when a change is detected, that’s ...

Harvard researchers have mapped and cataloged more than 70,000 synaptic connections from about 2,000 rat neurons, using a ...

Researchers have mapped and catalogued more than 70,000 synaptic connections from about 2,000 rat neurons, using a silicon chip capable of recording small yet telltale synaptic signals from a large ...

Many studies have used single-cell RNA sequencing (scRNA-seq) to infer gene regulatory networks (GRNs), which are crucial for ...

We sell different types of products and services to both investment professionals and individual investors. These products and services are usually sold through license agreements or subscriptions ...

The authors develop an analysis package for characterizing the activity of neural dendrites and soma ... suggestive of network-level computational mechanisms.

Defeating Wi-Fi dead zones is more important than ever. A mesh network system can help, and these are the best we've tested. I’ve been working with computers for ages, starting with a multi-year ...