As AI processing demands reach the limits of current CMOS technology, neuromorphic computing—hardware and software that mimic the human brain's structure—can help process information faster and more ...

📖 Start here: 5-minute introduction page — hero, install, five runnable snippets covering simulation → fitting → KS goodness-of-fit → decoding → SSGLM, plus a paper-example thumbnail gallery and v1.4 ...

Chainalysis identified hundreds of millions of dollars in crypto flows tied to trafficking operations. Many trafficking networks operate from Southeast Asia alongside scam compounds and laundering ...

Brain-computer interfaces (BCIs) leverage EEG signal processing to enable human-machine communication and have broad application potential. However, existing deep learning-based BCI methods face two ...

The brain criticality hypothesis has been a central research topic in theoretical neuroscience for two decades. This hypothesis suggests that the brain operates near the critical point at the boundary ...

Abstract: In this paper, the hyperbolic tangent function and its application in a test neural network on a Field Programmable Gate Array are presented, using the Verilog hardware description language.

Real-world application sized Neural Network. Implemented back-propagation algorithm with momentum, auto-encoder network, dropout during learning, least mean squares algorithm. Machine learning ...