Over the past decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...

Abstract: The morphology of neurons plays a crucial role in identifying their types and investigating the structure and function of the brain. While existing methods recognize neuron types through ...

Humans have the remarkable ability to remember the same person or object in completely different situations. We can easily distinguish between dinner with a friend and a business meeting with the same ...

Doidge (2010), referring to a study undertaken by Michael Merzenich et al. (1983), found that “[w]hen it came to allocating brain‑processing power,” the brain allocated “[its] neurological resources” ...

Abstract: In real-world industrial settings, mechanical fault classification systems often encounter unknown fault classes beyond the K classes used for training. To prevent misdiagnoses and costly ...

Scientists have built an artificial neuron that’s so realistic it fires, learns, and responds to chemical signals just like the real thing – a breakthrough that could transform computing, medicine, ...

In this manuscript, the authors describe a software package for automatic differentiation of action potentials generated by excitatory and inhibitory neurons, acquired using high-density ...

This paper provides a useful systematic quantification of the relationship between electrophysiological response properties of single neurons with their position in the brain. The quality of the ...

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The CL1 computer is the first in the world that combines human neurons with a silicon chip. It could be used in disease modeling and drug discovery before it expires after six months. When you ...