Neural networks, one of the key artificial intelligence technologies today, have the
computational power and learning ability similar to the brain. However, implementation of …

Cerebellum and Cerebrum in Homeostatic Control and Cognition presents a ground-
breaking hybrid-brain psychology, proposing that the cerebellum and cerebrum operate in a …

Vertebrate retinas are highly-efficient in processing trivial visual tasks such as detecting
moving objects, which still represent complex challenges for modern computers. In …

Spiking neural networks (SNNs) in neuromorphic systems are more energy efficient
compared to deep learning-based methods, but there is no clear competitive learning …

This innovative new textbook, co-authored by an established academic and a leading
practitioner, is the first to bring together issues of cloud computing, business intelligence and …

En la Ciudad de Arequipa después de los terremotos de 1958 y 1960, surge la Junta de
Rehabilitación y Desarrollo de Arequipa la cual impulsa la reconstrucción y crecimiento de …

Dogs display vast phenotypic diversity, including differences in height, skull shape, tail, etc.
Yet, humans are almost always able to quickly recognize a dog, despite no single feature or …

1 MENTAL RECOGNITION OF OBJECTS VIA RAMSEY SENTENCES Arturo Tozzi (corresponding
author) Center for Nonlinear Science, Departme Page 1 1 MENTAL RECOGNITION OF …

Abstract Artificial Neuron-Glia Networks (ANGN) are feed-forward multilayer artificial
networks that are composed of two types of information processing elements: one type that …

Spiking neural networks (SNNs) in neuromorphic systems are more energy efficient
compared to deep learning–based methods, but there is no clear competitive learning …