Abstract: This paper introduces NeuroNet architecture, a lightweight deep-learning framework designed for brain tumor identification, integrating a spatial attention-driven convolutional neural ...

Abstract: The revolutionary potential of a deep learning framework for stroke analysis and prediction in the healthcare industry is examined in this paper. The suggested framework uses large datasets, ...

Development of spiking neural networks (SNNs) controlling mobile robots is one of the modern challenges in computational neuroscience and artificial intelligence. Such networks, being replicas of ...

Two-photon calcium imaging is a standard technique of neuroscience laboratories that records neural activity from individual neurons over large populations in awake-behaving animals. Automatic and ...

Companies are pushing schools to use their neuroscience-inspired programs, but scientists say there’s scant evidence to back their claims. As summer marches inexorably towards fall, Christine ...

During World War II, residents on the islands in the southern Pacific Ocean saw heavy activity by US planes, bringing in goods and supplies for the soldiers. In many cases, this was the islanders’ ...