The potential for these kinds of machines to reshape computer processing, increase energy efficiency, and revolutionize ...

Characterization of intracellular synapse heterogeneity aides to understand the intricate computational logic of neuronal circuits. Despite recent advances in connectomics, the spatial patterns of ...

Researchers have uncovered how primate brains transform flat, 2D visual inputs into rich, 3D mental representations of objects.

Understanding how the human brain represents the information picked up by the senses is a longstanding objective of ...

Yale researchers have discovered a process in the primate brain that sheds new light on how visual systems work and could lead to advances in both human neuroscience and artificial intelligence.

In her doctoral research at Columbia University, Ganguly creates models of the neuronal connections in the fruit fly brain ...

Remote sensing images semantic segmentation is typically challenging due to the complexity of land cover information. Existing convolutional neural network (CNN)-based models lack the capability to ...

New research reveals how early-life blurry, low-color vision may help shape the brain’s visual pathways into specialized systems.

As artificial intelligence (AI) rapidly grows—a recent UN Trade and Development report projects the global AI market soaring ...

Analyzing and reconstructing visual stimuli from brain signals effectively advances our understanding of the human visual system. However, EEG signals are complex and contain significant noise, ...