Apr 10, 2008 · The research reported here explores the feasibility of speeding up manual image analysis by tapping into split second perceptual judgments using.

Experimental results show that a combination of neurophysiological signals and overt physical responses--detected while a user views imagery in high speed ...

Apr 5, 2008 · Results show an approximately six-fold, statistically significant, reduction in the time required to detect targets at high accuracy levels ...

Probing potential neural codes in experiments with flashed images should thus provide new insights about the processing stream of visual signals. In ...

To bridge this gulf, we developed a high-throughput analysis pipeline and imaging protocol using tissue expansion and light sheet microscopy (ExLLSM) to rapidly ...

Each image in an RSVP task is classi- fied based on the neural response of the analyst. Images that are deemed most likely to contain targets are triaged for ...

Fast fMRI enables the detection of neural dynamics over timescales of hundreds of milliseconds, suggesting it may provide a new avenue for studying subsecond ...

Dec 11, 2019 · Learn about image recognition, Deep neural networks, how do they work, and explore some of the main use cases.

Oct 4, 2023 · This review provides an accessible and practical explanation of CNNs for clinicians and highlights their relevance in medical image analysis.

Oct 22, 2024 · In this paper, we apply AL to a simulated BCI system for target identification using data from a rapid serial visual presentation (RSVP) ...