Decoding Face Exemplars from fMRI Responses: What Works, What Doesn't?

J Neurosci

MRC Cognition and Brain Sciences Unit, Cambridge CB2 7EF, United Kingdom

Published: June 2015


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4478246PMC
http://dx.doi.org/10.1523/JNEUROSCI.1385-15.2015DOI Listing

Publication Analysis

Top Keywords

decoding face
4
face exemplars
4
exemplars fmri
4
fmri responses
4
responses works
4
works doesn't?
4
decoding
1
exemplars
1
fmri
1
responses
1

Similar Publications

Background: Underwater environments face challenges with image degradation due to light absorption and scattering, resulting in blurring, reduced contrast, and color distortion. This significantly impacts underwater exploration and environmental monitoring, necessitating advanced algorithms for effective enhancement.

Objectives: The study aims to develop an innovative underwater image enhancement algorithm that integrates physical models with deep learning to improve visual quality and surpass existing methods in performance metrics.

View Article and Find Full Text PDF

Visual search relies on the ability to use information about the target in working memory to guide attention and make target-match decisions. The 'attentional' or 'target' template is thought to be encoded within an inferior frontal junction (IFJ)-visual attentional network. While this template typically contains veridical target features, behavioral studies have shown that target-associated information, such as statistically co-occurring object pairs, can also guide attention.

View Article and Find Full Text PDF

DNA data storage is a promising alternative to conventional storage due to high density, low energy consumption, durability, and ease of replication. While information can be encoded into DNA via synthesis, high costs and the lack of rewriting capability limit its applications beyond archival storage. Emerging "hard drive" strategies seek to encode data onto universal DNA templates without de novo synthesis, using methods such as DNA nanostructures and base modifications.

View Article and Find Full Text PDF

The neonatal intensive care unit (NICU) is a critical care setting where premature infants face continuous exposure to elevated noise levels, often exceeding international safety guidelines. While the risks of excessive acoustic exposure are well established, strategies for real-time noise monitoring and mitigation in operational NICUs remain underexplored. In this study, we propose an exploratory framework that integrates spatially distributed sound sensors, acoustic heatmap visualization, and machine learning-based classification to analyze and categorize noise events in a high-density NICU setting.

View Article and Find Full Text PDF

Our knowledge of the brain processes that govern vision is largely derived from studying primates, whose hierarchically organized visual system inspired the architecture of deep neural networks. This raises questions about the universality of such hierarchical structures. Here we examined the large-scale functional organization for vision in one of the closest living relatives to primates, the tree shrew.

View Article and Find Full Text PDF