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Editorial: Quantifying and optimizing elite performance through cognitive neuroscience
Lead StoryFrontiersscience
May 26

Editorial: Quantifying and optimizing elite performance through cognitive neuroscience

<a href="https://news.google.com/rss/articles/CBMipAFBVV95cUxPODlRbmpSZGxrdUs4WGMyRWVTendmam05NFBVcFFud2tKSmoxQy1hUHMwTmxQNVhMbUt4XzJvX3R1ZkY3T0FiZERJWkFuU3c5U3l6WVRnVXk0aEFzcUpZaGlBb2hFMFFjcUtvaUhHdVZ5eF9rRmhiVEpkdXZKS0p4amVtRGFfV3ZjakwzTTdkWWIwbjdtUnZwbGZJUFRFbWZqaGhPaQ?oc=5" target="_blank">Editorial: Quantifying and optimizing elite performance through cognitive neuroscience</a>  <font color="#6f6f6f">Frontiers</font>

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Search Results for "Quantifying attention in"

Updated every 3 minutes via FreeNewsApi, GNews, Currents API & Google News

29 stories displayed
Mobile DooH: Measuring Attention at the World Cup
Sixteen:Nineworld

Mobile DooH: Measuring Attention at the World Cup

<a href="https://news.google.com/rss/articles/CBMiigFBVV95cUxNaEF3amZZSVVYWXVMb3JFaFdJTGtnZHcxTFZrZ2hwa1BFcmZxSERqclpubVlqNVNCMzJabTNHV2RtNVJnWGNQaFlnN2V1QzI5cG9mbHNRTlAwRnhXbzlMb1NNdzR4Z0QxWmY1aU5JcC1kcklHa002amhYOWNJclhBNWx1RkNJTVJYY3c?oc=5" target="_blank">Mobile DooH: Measuring Attention at the World Cup</a>  <font color="#6f6f6f">Sixteen:Nine</font>

Quantifying regional contributions to sex classification from fundus photographs via a two-stage attention-based deep learning approach
Natureworld

Quantifying regional contributions to sex classification from fundus photographs via a two-stage attention-based deep learning approach

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE44UURrNG5KSDlaSFpqTVh4NjJqVDlzVHRDN0p1OXEwMkYxSkpvUld6T1hVV3FBWFlSd184emRVc1UwNDg4MmdZeDZRR21YdjBWbXl2UW9VSGY3LVM1STNB?oc=5" target="_blank">Quantifying regional contributions to sex classification from fundus photographs via a two-stage attention-based deep learning approach</a>  <font color="#6f6f6f">Nature</font>

Mind the Gap: Quantifying and Aligning Human-AI Visual Attention for Accident Anticipation
The Association for the Advancement of Artificial Intelligencetech

Mind the Gap: Quantifying and Aligning Human-AI Visual Attention for Accident Anticipation

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5KMG1LNW9fTXFNTk41TEpGOWtBZDVzVERyb0VWWWZBSGdycU02Q0pvNWxLRjJlNVBITG9KWXlOazA0cDFOdlZncjBmRlV2bHE4NFFjNnhadkVBaUVGV29NajJSdUY?oc=5" target="_blank">Mind the Gap: Quantifying and Aligning Human-AI Visual Attention for Accident Anticipation</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

Attention Measurement: The Industry Framework for Measuring Attention
Interactive Advertising Bureaugeneral

Attention Measurement: The Industry Framework for Measuring Attention

<a href="https://news.google.com/rss/articles/CBMiU0FVX3lxTE9RLTg4YVV3Qk9YZ3VsUk5zaUN3VkJzVlNUMk1sNzZGT1FYNUFldHpDMEJLYmhVR1BRclE5d21MM0NXY2FqeGJXYWVmRnNsSk1XRUU0?oc=5" target="_blank">Attention Measurement: The Industry Framework for Measuring Attention</a>  <font color="#6f6f6f">Interactive Advertising Bureau</font>

FAQ on attention metrics: How advertisers can turn attention into performance
eMarketergeneral

FAQ on attention metrics: How advertisers can turn attention into performance

<a href="https://news.google.com/rss/articles/CBMiowFBVV95cUxQZGFfWFZHZldNWjkyalBqd0h0RXFVdzA1dGJrMjZ2anI0UHg3NHdycDYyemNuSmVETE85MzZ5LUR3Q1BmWDJ4WXhCeTFGdVl6cHlITnQ1WEJ5SVdCeTAtbUpEeWNYeTVQeXpORXFFby1td01aZUhQeS1mZG5oR2FYTnA0eEVxak5MVE1Ic1lfNnlBT2NVWVVGZ213R2RJazNVZmQ0?oc=5" target="_blank">FAQ on attention metrics: How advertisers can turn attention into performance</a>  <font color="#6f6f6f">eMarketer</font>

Quantifying Geopolitical Risk at the Company Level
MSCIgeneral

Quantifying Geopolitical Risk at the Company Level

<a href="https://news.google.com/rss/articles/CBMipgFBVV95cUxNdzRSSlpvZEhyckJLUks3cG1IUUQtUHhsQWFLR29Oc0E3a3JNQl9XSklzMTdYaC05UE9yc18xNEVkUlhzUzg5RWVuZlE2YmFjTTRGWGFUZ0F0dWFZR3gwX3hZVWJRWThiRUpHWGM2YjVGZWdfYW9VNS1XVktnWWhsZUExQVduNUhRc3IyamRSaHQtTmphQlE4YjNKbDd6clpWMGZuRmhn?oc=5" target="_blank">Quantifying Geopolitical Risk at the Company Level</a>  <font color="#6f6f6f">MSCI</font>

Quantifying attention in children with intellectual and developmental disabilities through multicenter electrooculogram signal analysis
Naturegeneral

Quantifying attention in children with intellectual and developmental disabilities through multicenter electrooculogram signal analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE44WGZYT3c2OG9JVUZIbXptZjNIM3JMVW5mYzlOUTY1Nk95TjVLRDhHcEE3TzgyclZvbzl6djVCRXYzc04zUmJsWTFpOGllUWVGc0haUk9ncWowZ1p5ajY4?oc=5" target="_blank">Quantifying attention in children with intellectual and developmental disabilities through multicenter electrooculogram signal analysis</a>  <font color="#6f6f6f">Nature</font>

Quantifying interpretation reproducibility in Vision Transformer models with TAVAC
Science | AAASgeneral

Quantifying interpretation reproducibility in Vision Transformer models with TAVAC

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1KOV9KWlVweFFwaGdLX290RW9mR0c3WU9XTkRBS1JXOHdaTmpMdDhsVS1hbWJkenVaTVVpQ2J1X2M5Z0V5WGdEbkprNTBLMk9DcFBYcWJwV3J2NTFtSU5j?oc=5" target="_blank">Quantifying interpretation reproducibility in Vision Transformer models with TAVAC</a>  <font color="#6f6f6f">Science | AAAS</font>

Attention and Biometrics
Loyola University Chicagogeneral

Attention and Biometrics

<a href="https://news.google.com/rss/articles/CBMikwFBVV95cUxPUG1mek16UEg2SjFleDlVZWtabnlXYW5NeW5sZ2E1U1huaUtsb3l1Znh2Ym9fS0trMk51N2dtRE5lTzhXNU95Umg2Vm1vMGJ2eHEwU2J1TXBrNGN1OHQxcjlxV0k1TGFzeU5XX2dndTdYR1RwVy0tVkdtVlRpOGtnRDdITXJkNmVaS1FyZlNLTUZIekE?oc=5" target="_blank">Attention and Biometrics</a>  <font color="#6f6f6f">Loyola University Chicago</font>

New study reveals how to keep readers’ attention in digital age
Temple Nowgeneral

New study reveals how to keep readers’ attention in digital age

<a href="https://news.google.com/rss/articles/CBMimwFBVV95cUxNWHN3cV92NlpwV25TakZGRldQWW03SXNmaS02bXFwQjZUYkV2RlBlZXNjS08wNHkydVpCYno3S1AzOFpRa0hmN3VpNngySjhldDMtNGRQUnB0M2ZEZ1FoLVotUmhfNll5bkhKa19BMjMwaWFFVXBIUDNFU2tVbmp4eHM0WFh2UW5kTWNrVTR0THNHeGpVTURTeV9mTQ?oc=5" target="_blank">New study reveals how to keep readers’ attention in digital age</a>  <font color="#6f6f6f">Temple Now</font>

LLMs Are Not (Consistently) Bayesian: Quantifying Internal (In)consistencies of LLMs’ Probabilistic Beliefs
Apple Machine Learning Researchgeneral

LLMs Are Not (Consistently) Bayesian: Quantifying Internal (In)consistencies of LLMs’ Probabilistic Beliefs

<a href="https://news.google.com/rss/articles/CBMifkFVX3lxTFBSczFJMnlLRkY3bk9KNGNmRnJkWUlLcF85WmdTTDhXSWFNTzB3UHR2VlVrNGhyT1Zrdm4xQlB0cGlzdGs0TVRCclNYWURON3NydGZTQnJrUXFvVGpmcGdqX3VVRjlyUW9aXzl6VHBnTzlvU1NCb3prbW9RRy1Udw?oc=5" target="_blank">LLMs Are Not (Consistently) Bayesian: Quantifying Internal (In)consistencies of LLMs’ Probabilistic Beliefs</a>  <font color="#6f6f6f">Apple Machine Learning Research</font>

How to sharpen your attention and meet your goals in 2024
University of Californiageneral

How to sharpen your attention and meet your goals in 2024

<a href="https://news.google.com/rss/articles/CBMimwFBVV95cUxQaG9yMFhrNUdNcERjamdwM0pnTG9ma1JxZjI2UkVCd2xfbl93MG5heWU5UEJNOTl0dG9xNWVWeTFNQmVvR2E4MEVlU1loNy1GZXNyNTREX1VFSV9FOXV0UVd3aXBHTnpBU2ZLOUVGOXpDZHc4ZERWRnlaTEhnYzZCNmRySnhGeENJcHVwUjVCR3dXcmgybWVEUkU0cw?oc=5" target="_blank">How to sharpen your attention and meet your goals in 2024</a>  <font color="#6f6f6f">University of California</font>

Measuring Attention in Rodents: Comparison of a Modified Signal Detection Task and the 5-Choice Serial Reaction Time Task
Frontiersgeneral

Measuring Attention in Rodents: Comparison of a Modified Signal Detection Task and the 5-Choice Serial Reaction Time Task

<a href="https://news.google.com/rss/articles/CBMioAFBVV95cUxPaHFyVXRYZmFXcF93bjRPdU0tRjdmdFdiS2RHRjBGallqc3BUYnNUN281MU9wbjZRT0x5VVFuYlVjelM3aG1NbUlWVzYzc0RyTEtvaHFkYm9XRzF2TkRtbW1HUmpJbEIyM2pQTjJjN2tIY2Zfek1YSEY5NXQyVHNpemNOMm40WlZOUVVJdVRSQnQ2QlItMHlDcGxZeXVHVEIz?oc=5" target="_blank">Measuring Attention in Rodents: Comparison of a Modified Signal Detection Task and the 5-Choice Serial Reaction Time Task</a>  <font color="#6f6f6f">Frontiers</font>

Quantifying inner corridor space design elements for embedded retirement facilities based on eye-tracking
Naturescience

Quantifying inner corridor space design elements for embedded retirement facilities based on eye-tracking

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFAtbF9vXy1sSjR6MkFaV0dGWVhDTGdKTFFieFozQ3h4NV9fOGl4Umc0MC1NbU9ocnV1TmtpeXp6b1JqbVpXWGprUGdRcWdqLTNfZGI4Zk9MWGFYYUoxeDdV?oc=5" target="_blank">Quantifying inner corridor space design elements for embedded retirement facilities based on eye-tracking</a>  <font color="#6f6f6f">Nature</font>

RJAfinder: An automated tool for quantification of responding to joint attention behaviors in autism spectrum disorder using eye tracking data
Frontiersgeneral

RJAfinder: An automated tool for quantification of responding to joint attention behaviors in autism spectrum disorder using eye tracking data

<a href="https://news.google.com/rss/articles/CBMikwFBVV95cUxOTlJ6d2UxM05UaUVtOEVpdWlKQmJoUlFKdkJpNEwycDVLeC0yYWk0amFUbnVNM0VGTWQyNnFHRWpnM0FocHplSFlhcmt1aTV6TldUSzNGdWxENXdzdzN6M2czeUVDZWFYaHRyZHBjU0tPd2c2MF8zRWptM1NJVS1Md3JvLU5lRXBTejBqU3g5dnFBU0U?oc=5" target="_blank">RJAfinder: An automated tool for quantification of responding to joint attention behaviors in autism spectrum disorder using eye tracking data</a>  <font color="#6f6f6f">Frontiers</font>

End-to-end deep attention-based multitask pipeline for predicting uncertainty-quantified peptide properties from mass spectrometry data
Naturetech

End-to-end deep attention-based multitask pipeline for predicting uncertainty-quantified peptide properties from mass spectrometry data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1Lak52ekZRUm5SbWZOdC1VRVhTZUVPaEZiNGxXanpUWFEyTko3S3lPRFktYnVMc09mT09JSG5iSVptX2FnUXc5cVBhdlU5Y2tkV3VaVHVacWtqRHBKbFNR?oc=5" target="_blank">End-to-end deep attention-based multitask pipeline for predicting uncertainty-quantified peptide properties from mass spectrometry data</a>  <font color="#6f6f6f">Nature</font>

Measuring attention using the Posner cuing paradigm: the role of across and within trial target probabilities
Frontiersgeneral

Measuring attention using the Posner cuing paradigm: the role of across and within trial target probabilities

<a href="https://news.google.com/rss/articles/CBMimgFBVV95cUxNSzFxaTduWmdrRG80SmU2Nms3NXVNd1pabVA1WEVEMUR6a1NYSHg3SjdPcFQxWUZ6V05HREl3WEQ2V05lMVQ1ZWJ0UHUzcXRiZk9SMXdsM2tqcmZVbHhoLXZCeTVHRHVzeERsQ2pvaUZTUkNJUjBoZUF1dzRYOWtvZFlWRHpXb193ZHdTbVNxYWlDLVdIcUlrdkJR?oc=5" target="_blank">Measuring attention using the Posner cuing paradigm: the role of across and within trial target probabilities</a>  <font color="#6f6f6f">Frontiers</font>

A prospective multi-center study quantifying visual inattention in delirium using generative models of the visual processing stream
Naturegeneral

A prospective multi-center study quantifying visual inattention in delirium using generative models of the visual processing stream

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBrS3BFbTM0dGgycllYSGthU1BSZkxjN0ZwUFBXRXUtUl80SThUOWNqSkFKMG9pTEx0c25Tc1BhWE9WY2EwZTNKemxKTzlmM24ySE1OejM4eFZXRlZQM3ow?oc=5" target="_blank">A prospective multi-center study quantifying visual inattention in delirium using generative models of the visual processing stream</a>  <font color="#6f6f6f">Nature</font>

Predicting performance in attention by measuring key metabolites in the PCC with 7T MRS
Naturegeneral

Predicting performance in attention by measuring key metabolites in the PCC with 7T MRS

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE14cjd2Tm1GWkNZMDFuQVVjeFBHTnA3dl9RNmg0NGRBNkNlQTRfU3ZzOEREUnJDaWNhZ3RGTGpiRDBNQ21RRDlGNmpkc1gtd01sYmQ5MmZ0QzFKbmxHc0Vr?oc=5" target="_blank">Predicting performance in attention by measuring key metabolites in the PCC with 7T MRS</a>  <font color="#6f6f6f">Nature</font>

Measuring joint attention in co-creation through automatic human activity recognition
Cambridge University Press & Assessmentgeneral

Measuring joint attention in co-creation through automatic human activity recognition

<a href="https://news.google.com/rss/articles/CBMijAJBVV95cUxPUzBlTXRTTWw2UEw3dVBMOEdVVjJ2SHRxN0JRNndjXzM1MDUwUk02OFR4WVM2bWtkOVNSbUFISDQ1c2lldE1iZ1V2WnlVSnlYd2RLQk56N0RIbjRGTkVDanpYQUJHWDdZSm5jVHMzN1FWU0NlSmFHWS1jSmV0cXQxODkzZWlIY3NDSHhZeWNBNEsxNFZaMmhfaFJyVUR4UF9TUkVLWEczUkc1RnhZWFpsQ1hGRDlxQ1M3LXhnT3pxUnp1T0NCb2ZBVmVVY2lyNHZoZlB1TWttM0lsb1FkVFhwVkhsX3RhYWhTZ2ZJYnVMTHlDdU5wWnFQbFdNX0FpeTNQeWpqa3JWa1ppQklP?oc=5" target="_blank">Measuring joint attention in co-creation through automatic human activity recognition</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

Predicting attentional lapses using response time speed in continuous performance tasks
Frontiersgeneral

Predicting attentional lapses using response time speed in continuous performance tasks

<a href="https://news.google.com/rss/articles/CBMikAFBVV95cUxOTFlIRGlSbnhMekx1QkFrdHh0Tk1jdkdEYzQ4bzhQQUwyMHBuTWJaQk56Mkx2RVVfRDhyTlg4VnZTLWVVT1JzLUdPOV8yMFc1T1ZYV0hiczItQS1mODhEYUJ1Q1h0aWR5YTdwdDdVYUxLLXhDMGc5VGxsS215ZGZWaDZHNU1FT3hMZzRVZ0JEVzk?oc=5" target="_blank">Predicting attentional lapses using response time speed in continuous performance tasks</a>  <font color="#6f6f6f">Frontiers</font>

Immersion in nature enhances neural indices of executive attention - Scientific Reports
Naturegeneral

Immersion in nature enhances neural indices of executive attention - Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE02ZGhTVF9VYkt2di1IRDR4MzlqbXBoaWwwcTF5UF8yWE5FSXplLXhyelpMXzZ0WlJMU2Y3SU5BSnRwb2ZiZVVkN0FyWnMzVWV0dGZxdndGUUtOZzZweFI4?oc=5" target="_blank">Immersion in nature enhances neural indices of executive attention - Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

Whose Advantage? Measuring Attention Dynamics across YouTube and Twitter on Controversial Topics
The Association for the Advancement of Artificial Intelligencegeneral

Whose Advantage? Measuring Attention Dynamics across YouTube and Twitter on Controversial Topics

<a href="https://news.google.com/rss/articles/CBMiZkFVX3lxTE9VVlpWNWhtTVhjdVBPT24zaW1oWU02SWpzN0VGWVdOYjQtX0JjcTZfYUpjUnlmXzA2TkwzZUxNVkk2U2JtRDdabVVMNmZOaklRb2xla1ljUWZpLTNFQ3hDUzdoX1ROdw?oc=5" target="_blank">Whose Advantage? Measuring Attention Dynamics across YouTube and Twitter on Controversial Topics</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

Opinion | The Multi-Trillion-Dollar Battle for Your Attention Is Built on a Lie
The New York Timesgeneral

Opinion | The Multi-Trillion-Dollar Battle for Your Attention Is Built on a Lie

<a href="https://news.google.com/rss/articles/CBMijwFBVV95cUxNeDVaQTRnUkY0RlB4SUxQQVJHcVhsTkpaSW8xOHJXYVZ4NUJBU09yd3c4RU9LSWJqeWhiRFZac1BDTmMxb0lqclJrbXB5aHlnM041bC1Vdkx4NE1Md2YtQWc1Tnc3TGJsM0pBOXd4bWJPaWJZWkdOc0ZRQkhueFBnZzhiXzNrSFVhN2V2d2prNA?oc=5" target="_blank">Opinion | The Multi-Trillion-Dollar Battle for Your Attention Is Built on a Lie</a>  <font color="#6f6f6f">The New York Times</font>

A GRU–CNN model for auditory attention detection using microstate and recurrence quantification analysis
Naturegeneral

A GRU–CNN model for auditory attention detection using microstate and recurrence quantification analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9OenFuREZVSWREUXVySHhhYWFsdmdxY1VJLVZMZkNSTFQwLUhvYWVVT2hMZVEyMVZPYl9oZWs5NEQxWUFJZ3Z0SXpiSG0zUDRZNFlBeDRoZVJyT2U5SlJz?oc=5" target="_blank">A GRU–CNN model for auditory attention detection using microstate and recurrence quantification analysis</a>  <font color="#6f6f6f">Nature</font>

Cybernetic Attention: All Watched over by Machines We Learned to Watch
The Public Domain Reviewtech

Cybernetic Attention: All Watched over by Machines We Learned to Watch

<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTE12TXdVWXV1MU9fSURpNzV6RENRY2xjYmpXMG5OS25fTzBCZnVKLW8wZlM5dEJoV1RMa0JpS2xOaXVTeWR0R3ZoSmhoU0pGSTNCM3FVeWNIZzVOeUs2X1RwckVvQTlyZkQ2VWc?oc=5" target="_blank">Cybernetic Attention: All Watched over by Machines We Learned to Watch</a>  <font color="#6f6f6f">The Public Domain Review</font>

Residual bayesian attention networks for uncertainty quantification in regression tasks | Scientific Reports
Naturetech

Residual bayesian attention networks for uncertainty quantification in regression tasks | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9SMlZFQndXT2M3NGJTenZPZGwxc3ZwRnJIVUs2RFJkQWVhbm96a1pYY3hnSHRIMXVjSzBaN0lCV2NoQTdXbGp6eEdEbmZzMGxWQXFsU3lDVmZiaEpDS0Nz?oc=5" target="_blank">Residual bayesian attention networks for uncertainty quantification in regression tasks | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

AdExplainer: How To Use Attention Metrics
AdExchangertech

AdExplainer: How To Use Attention Metrics

<a href="https://news.google.com/rss/articles/CBMiiAFBVV95cUxNQ3dXdEs0NElOTzZObmxQdldmOFlGbENLTmZoOV8yU0l1VEtYTjJKUktacmtSZi1XYlFULWJBc1M0QWdmd1dpNGJidXhTcmxLTW9RYTFFTzZ0Nl9md2lsNUtJOXFfZXpOMWJ0SXhldzlJNkJ6NTFXZXFRVFFack93VGQwejJaejJV?oc=5" target="_blank">AdExplainer: How To Use Attention Metrics</a>  <font color="#6f6f6f">AdExchanger</font>

Using machine learning to simultaneously quantify multiple cognitive components of episodic memory
Naturegeneral

Using machine learning to simultaneously quantify multiple cognitive components of episodic memory

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBZSDRMNnRBd2RKYnR3MU1ybGd3TWF1QUp0VENGRGF3aHdIdE5Kc3hGd3U4elJJcGdXd205TVJqUWUzR1poUGZ3ZXFMUmRMVHNQUmgxUUQ3RnluUG15eE9B?oc=5" target="_blank">Using machine learning to simultaneously quantify multiple cognitive components of episodic memory</a>  <font color="#6f6f6f">Nature</font>

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