Annu Rev Neurosci October 2004 PMID 15217335

The neural basis of temporal processing.

Michael D Mauk, Dean V Buonomano

Mentions

8
Peak: 1 in Oct 2017
across 3 sources since Oct 2017

Extended reach

272,230
potential audience

Total likes

6,953

Video views

236,864

Mentions per month

Oct 2017 – Apr 2024

Where it's discussed

  • X / Twitter4 posts
  • YouTube2 videos
  • Blogs2 articles

AI synopsis

What people are saying

The discussions demonstrate a balanced interest in the research, with examples such as references to how neural networks underlie timing, and mentions of behavioral implications like why we dislike waiting, illustrating curiosity and relevance. The tone varies from curiosity to acknowledgment of the scientific content, reflecting a moderate engagement that appreciates the article's contribution without deep technical debate.

AgreementModerate agreement

Most of the discussions recognize the importance of the article, with some explicitly agreeing on its significance for understanding neural mechanisms of time processing.

InterestModerate interest

Comments show moderate interest, noting the relevance to topics like patience, waiting, and neural processing, though some lack depth or detailed critique.

EngagementModerate engagement

Participants reference specific concepts like neural networks and behavioral implications, indicating a moderate level of engagement and reflection.

ImpactModerate impact

The discussions touch on how the work informs understanding of waiting and temporal perception, suggesting some recognition of its potential influence on neuroscience and psychology fields.

Abstract in brief

  • This text explains that understanding how the nervous system processes time in the range of tens to hundreds of milliseconds is essential for both simple sensory tasks and complex behaviors like speech and playing the piano, involving a distributed network rather than a single internal clock.
  • It reviews evidence from behavioral, electrophysiological, and theoretical studies, suggesting that temporal processing is spread across multiple brain structures and does not depend on specialized, independent timing mechanisms.
  • The authors propose that temporal and spatial processing are closely linked within neural networks, and timing may emerge from dynamic changes in these networks rather than from dedicated timing structures like delay lines or oscillators.]

Top posts

Most liked on X and Bluesky
OmniPuro
@OmniPuro · X

#ぷろEnglish ◆#今日のリスニング :2020/10/12 Why We Don't Like to Wait https://t.co/RcBMCMw644 via @YouTube

Oct 12, 2020 · 2 likes · 12,924 followers View post →
أُترجِم
@autrjim · X

لماذا لا نحب الانتظار

Jan 21, 2020 · 1 like · 9,735 followers View post →
Jordan James Etem
@JordanJamesEtem · X

Mauk MD, Buonomano DV (2004) The neural basis of temporal processing. Annu Rev Neurosci 27:307–340 @OracleCloudSCM @Azure #DeepLearning ☀️

Sep 28, 2022 · 12,636 followers View post →
David Dean
@DavidDean897538 · X

https://t.co/OiEeYXBzJi

Apr 28, 2024 · 72 followers View post →

All mentions

David Dean
@DavidDean897538 · X

https://t.co/OiEeYXBzJi

Apr 28, 2024 · 72 followers View post →
Jordan James Etem
@JordanJamesEtem · X

Mauk MD, Buonomano DV (2004) The neural basis of temporal processing. Annu Rev Neurosci 27:307–340 @OracleCloudSCM @Azure #DeepLearning ☀️

Sep 28, 2022 · 12,636 followers View post →
OmniPuro
@OmniPuro · X

#ぷろEnglish ◆#今日のリスニング :2020/10/12 Why We Don't Like to Wait https://t.co/RcBMCMw644 via @YouTube

Oct 12, 2020 · 2 likes · 12,924 followers View post →
أُترجِم
@autrjim · X

لماذا لا نحب الانتظار

Jan 21, 2020 · 1 like · 9,735 followers View post →