Eur J Neurosci September 2014 PMID 24995793

Excitation and inhibition in recurrent networks mediate collision avoidance in Xenopus tadpoles.

Arseny S Khakhalin, David Koren, Jenny Gu, Heng Xu, Carlos D Aizenman

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Mentions

2
Peak: 1 in Jul 2014
across 2 sources since Jul 2014

Extended reach

1,595
potential audience

Total likes

2

Video views

185

Mentions per month

Jul 2014 – Mar 2019

Where it's discussed

  • X / Twitter1 posts
  • YouTube1 videos

AI synopsis

What people are saying

The discussions highlight interest in how tadpoles avoid collisions, with posts sharing videos and noting their quick responses. The tone is curious and observational, with some comments emphasizing the relevance of neural inhibition in sensory processing, suggesting a moderate appreciation for the study's significance.

AgreementModerate agreement

Most discussions acknowledge the importance of the findings, with some expressing confidence in the conclusions, while a few remain cautious or neutral.

InterestModerate interest

The posts show a moderate level of curiosity, sharing personal observations and reactions to the tadpoles' behaviors, indicating some engagement but not deep enthusiasm.

EngagementModerate engagement

Comments include personal videos and questions about collision detection mechanisms, reflecting a basic level of interest and some active participation.

ImpactModerate impact

There is a general sense that this research could influence understanding of neural circuits in sensory systems, though few explicitly state the broader implications.

Abstract in brief

  • The study investigates how the visual system of Xenopus tadpoles detects looming objects to avoid collisions, primarily focusing on the role of excitatory and inhibitory synaptic activity within the tectum.
  • Researchers found that collision detection relies on distributed recurrent networks in the tectum, where inhibition mainly regulates the integration of retinal and tectal inputs rather than directly shaping stimulus selectivity.
  • Manipulating synaptic inhibition either pharmacologically or through other means disrupted the tadpole's ability to selectively recognize looming stimuli, highlighting the critical role of inhibition in maintaining stimulus sensitivity within neural networks.

Top posts

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Arseny Khakhalin
@ampanmdagaba · X

Background: Xenopus tadpoles are good at avoiding collisions (here’s my video of the process). If collisions are slow enough, they just correct their course a bit, not even breaking a sweat. For faster collisions, they respond later, and with a startle. https://t.co/nBWhTYaN4N

Mar 27, 2019 · 1 like · 1,411 followers View post →

All mentions

Arseny Khakhalin
@ampanmdagaba · X

Background: Xenopus tadpoles are good at avoiding collisions (here’s my video of the process). If collisions are slow enough, they just correct their course a bit, not even breaking a sweat. For faster collisions, they respond later, and with a startle. https://t.co/nBWhTYaN4N

Mar 27, 2019 · 1 like · 1,411 followers View post →