Search research articles

关于 JoVE

概览领导团队博客 JoVE 帮助中心

作者

出版流程编辑委员会范围与政策同行评审常见问题投稿

图书馆员

用户评价订阅访问资源图书馆顾问委员会常见问题

研究

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

Osmoregulation in Fishes

Osmoregulation in Fishes

When cells are placed in a hypotonic (low-salt) fluid, they can swell and burst. Meanwhile, cells in a hypertonic solution—with a higher salt concentration—can shrivel and die. How do fish cells avoid these gruesome fates in hypotonic freshwater or hypertonic seawater environments?

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序

Same author

Learning using switching synaptic plasticity rules.

bioRxiv : the preprint server for biology·2026

Same author

Implications of hierarchical Markov models of behavior: on irreversibility, predictability, and dimensionality.

ArXiv·2026

Same author

Environmental modulation of small-scale exploration in weakly electric fish.

The Journal of experimental biology·2026

Same author

Human-in-the-loop governance of artificial intelligence in cardiology: From ethical principles to operational paradigms.

Indian heart journal·2026

Same author

Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks.

Advances in neural information processing systems·2026

Same author

Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments.

Advances in neural information processing systems·2026

Same journal

MetaboNet-Bench: A Multi-modal Benchmark for Glucose Forecasting in Type 1 Diabetes.

ArXiv·2026

Same journal

A Positron Range Correction with Texture Preservation Framework in PET Imaging.

ArXiv·2026

Same journal

Automated optimization of force field parameters against ensemble-averaged measurements with Bayesian Inference of Conformational Populations.

ArXiv·2026

Same journal

Droplet Fusion as a Relaxation Process: Comparison with Shape Recovery of Newtonian and Viscoelastic Droplets.

ArXiv·2026

Same journal

Ridge-filter crosstalk in conformal proton FLASH planning: dependence on beamlet pitch and iterative mitigation.

ArXiv·2026

Same journal

Electrochemical DNA Hairpin Sensors for Differentiating Small Molecule Intercalation from Minor Groove Binding.

ArXiv·2026

查看所有相关文章

Search research articles

相关实验视频

Updated: Jan 10, 2026

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Published on: March 6, 2014

在使用多剂深度强化学习的弱电鱼中理解电通信和电感应.

Satpreet H Singh¹, Sonja Johnson-Yu¹, Zhouyang Lu²

¹Harvard University.

|November 26, 2025

概括

此摘要是机器生成的。

人工代理模拟弱电鱼,揭示复杂的社会行为,如自由充电和上下文依赖的沟通. 这种计算框架为神经伦理学提供了洞察力,传统研究具有挑战性.

更多相关视频

Wireless Electrophysiological Recording of Neurons by Movable Tetrodes in Freely Swimming Fish

Wireless Electrophysiological Recording of Neurons by Movable Tetrodes in Freely Swimming Fish

Published on: November 26, 2019

Silencing the Spark: CRISPR/Cas9 Genome Editing in Weakly Electric Fish

Silencing the Spark: CRISPR/Cas9 Genome Editing in Weakly Electric Fish

Published on: October 27, 2019

相关实验视频

Last Updated: Jan 10, 2026

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Published on: March 6, 2014

Wireless Electrophysiological Recording of Neurons by Movable Tetrodes in Freely Swimming Fish

Wireless Electrophysiological Recording of Neurons by Movable Tetrodes in Freely Swimming Fish

Published on: November 26, 2019

Silencing the Spark: CRISPR/Cas9 Genome Editing in Weakly Electric Fish

Silencing the Spark: CRISPR/Cas9 Genome Editing in Weakly Electric Fish

Published on: October 27, 2019

科学领域:

神经伦理学神经伦理学
计算神经科学是一种神经科学.
人工智能的人工智能

背景情况:

弱电鱼 (如Gnathonemus petersii) 使用电信号进行传感和通信.
在自然环境中研究它们复杂的行为在实验上是很困难的.

研究的目的:

开发一种新的计算框架,用于研究弱电鱼的电感和电通信.
使用人工智能来建模新兴的社会行为和神经活动.

主要方法:

基于循环神经网络 (RNN) 的人工智能被训练使用多智能强化学习 (MARL).
代理人在虚拟环境中调节器官电放电 (EOD) 和运动模式,用于集体食.
进化启发的奖励专注于个人健康和新兴的互动.

主要成果:

训练有素的特工表现出与真实鱼类相似的新兴行为,包括重尾EOD间隔分布和上下文依赖的EOD转移.
观察到社交互动模式,如"自由充电",其中代理人减少了EOD率,同时从其他人中受益.
一个两个鱼的模拟突出了同类型的EOD的重要性,以及在食成功中的主导地位.

结论:

该计算框架成功模拟了弱电鱼的复杂的社会和沟通行为.
这种方法为研究社会动物提供了一个可行的替代方案,当传统的多个体记录是不可行的.
这些发现促进了对不同动物群体神经伦理学和社会沟通的理解.