缩写 发表于 2025-3-21 19:48:17
书目名称Mechanisms, Symbols, and Models Underlying Cognition影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0628780<br><br> <br><br>书目名称Mechanisms, Symbols, and Models Underlying Cognition影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0628780<br><br> <br><br>书目名称Mechanisms, Symbols, and Models Underlying Cognition网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0628780<br><br> <br><br>书目名称Mechanisms, Symbols, and Models Underlying Cognition网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0628780<br><br> <br><br>书目名称Mechanisms, Symbols, and Models Underlying Cognition被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0628780<br><br> <br><br>书目名称Mechanisms, Symbols, and Models Underlying Cognition被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0628780<br><br> <br><br>书目名称Mechanisms, Symbols, and Models Underlying Cognition年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0628780<br><br> <br><br>书目名称Mechanisms, Symbols, and Models Underlying Cognition年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0628780<br><br> <br><br>书目名称Mechanisms, Symbols, and Models Underlying Cognition读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0628780<br><br> <br><br>书目名称Mechanisms, Symbols, and Models Underlying Cognition读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0628780<br><br> <br><br>讨厌 发表于 2025-3-21 20:47:40
Modules, Layers, Hierarchies, and Loops Where Artificial Intelligence Meets Ethology and Neuroscienccommonalities that underly the understanding of action selection in different disciplines, and that may constitute the pieces of a common language with which AI can communicate ideas and findings to and from ethology and neuroscience.mechanism 发表于 2025-3-22 00:52:08
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Simulation of Orientation Contrast Sensitive Cell Behavior in TiViPEfunctional behavior of the neuronal responses of non orientation (within the CRF) sensitive 4C. cells , and give an explanation of the indirect information flow in V1 that explains the behavior of orientation contrast sensitivity.defray 发表于 2025-3-22 16:51:25
Separation of Extracellular Spikes: When Wavelet Based Methods Outperform the Principle Component Anl method of spike features extraction based on a combination of the PCA and continuous WT. Our approach allows automatic tuning of the wavelet part of the method by the use of knowledge obtained from the PCA. To illustrate the methods strength and weakness we provide comparative examples of their performances using simulated and experimental data.lesion 发表于 2025-3-22 18:44:50
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Gaussian Processes and Neuronal Modelingehavior of first passage time densities for Gaussian processes, both of a Markov and of a non-Markov type. Significant similarities or diversities between computational and simulated results are pointed out.Femine 发表于 2025-3-23 03:33:33
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