一再 发表于 2025-3-21 18:29:13
书目名称Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0308151<br><br> <br><br>书目名称Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0308151<br><br> <br><br>书目名称Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0308151<br><br> <br><br>书目名称Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0308151<br><br> <br><br>书目名称Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0308151<br><br> <br><br>书目名称Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0308151<br><br> <br><br>书目名称Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0308151<br><br> <br><br>书目名称Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0308151<br><br> <br><br>书目名称Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0308151<br><br> <br><br>书目名称Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0308151<br><br> <br><br>分散 发表于 2025-3-21 23:06:13
Hebbian Learning Clustering with Rulkov Neurons big data sets. Here, we present a novel implementation based on realistic neuronal dynamics that removes also this obstacle. By a performance that scales favourably compared to all standard clustering algorithms, unbiased large data analysis becomes feasible on standard desktop hardware.上腭 发表于 2025-3-22 01:35:25
Moment by Moment by Shakespearen standard software packages. This calls for an impeding necessity to ameliorate mathematical descriptions of real memristors. In this paper we present a thorough study which aims at deriving the most appropriate set of continuous and differentiable approximants to the discontinuous and piecewise di使困惑 发表于 2025-3-22 05:38:06
https://doi.org/10.1007/978-3-662-12535-9 big data sets. Here, we present a novel implementation based on realistic neuronal dynamics that removes also this obstacle. By a performance that scales favourably compared to all standard clustering algorithms, unbiased large data analysis becomes feasible on standard desktop hardware.fibula 发表于 2025-3-22 08:53:45
http://reply.papertrans.cn/31/3082/308151/308151_5.pngConflict 发表于 2025-3-22 15:42:03
http://reply.papertrans.cn/31/3082/308151/308151_6.pngConflict 发表于 2025-3-22 17:27:21
http://reply.papertrans.cn/31/3082/308151/308151_7.pngneedle 发表于 2025-3-22 22:43:58
Complex Bifurcation of Arnol’d Tongues Generated in Three-Coupled Delayed Logistic Mapsstructure is generated when a conventional Arnol’d tongue transits to a higher-dimensional Arnol’d tongue. We discovered that, at least, two periodic attractors coexist in the conventional Arnol’d tongue which can bifurcate to two one-tori via doubly-folded Neimark–Sacker bifurcation.ZEST 发表于 2025-3-23 03:40:29
Phase Response Properties of Rulkov Model Neurons by Rulkov’s phenomenological, low-dimensional, map-based neuron models. Here, using phase response curves, we show that Rulkov map neurons also respond to transient pulse stimulation in a way that is compatible with the biological examples. This is important because Rulkov maps are computationallyconspicuous 发表于 2025-3-23 06:57:46
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