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Survey paper details biologically plausible neural system models

By PulseAugur Editorial · [1 sources] ·

A new survey paper published on arXiv details various approaches to mathematically modeling biologically plausible neural systems. The paper categorizes and characterizes these models based on shared features and specific applications. It examines spiking models, as well as discrete and continuous analogs, to accurately simulate biological processes like membrane potential dynamics. The selection of models for review was guided by their widespread use and novel perspectives aimed at improving the information's relevance. AI

RANK_REASON The cluster contains a survey paper published on arXiv detailing scientific research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.NE (Neural & Evolutionary) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Survey paper details biologically plausible neural system models

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The cluster contains a survey paper published on arXiv detailing scientific research. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Albert Nasybullin ·

    Single-Entity Spiking Neuron Models: Survey

    In this work, we reviewed different approaches in mathematical modeling of biologically plausible neural systems. Models are characterized and classified based on their common features and special use cases. In addition to spiking models, different types of discrete and continuou…

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