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Transmission Neural Networks: Inhibitory and Excitatory Connections paper released

By PulseAugur Editorial · [1 sources] ·

This paper introduces an extension to the Transmission Neural Network model, incorporating inhibitory connections and neurotransmitter dynamics. The researchers established characterizations for neuron firing probabilities, demonstrating an equivalent representation using a neural network with continuous states. The study also modeled neurotransmitter populations and analyzed the stability and contraction properties of the resulting limit network. AI

IMPACT Introduces a novel neural network model with potential implications for understanding complex biological neural systems.

RANK_REASON Academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

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

Transmission Neural Networks: Inhibitory and Excitatory Connections paper released

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Academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Shuang Gao, Peter E. Caines ·

    Transmission Neural Networks: Inhibitory and Excitatory Connections

    arXiv:2604.04246v2 Announce Type: replace-cross Abstract: This paper extends the Transmission Neural Network model proposed by Gao and Caines in [1]-[3] to incorporate inhibitory connections and neurotransmitter populations. The extended network model contains binary neuronal sta…

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