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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Mario Treviño

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2 papers indexed here

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Open access Oct 2026

Decodable Spectral Structure of Input Noise in a Layered Cortical Spiking Network

Highlights What are the main findings? The spectral slope of input noise remained decodable from population activity. Decoding was highest in the stimulated layer-4 (L4) and second-highest in L2/3, and improved with noise contrast. What are the implications of the main findings? Population statistics remain informative...

Mario Treviño, Oscar Arias-Carrión · 0 citations
Review Open access Sep 2026

Dynamic salience as a basis for behavioural meta-malleability

Abstract Salience, the degree to which cues capture attention, is not fixed but updated through experience. Learning which cues anticipate meaningful outcomes requires cue–outcome relationships to be perceptible to begin with, rendering salience a gate for behavioural change. Because salience is itself malleable, behav...

Rodrigo Sosa, Mario Treviño · 0 citations

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