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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

Samuel A Neymotin

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Open access Jul 2026

A Synchronization-Driven Learning Rule for Pattern Separation in Self-Organizing Probabilistic Spiking Neural Networks

This work systematically investigated how feedback inhibition influences network dynamics, stability, synchronization, and pattern separation efficacy and demonstrated that moderate inhibition produces an optimal balance between excitatory and inhibitory activity, maximizing pattern separation while preventing both exc...

Faramarz Faghihi, Ahmed Moustafa, Samuel A Neymotin · 0 citations
Open access Aug 2026

Context-Aware Evidence-Gated Plasticity for Multi-Goal Learning in Spiking Neural Networks

These results demonstrate that spiking navigation circuits can learn goal-directed behavior using local plasticity, but robust multi-goal learning benefits from context-specific evidence-based consolidation.

Samuel A Neymotin, Hananel Hazan, Gozde Unal et al. · 0 citations

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