Detection of spiking motifs of arbitrary length in neural activity using bounded synaptic delays

arXiv:2511.15296 · q-bio.NC · Submitted 2025-11-19 · Read on arXiv

q-bio.NC

Submitted: 2025-11-19

Updated: 2026-09-16

Code: https://github.com/ThomasKronland/2026_

Terminology

• Robustness — 8× in this paper · explained in 5 episodes
• Spiking neural networks — 7× in this paper · explained in 2 episodes
• Spiking Heidelberg Digits — 6× in this paper
• Leaky Integrate-and-Fire — 4× in this paper
• Energy Efficiency — 2× in this paper · explained in 3 episodes
• alpha — 2× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Spike-Timing Dependent Plasticity — 1× in this paper

Sources

• Working Memory in a Recurrent Spiking Neural Networks With Heterogeneous Synaptic Delays
• Hopfield Networks is All You Need

Related papers

• BrainWave: A Brain Signal Foundation Model for Clinical Applications
• Toward Robust, Reproducible, and Widely Accessible Intracranial Speech Brain-Computer Interfaces: A Comprehensive Narrative Review of Neural Mechanisms, Hardware, Algorithms, Evaluation, Clinical Pathways and Future Directions
• CytoNet: A Foundation Model for the Human Cerebral Cortex at Cellular Resolution
• Emergence of psychopathological computations in large language models
• NeuroAI and Beyond: Bridging Between Advances in Neuroscience and Artificial Intelligence
• Attraction to hierarchical feature memory explains orientation bias