Reference library
Simple model of spiking neurons - Neural Networks, IEEE Transactions on
Paper summary
Introduces a compact dynamical spiking-neuron model capable of diverse firing and bursting patterns. It seeks a compromise between conductance-model richness and the computational efficiency of simpler integrate-and-fire models.
Relevance to the project
A reduced-model comparison for fast and slow internal dynamics under a small state budget. Useful as a baseline if spiking behavior is later investigated.
Rich firing patterns do not establish learning or faithful reproduction of every biological mechanism.
Source record
- Reference ID
- pdf-https-www-izhikevich-org-publications-spikes-pdf
- Archived version
- Direct PDF cited in project notes; publication status needs source-specific inspection
- Summary provenance
- reference-library/papers/pdf-https-www-izhikevich-org-publications-spikes-pdf/metadata.json · summary
- Review status
- initial orientation summary; not a critical full-paper review
- Reading scope
- Selected abstract/opening and available closing discussion/conclusion passages in the preserved text extract; broader project notes provide context. No reproduction of experiments, exhaustive methods review, or equation/figure audit.