Evolutionary Optimization of SNNs
TKAI Lab (Mali Lab)
| *TKAI Lab (Mali Lab) | Python, Brian2, Evolutionary Algorithms* |
- Problem: Linking mechanistic spiking activity to functional input-output behavior in the auditory pathway.
- Method: Utilized CNModel to generate synthetic cochlear nucleus spike trains. Applied evolutionary meta-heuristic algorithms to optimize parameters of biologically plausible Spiking Neural Networks (SNNs) with STDP learning rules.
- Outcome: Demonstrated convergence of mechanistic models toward biological reference data; presented at NCUR 2025.