In "Learning by stimulation avoidance: A principle to control spiking neural networks dynamics" by Sinpayen et al. a learning rule called Learning by Stimulation Avoidance (LSA) is presented. According to the abstract, this learning rule:
- Scale to at least a hundred neurons
- Explains synaptic pruning
- Replicates results from "Development, learning and memory in large random networks of cortical neurons: lessons beyond anatomy" by Marom and Shadoff
How does the mechanism compare to the Prescribed Sensitivity Error (PES) learning rule used by the NEF? Is LSA compatible with the NEF?
