Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn.
Alper YegenogluAnand SubramoneyThorsten HaterCristian Jimenez-RomeroWouter KlijnAaron Perez MartinMichiel van der VlagMichael HertyAbigail MorrisonSandra Diaz-PierPublished in: Frontiers Comput. Neurosci. (2022)
Keyphrases
- parameter space
- high dimensional
- learning process
- prior knowledge
- learning rules
- learning algorithm
- probabilistic model
- learned models
- learning models
- parameter values
- statistical models
- learning tasks
- learning problems
- complex systems
- imitation learning
- previously learned
- spiking neural networks
- facilitate learning
- accurate models
- learning systems
- unsupervised learning
- signal processing
- reinforcement learning