Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference.
Basile ConfavreuxPoornima RameshPedro J. GonçalvesJakob H. MackeTim P. VogelsPublished in: NeurIPS (2023)
Keyphrases
- meta learning
- spiking neural networks
- learning rules
- feed forward
- biologically inspired
- learning tasks
- spiking neurons
- inductive learning
- meta knowledge
- model selection
- neural network
- biologically plausible
- decision trees
- machine learning algorithms
- artificial neural networks
- bayesian networks
- machine learning
- data mining
- feature selection
- transfer learning
- recurrent neural networks
- data sets
- metamodel
- base classifiers
- spike trains
- learning algorithm
- feature set