The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks.
Benjamin CramerYannik StradmannJohannes SchemmelFriedemann ZenkePublished in: IEEE Trans. Neural Networks Learn. Syst. (2022)
Keyphrases
- spiking neural networks
- systematic evaluation
- data sets
- biologically inspired
- neural models
- spiking neurons
- comprehensive evaluation
- artificial neural networks
- biomedical text
- experimental evaluation
- learning rules
- feed forward
- neural network
- hebbian learning
- biologically plausible
- training algorithm
- automatic query expansion
- radial basis function
- feature vectors
- training data
- retrieval systems
- motor control
- query expansion
- language model
- feature extraction
- artificial intelligence
- neuron model