Enabling Homeostasis using Temporal Decay Mechanisms in Spiking CNNs Trained with Unsupervised Spike Timing Dependent Plasticity.
Krishna Reddy KesariPriyadarshini PandaGopalakrishnan SrinivasanKaushik RoyPublished in: IJCNN (2020)
Keyphrases
- feed forward
- spike trains
- spiking neural networks
- biologically plausible
- spatio temporal
- temporal correlation
- supervised training
- bio inspired
- temporal information
- unsupervised learning
- biologically inspired
- learning rules
- temporal constraints
- spatial and temporal
- temporal reasoning
- semi supervised
- temporal databases
- temporal data
- cellular neural networks
- data driven
- temporal patterns
- neuron model
- temporal relations
- unsupervised manner
- temporal dimension
- learning mechanism
- multilayer perceptron
- neural network model
- training set
- machine learning
- mechanism design
- multi layer perceptron
- spatial temporal
- temporal evolution
- hidden layer
- computational models
- basal ganglia
- neural network