Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule.
Michael BeyelerNikil D. DuttJeffrey L. KrichmarPublished in: Neural Networks (2013)
Keyphrases
- spiking neural networks
- learning rules
- decision making
- biologically inspired
- spiking neurons
- neural network
- feed forward
- artificial neural networks
- biologically plausible
- hopfield neural network
- motor control
- hebbian learning
- decision makers
- back propagation
- learning mechanism
- network architecture
- learning scheme
- biological systems
- training algorithm
- information processing
- text categorization
- fuzzy logic
- knowledge base
- learning algorithm