Classical conditioning in different temporal constraints: an STDP learning rule for robots controlled by spiking neural networks.
André CyrMounir BoukadoumPublished in: Adapt. Behav. (2012)
Keyphrases
- spiking neural networks
- temporal constraints
- learning rules
- biologically inspired
- temporal reasoning
- neural network
- feed forward
- biologically plausible
- artificial neural networks
- temporal information
- humanoid robot
- mobile robot
- robotic systems
- receptive fields
- learning algorithm
- robot control
- motor control
- constraint satisfaction problems
- learning scheme
- learning mechanism
- functional dependencies
- learning strategies
- expert systems
- multiscale
- computer vision
- spatio temporal
- machine learning