Leveraging Spiking Deep Neural Networks to Understand the Neural Mechanisms Underlying Selective Attention.
Lynn K. A. SörensenDavide ZambranoHeleen A. SlagterSander M. BohtéH. Steven ScholtePublished in: J. Cogn. Neurosci. (2022)
Keyphrases
- selective attention
- mechanisms underlying
- neural network
- spiking neural networks
- visual processing
- hebbian learning
- learning rules
- feed forward
- neuron model
- spiking neurons
- network architecture
- biologically inspired
- receptive fields
- bio inspired
- biologically plausible
- focus of attention
- visual cortex
- artificial neural networks
- spike trains
- back propagation
- recurrent neural networks
- connectionist models
- object recognition
- visual field
- face detection
- perceptual grouping
- neural network model
- multilayer perceptron
- fuzzy logic
- visual attention
- selection mechanism
- fuzzy cognitive maps
- hidden layer
- contour extraction
- neural nets
- radial basis function
- higher order
- visual search
- visual information
- information processing