Neural Trade-Offs among Specialist and Generalist Neurons in Pattern Recognition.
Aaron MonteroRamón HuertaFrancisco B. RodríguezPublished in: EANN (2014)
Keyphrases
- pattern recognition
- neural network
- trade off
- neural model
- neuron model
- associative memory
- primary visual cortex
- network architecture
- spike trains
- spiking neurons
- spiking neural networks
- neural computation
- learning rules
- hebbian learning
- neural models
- synaptic plasticity
- lateral inhibition
- single neuron
- neural mechanisms
- computer vision
- hodgkin huxley
- neuronal networks
- dimensionality reduction
- artificial neural networks
- distributed representations
- receptive fields
- biologically plausible
- liquid state machine
- machine learning
- feature extraction
- pattern recognition problems
- visual cortex
- bio inspired
- hidden layer
- biologically inspired
- graph matching
- fuzzy sets
- neural network model
- back propagation
- support vector machine svm
- image analysis
- multilayer perceptron
- signal processing
- genetic algorithm
- image processing
- synaptic weights
- feed forward
- neural fuzzy
- connectionist models
- control scheme
- sensory inputs
- activation function