Nonlinear stimulus representations in neural circuits with approximate excitatory-inhibitory balance.
Cody BakerVicky ZhuRobert RosenbaumPublished in: PLoS Comput. Biol. (2020)
Keyphrases
- spiking neural networks
- spiking neurons
- spike trains
- visual cortex
- biologically inspired
- lateral inhibition
- distributed representations
- receptive fields
- recurrent neural network model
- biologically plausible
- numerical integration
- learning rules
- neural network
- network architecture
- piecewise linear
- neural model
- synaptic plasticity
- high speed
- simple linear
- feed forward
- synaptic weights
- delay insensitive
- symbolic representation
- associative memory
- higher level
- artificial neural networks
- feature space
- nonlinear model predictive control
- single neuron
- quantum computing
- hebbian learning
- visual processing