Spike-timing dependent plasticity partially compensates for neural delays in a multi-layered network of motion-sensitive neurons.
Charlie M. SextonAnthony N. BurkittHinze HogendoornPublished in: PLoS Comput. Biol. (2023)
Keyphrases
- multi layered
- spiking neural networks
- synaptic plasticity
- neural learning
- biologically inspired
- spiking neurons
- network architecture
- spike trains
- biologically plausible
- learning rules
- neuronal networks
- neural network
- neural models
- hebbian learning
- lateral inhibition
- synaptic weights
- recurrent networks
- neural model
- hopfield network
- artificial neural networks
- feed forward
- input patterns
- neuron model
- motion model
- motion estimation
- image sequences
- network structure
- neural network model
- connection weights
- associative memory
- single neuron
- moving objects
- network traffic
- social networks
- optical flow
- wireless sensor networks
- peer to peer
- space time
- camera motion
- recurrent neural networks
- motion analysis