Network of Evolvable Neural Units: Evolving to Learn at a Synaptic Level.
Paul BertensSeong-Whan LeePublished in: CoRR (2019)
Keyphrases
- spiking neural networks
- network architecture
- learning rules
- sensory inputs
- spiking neurons
- hebbian learning
- biologically inspired
- recurrent networks
- synaptic plasticity
- feed forward
- neural network
- neuron model
- biologically plausible
- levels of abstraction
- network model
- peer to peer
- network management
- higher level
- complex networks
- input patterns
- computer networks
- recurrent neural networks
- network topologies
- sensory data
- mobile robot
- primary visual cortex
- wireless sensor networks
- single neuron
- social networks
- action potentials
- data sets