Extending memory capacity of neural associative memory based on recursive synaptic bit reuse.
Tianchan GuanXiaoyang ZengMingoo SeokPublished in: DATE (2017)
Keyphrases
- memory capacity
- associative memory
- storage capacity
- hebbian learning
- learning rules
- spiking neural networks
- neuron model
- single neuron
- spiking neurons
- main memory databases
- network architecture
- primary visual cortex
- synaptic plasticity
- neural network
- spike trains
- biologically plausible
- sensory inputs
- feed forward
- biologically inspired
- behavioral data
- database systems
- synaptic weights
- database
- neural model
- artificial neural networks