Spatio-temporal pattern recognition in neural circuits with memory-transistor-driven memristive synapses.
Kurtis D. CantleyRobert C. IvansAnand SubramaniamEric M. VogelPublished in: IJCNN (2017)
Keyphrases
- spatio temporal
- pattern recognition
- associative memory
- power dissipation
- high speed
- neural network
- hebbian learning
- power consumption
- neural computation
- low power
- circuit design
- network architecture
- spiking neural networks
- lateral inhibition
- signal processing
- moving objects
- image sequences
- biologically inspired
- bio inspired
- digital signal processing
- neural model
- receptive fields
- memory usage
- pattern recognition problems
- network model
- memory requirements
- logic circuits
- feature extraction
- image processing
- computer vision
- neural models
- floating gate
- shift register
- integrated circuit
- spatial and temporal
- spatio temporal databases
- recurrent neural networks
- pattern classification
- spiking neurons
- analog vlsi
- random access memory
- delay insensitive
- machine learning
- image analysis
- synaptic plasticity
- dimensionality reduction
- space time
- logic synthesis
- spatio temporal data
- main memory
- finite state machines
- learning rules