An Analog and Time-Discrete Neuron with Charge-Injection for Use in Ultra-Low Power Spiking Neural Networks.
Matthias OchsMarkus DietlRalf BrederlowPublished in: PRIME (2024)
Keyphrases
- spiking neural networks
- biologically inspired
- spiking neurons
- neural models
- ultra low power
- artificial neural networks
- learning rules
- neural network
- synaptic plasticity
- feed forward
- biologically plausible
- low power
- neuron model
- hebbian learning
- motor control
- real time
- neural model
- spike trains
- synaptic weights
- training algorithm
- low cost
- domain knowledge
- support vector
- receptive fields
- neural network model