Decomposing spiking neural networks with Graphical Neural Activity Threads.
Bradley H. TheilmanFelix WangFred RothgangerJames B. AimonePublished in: CoRR (2023)
Keyphrases
- spiking neural networks
- biologically inspired
- neural models
- biologically plausible
- spiking neurons
- learning rules
- feed forward
- hebbian learning
- synaptic plasticity
- artificial neural networks
- neural network
- motor control
- network architecture
- training algorithm
- visual cortex
- bio inspired
- receptive fields
- radial basis function
- back propagation
- information processing
- reinforcement learning
- multiscale
- training data
- learning algorithm