Synaptic Weight Distributions Depend on the Geometry of Plasticity.
Roman PogodinJonathan CornfordArna GhoshGauthier GidelGuillaume LajoieBlake Aaron RichardsPublished in: ICLR (2024)
Keyphrases
- synaptic weights
- feed forward
- learning rules
- synaptic plasticity
- spiking neural networks
- neural network
- biologically inspired
- probability distribution
- artificial neural networks
- neural network model
- biologically plausible
- three dimensional
- spiking neurons
- power law
- kullback leibler divergence
- learning mechanism
- random variables
- weight assignment
- exponential distributions
- conjugate priors
- single neuron
- exponential family
- weight vector
- semi supervised