Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions.
Namitha PadmanabhanMatthew GwilliamPulkit KumarShishira R. MaiyaMax EhrlichAbhinav ShrivastavaPublished in: CoRR (2024)
Keyphrases
- neural network
- neural model
- spike trains
- associative memory
- neuron model
- primary visual cortex
- spiking neural networks
- synaptic plasticity
- network architecture
- learning rules
- hebbian learning
- neural mechanisms
- spiking neurons
- neural models
- neuronal networks
- prefrontal cortex
- biologically plausible
- single neuron
- image pixels
- lateral inhibition
- visual cortex
- receptive fields
- hodgkin huxley
- activation function
- biologically inspired
- distributed representations
- liquid state machine
- bio inspired
- input image
- sensory inputs
- computational neuroscience
- pixel values
- functional connectivity
- homogeneous regions
- spatial correlation
- hidden layer
- natural images
- learning algorithm