Fine-grained Artificial Neurons in Audio-transformers for Disentangling Neural Auditory Encoding.
Mengyue ZhouXu LiuDavid LiuZihao WuZhengliang LiuLin ZhaoDajiang ZhuLei GuoJunwei HanTianming LiuXintao HuPublished in: ACL (Findings) (2023)
Keyphrases
- fine grained
- neural network
- cross modal
- visual information
- neural model
- signal processing
- sensory inputs
- spike trains
- coarse grained
- associative memory
- primary visual cortex
- neuron model
- spiking neural networks
- prefrontal cortex
- working memory
- learning rules
- neural mechanisms
- liquid state machine
- access control
- single neuron
- spiking neurons
- hodgkin huxley
- multimedia
- neural models
- hebbian learning
- network architecture
- receptive fields
- lateral inhibition
- visual cortex
- synaptic plasticity
- orientation selective
- biologically plausible
- tightly coupled
- audio visual
- biologically inspired
- information processing
- neuronal networks
- massively parallel
- sensory motor
- data lineage
- metadata
- feed forward
- visual features
- artificial neural networks