Late cortical tracking of ignored speech facilitates neural selectivity in acoustically challenging conditions.
Lorenz FiedlerMalte WöstmannSophie K. HerbstJonas ObleserPublished in: NeuroImage (2019)
Keyphrases
- biologically plausible
- controlled environment
- network architecture
- speech recognition
- real time
- visual tracking
- challenging real world
- particle filter
- biologically inspired
- object tracking in video sequences
- spiking neurons
- neural network
- motion model
- sufficient conditions
- real world
- control system
- automatic speech recognition
- text to speech
- video dataset
- motion tracking
- kalman filter
- bio inspired
- speech signal
- object tracking
- associative memory
- feed forward
- audio visual
- neural model
- visual processing
- mobile robot
- particle filtering
- video sequences
- cerebral cortex
- appearance model