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We used speech representations in state-of-the-art deep neural network (DNN) models to investigate neural coding from the auditory nerve to the speech cortex.
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2023/10/30 · We used speech representations in state-of-the-art deep neural network (DNN) models to investigate neural coding from the auditory nerve to the speech cortex.
We present a biologically motivated system for auditory signal processing and speech perception. In a novel approach, a model of the human cochlea is ...
A biologically realistic model of a uniform lateral inhibitory network (LIN) is shown capable of extracting from the complex spatio-temporal firing patterns ...
A biological auditory-neural model for speech processing ; ISBN · 1-56555-097-8 ; Argitalpen urtea · 1996 ; Orrialdeak · 686-690 ; Biltzarra · 10th European Simulation ...
2023/11/15 · The human auditory pathway is a highly sophisticated biological system that includes both physical structures and brain regions specialized ...
2022/03/15 · These results reveal convergence between representations learned in DNN models and the biological auditory pathway and provide new approaches to ...
We show that visual speech speeds up the cortical processing of auditory signals early (within 100 ms of signal onset).
2024/03/23 · To address this limitation, we introduce Spiking-LEAF, a learnable auditory front-end meticulously designed for SNN-based speech processing.
This study used convolutional neural networks (CNNs) to model the functional relationship between a large set of natural sounds and the activity of neurons in ...