… several source coding techniques and research works proposed previously. For instance,
in [5] a joint source and channel coding scheme is proposed using Text Embedding Neural …

… [25] propose that our neuronal system locates the sound source by mapping the binaural
location-specific sounds to two synchronous spiking patterns, which are derived from spatio-…

… training SNNs and wireless channel impairments. Recent work has demonstrated the potential
of joint sourcechannel coding based on conventional (non-spiking) neural networks. With …

… We characterized the population-level neural coding of … Here, we consistently observe stable
coding of simple features … coded over time, whereas neural coding of the ensemble mean is …

… years apply deep learning for channel coding, very few of … -time complexity of the neural
network architectures. Our main … family of RNN-driven neural codes that have three orders of …

… For this, we extend the recently proposed serial Turbo-autoencoder neural network (NN) …
that can compete with state-of-the-art short length channel codes or even outperform state-of…

… neural channel decoders for the existing widely used channel codes (such as LDPC, Polar
and BCH codes). … This paper focuses efficient neural channel decoder design for block codes, …

… Recent learning approaches for the relay channel [16], [17] considered a joint source-channel
setting, where the former focused on image transmission via joint source-channel coding, …

… Since the state-of-the-art recognition is achieved by applying deep neural networks (DNNs)
and it has recently been shown that channel codes and joint source-channel coding can …

… multichannel joint dereverberation and source separation with a neural source model. We
… of ILRMA-T with a deep neural network (DNN) serving as source model. The weights of the …