This valuable manuscript addresses the longstanding question of how the brain maintains serial order in working memory, proposing a biologically grounded model based on synaptic augmentation ...

Students often train large language models (LLMs) as part of a group. In that case, your group should implement robust access ...

CRISPR construct to genetically ablate the GABA transporter GAT3 in the mouse visual cortex, with effects on population-level neuronal activity. This work is important, as it sheds light on how GAT3 ...

Feng, L., Zhao, C. and Sun, Y. (2021) Dual Attention-Based Encoder-Decoder A Customized Sequence-to-Sequence Learning for Soft Sensor Development. IEEE Transactions on Neural Networks and Learning ...

In this paper, we propose a deep learning based vehicle trajectory prediction technique which can generate the future trajectory sequence of surrounding vehicles in real time. We employ the ...

Detecting Alzheimer's disease (AD) accurately at an early stage is critical for planning and implementing disease-modifying treatments that can help prevent the progression to severe stages of the ...

Researchers from ETH Zurich analyze the efficacy of utilizing standard shallow feed-forward networks to emulate the attention mechanism in the Transformer model, a leading architecture for sequence-to ...