AI is widely thought to be poised to transform business, yet current perceptions of the scope
of this transformation may be myopic. Recent progress in natural language processing …

Departing from traditional linguistic models, advances in deep learning have resulted in a
new type of predictive (autoregressive) deep language models (DLMs). Using a self …

The neuroscience of perception has recently been revolutionized with an integrative
modeling approach in which computation, brain function, and behavior are linked across …

Fine-tuning pretrained contextual word embedding models to supervised downstream tasks
has become commonplace in natural language processing. This process, however, is often …

Biological and artificial information processing systems form representations that they can
use to categorize, reason, plan, navigate, and make decisions. How can we measure the …

Several deep neural networks have recently been shown to generate activations similar to
those of the brain in response to the same input. These algorithms, however, remain largely …

Encoding models provide a powerful framework to identify the information represented in
brain recordings. In this framework, a stimulus representation is expressed within a feature …

Several popular Transformer based language models have been found to be successful for
text-driven brain encoding. However, existing literature leverages only pretrained text …

Abstract Language models have been shown to be very effective in predicting brain
recordings of subjects experiencing complex language stimuli. For a deeper understanding …

Targeted at solving the problem in extracting the line spectrum features of ship radiated
noise in complex marine environments, this paper proposes a new deep convolutional …