The human visual system provides us with a rich and meaningful percept of the world, transforming retinal signals into visuo-semantic representations. For a model of these representations, here we ...

Abstract: In this brief, the encoding-decoding-based state estimation problem is investigated for a class of state-saturated systems under buffer-aided mechanism where the wireless communication is ...

(a) Left: encoding of blink information, the schematic indicates that the brain generates specific commands and stimulates the eyes to blink accordingly when a specific situation is encountered.

We propose an end-to-end deep neural encoder-decoder model to encode and decode brain activity in response to naturalistic stimuli using functional magnetic resonance imaging (fMRI) data. Leveraging ...

ABSTRACT: With the development of globalization and the advancement of technology, the exchanges and communication within multiple cultures become increasingly close and frequent. However, the ...

ABSTRACT: With the development of globalization and the advancement of technology, the exchanges and communication within multiple cultures become increasingly close and frequent. However, the ...

In what might be the most unexpectedly cool crossover of tech and marine biology in 2025, Google just launched DolphinGemma, an AI model designed to decode dolphin vocalizations. Yes, you read that ...

Abstract: This paper focuses on the privacy-preserving security control issue for cyber-physical systems (CPSs) via an encoding-decoding communication scheme (EDCS). To considerably contemplate the ...

This study presents a useful method for the extraction of behaviour-related activity from neural population recordings based on a specific deep learning architecture - a variational autoencoder.