This paper reports a useful low-cost platform for studying mosquito behaviors such as flight activity, sugar feeding, and host-seeking responses over the course of several weeks, and demonstrates key ...

This study presents a useful exploration of the complex relationship between structure and function in the developing human brain using a large-scale imaging dataset from the Human Connectome Project ...

A key driver of mammalian intelligence is the ability to represent incoming sensory information across multiple abstraction levels. For example, in the visual ventral stream, incoming signals are ...

Weakly-supervised temporal action localization (WTAL) aims to detect action instances given only video-level labels. To address the challenge, recent methods commonly employ a two-branch framework, ...

We base our datasets on the AVCA repository. The dataset structure is identical to AVCA and the dataset folder is called avgzsl_benchmark_non_averaged_datasets. The only difference is that we use ...

For centuries, great thinkers have struggled to understand how people represent a personal identity that changes over time. Insight may come from a basic principle of perception: as objects become ...

LSTM networks are designed to overcome long-term dependency issues in sequential data. RNNs utilise memory from previous inputs to affect current outputs, unlike traditional neural networks. The main ...

Many cognitive and behavioral tasks—such as interval timing, spatial navigation, motor control, and speech—require the execution of precisely-timed sequences of neural activation that cannot be fully ...