Summary: Researchers resolved a long-standing debate regarding “adaptive efficiency”, how the human brain allocates finite neural energy when processing predictable versus unexpected events. The study ...

Abstract: We propose a time-frequency fused underwater acoustic source localization method based on self-supervised learning with contrastive predictive coding. Firstly, two feature extractors are ...

Abstract: Sound source localization aims to localize objects emitting the sound in visual scenes. Recent works obtaining impressive results typically rely on contrastive learning. However, the common ...

Artificial Intelligence has become an integral part of our daily technology, influencing applications, decision-making, and content creation. Two major branches of AI are Generative AI and Predictive ...

Abstract: This study examines the integration of Contrastive Predictive Coding (CPC) with Spiking Neural Networks (SNN). While CPC learns the predictive structure of data to generate meaningful ...

Predictive coding (PC) is an influential theory in neuroscience, which suggests the existence of a cortical architecture that is constantly generating and updating predictive representations of ...

cDepartment of Physical Therapy, The Stanley Steyer School of Health Professions, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel dSagol School of Neuroscience, Tel Aviv University, Tel ...

In this post, the last of a five-part series, we will acquire an understanding of various theories that emphasize the importance of top-down signaling in shaping and enabling conscious perception.