"I'm not gonna do this again," we often say when faced with negative feedback, adverse effects, or disappointing outcomes. Thus, we attempt to learn from such negative experiences. This principle is ...
Computational models predict neural activity for re-establishing connectivity after stroke or injury
Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...
The neocortex constructs an internal representation of the world, but the underlying circuitry and computational principles remain unclear. Inspired by self-supervised learning algorithms, we propose ...
The entorhinal-hippocampal system constitutes a pivotal neural circuit in the central nervous system. It is critically involved in processing spatial learning and memory. However, the specific neural ...
Neural circuits associated with three cortical regions in cognitive generalization with different manifestations from different species. (A) Emotionrelated brain regions mainly project to PFC and OFC; ...
Researchers developed a brain-controlled gaming system that learns from the brain’s natural wiring, enabling fast BCI ...
Research indicates that repetition and distributed practice effectively fires and rewires the brain, thereby strengthening memory and improving learning potential. This approach aims to develop and ...
Spiking neural networks (SNNs) are artificial intelligence (AI) models inspired by how biological neurons communicate with ...
Scientists tracking blind Mexican cavefish uncover a striking evolutionary reversal where existing brain circuits are rewired via dopamine to flip behavioral responses to light.
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