Recent advances in understanding the brain’s dynamic functioning have been achieved through a wide range of experiments conducted across multiple levels of ...
A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...
According to the researchers: Childhood brain topology reaches a turning point at age 9, transitioning to the adolescent ...
During each of these phases, our brains show markedly different characteristics in their architecture, according to the new ...
Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...
Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...
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Could hyperdrive explain strange cosmic signals?
Physicists have spent decades trying to explain puzzling radio bursts and other odd signals that seem to arrive from deep ...
Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...
Abstract: With the development of wireless communication, specific emitter identification (SEI) used to enhance communication security is becoming increasingly important. Due to the inherent timing ...
Abstract: The nonlinear behavior of loudspeakers is of great interest in a number of audio processing algorithms, as it may have a detrimental effect on their performance. These algorithms may be ...
This valuable study uses mathematical modeling and analysis to address the question of how neural circuits generate distinct low-dimensional, sequential neural dynamics that can change on fast, ...
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