Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

Artificial intelligence systems that are designed with a biologically inspired architecture can simulate human brain activity before ever being trained on any data, according to new research from John ...

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These eras of brain architecture are marked by four major turning points, which occur around the ages of 9, 32, 66 and 83, ...

Photons are fast, stable, and easy to manipulate on chips, making photonic systems a promising platform for QCNNs. However, photonic circuits typically behave linearly, limiting the flexible ...

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, ...

Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...

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For decades, neuroscientists have been trying to pinpoint the neural underpinnings of behavior and decision-making. Past ...

By implementing an automated 3D cell segmentation process, researchers mapped neurons and muscle fibers at the single-cell ...