Page 5: Research news on Biological neural networks

Biological neural networks as a research area focus on the structure, dynamics, and computation of networks of real neurons in living organisms, integrating cellular neurophysiology, synaptic plasticity, and systems-level circuit organization. The field investigates how biophysical properties, connectivity patterns, and neuromodulatory influences give rise to information processing, learning, memory, and behavior. It spans experimental and theoretical approaches, including electrophysiology, imaging, connectomics, computational modeling, and data-driven analysis of large-scale neural recordings, with the dual goals of explaining brain function mechanistically and providing biologically grounded principles that inform artificial neural network design and neuroengineering applications.

New study reveals phonon properties of β-MoB₂ single crystal

According to research published in Physical Review Research, a research team led by Prof. Luo Xuan from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences discovered the existence of stacking faults ...

Developing nanoprobes to detect neurotransmitters in the brain

The animal brain consists of tens of billions of neurons or nerve cells that perform complex tasks like processing emotions, learning, and making judgments by communicating with each other via neurotransmitters. These small ...

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