Page 4: 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.

A new feature discovered in radioactive lanthanum isotopes

Researchers at the Accelerator Laboratory of the University of Jyväskylä, Finland, precisely measured atomic masses of radioactive lanthanum isotopes and found an interesting feature in their nuclear binding energies. The ...

Brain delays could be a computational advantage, researchers say

Biological components are less reliable than electrical ones, and rather than instantaneously receive the incoming signals, the signals arrive with a variety of delays. This forces the brain to cope with said delays by having ...

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