Page 2: 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.

Looking deep into the eyes of insects

Researchers from the University of Konstanz have studied how insect brains take in complex light stimuli and process them in parallel. They are the first to have found evidence that information is processed in different layers ...

Pain research reveals new detail of how synapses strengthen

Researchers from The University of Texas at Dallas' Center for Advanced Pain Studies (CAPS) and their colleagues have made a fundamental discovery about a key mechanism that enables nervous system connections to strengthen.

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