Researchers have mapped the long-range synaptic connections involved in vocal learning in zebra finches, uncovering new details about how the brain organises learned vocalisations such as birdsong.

Researchers have mapped the long-range synaptic connections involved in vocal learning in zebra finches, uncovering new details about how the brain organises learned vocalisations such as birdsong.

Zebrafish have emerged as a vital vertebrate model system that bridges developmental biology and behavioural neuroscience. Their genetic tractability, optical transparency during early development and ...

IISc scientists map neural circuit in brain identifying complex connection between skin itch and stress: Nandita Vijayasimha, Bengaluru Thursday, February 26, 2026, 08:00 Hrs [IST ...

The left panel depicts direct fear, in which a mouse experiences an immediate threat such as a predator or footshocks, leading to robust defensive reactions and activation of survival circuits. The ...

Have you ever felt a chill run down your spine while watching someone else in distress? This phenomenon, known as vicarious fear, allows us to experience fear by observing others—even when we are not ...

The mysteries of the brain have captivated scientists for more than 100 years, most notably illustrated in the detailed drawings of neuroanatomist Santiago Ramón y Cajal. These drawings and his ...

Researchers have revealed how two neural circuits located in the brain's retrosplenial cortex are directly linked to spatial navigation and memory storage. This discovery could lead to more precise ...

A new 3D electronic mesh device allows scientists to record and stimulate activity across almost the entire surface of ...

In a groundbreaking achievement, Princeton University scientists have fully mapped the brain of an adult fruit fly, Drosophila melanogaster, unlocking new insights into how brains work. The feat marks ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...