Locus ceruleus (LC)–derived norepinephrine (NE) drives network and behavioral adaptations to environmental saliencies by reconfiguring circuit functional connectivity, but the underlying synapse-level...

Dereddi, Djannatian, and colleagues show that oligodendrocytes use mechanical cues to measure axon size. The stretch-activated channel TMEM63A converts membrane tension into calcium signals, which cal...

Astrocytes in the basolateral amygdala dynamically track fear state and support fear memory retrieval and extinction.

Distinct endocannabinoids signal to either astrocytes or neurons, evoking contrasting regulation of synaptic function. This works reveals the high degree of complexity of neuronal and astrocytic signa...

ECMTB is coming to Graz, Austria in July 2026. Registration and Call for Contributions are open!

Following last year’s successful inaugural symposium at ISTA, we are proud to announce the ATgliaNet Symposium 2026, a one-day scientific meeting, with keynote speaker Prof. Leda Dimou (Medical Faculty, University of Ulm).

Artificial neural networks achieve striking performance but do not capture a prominent neural property. Cortical activity is organized by structured spatiotemporal dynamics, traveling waves (TW), whic...

Complex spiral traveling waves observed experimentally occurs across the cortex. The underlying mechanisms responsible for generating such mesoscopic activity are not well understood. Understanding ho...

The basolateral amygdala (BLA) has long been implicated in threat detection and the generation of anxiety states. While previous experiments have demonstrated the important role of BLA principal neuro...

An MIT study finds waves that ripple across a newly fertilized egg are similar to the waves in seemingly unrelated systems, from ocean and atmospheric circulations to quantum fluids.

YouTube video by Neuro Inspired Computational Elements Conference

In this NeuroView, Giacomo Indiveri discusses the origins and evolution of neuromorphic engineering, reflects on recent shifts toward digital and AI-centric approaches, and advocates for a revival of the field’s original principles, emphasizing analog, brain-inspired systems and the importance of fundamental neuroscience for future progress.