In this Q&A, SWC Seminar Speaker Dr Panayiota Poirazi, Research Director at IMBB, discusses her latest work on how dendrites facilitate efficiency in the brain.

Artificial neural networks typically ignore the complex, active branches found in biological neurons. This study challenges the assumption that these “dendritic nonlinearities” primarily boost computa...

As part of Brain Awareness Week 2026, the European Brain Council (EBC) joins forces under the Brain Health Mission with key strategic partners the European Academy of Neurology (EAN) and the Federatio...

Understanding how the brain generates perception and behavior remains a major challenge in neuroscience. Neurons communicate through synaptic inputs located on dendrites, complex, highly branched str…

An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and neu...

Understanding how the brain generates perception and behavior remains a major challenge in neuroscience. Neurons communicate through synaptic inputs located on dendrites, complex, highly branched str…

Dendrites critically influence single-neuron computations, but their role in neocortical GABAergic interneurons (INs) remains poorly understood. We fo…

Dissociated neuronal cultures on High-Density Multi-Electrode Arrays (HD-MEAs) provide a controllable in vitro platform to systematically investigate the formation, development, and functioning of neu...

The synaptic mechanisms driving feature selectivity in specific neuron types remains a fundamental and unresolved challenge in neuroscience. In hippocampal CA1 pyramidal neurons (PNs), the development...

A periscope into the broad-ranging applications of machine learning and how it is enabling new research and tools, reducing inequality and increasing quality ...

Past neuroscience studies suggest that memories of events that occurred at short time intervals from one another are often connected, via a process referred to as memory linking. While memory linking ...

Sehgal et al. show that branch-specific dendritic plasticity mechanisms in the retrosplenial cortex link memories acquired close in time such that, unlike independent memories, linked memories are enc...

Researchers at the Institute of Molecular Biology and Biotechnology of FORTH have developed a new type of artificial neural network (ANN) that incorporates features of biological dendrites. This innov...

Artificial neural networks, central to deep learning, are powerful but energy-consuming and prone to overfitting. The authors propose a network design inspired by biological dendrites, which offe...