Thesis Defense: Role of synaptic topology in CA1 place cell encoding
Congratulations to Dr. Simone Tasciotti on a brilliant PhD defense! Simone successfully defended his thesis, “Role of synaptic topology in CA1 place cell encoding,” under the guidance of Dr. Panayiota Poirazi. A biologist by training, Simone did an amazing job mastering computational modeling for his PhD. You’ve been a fantastic teammate, Simone, and we are […]
Thesis Defense: A single-neuron perspective on brain function
Huge congratulations to Dr. Roman Makarov on an outstanding PhD defense! He successfully defended his PhD thesis, “A single-neuron perspective on brain function”, under the guidance of Dr. Panayiota Poirazi. Roman, you have been an amazing colleague, and we are so proud of your hard work! On to your next steps!
Celebrating a Successful EMBO Dendrites 2026 in Heraklion
An incredible week at EMBO Dendrites 2026 has come to an end! Hosting this amazing group of neuroscientists in Heraklion was an absolute pleasure. These past few days were the perfect mix of excellent science, collegiality and fun! We are walking away with fresh ideas and exciting new collaborations. Huge thanks to everyone who joined […]
Registration is still open for the EMBO Workshop on Dendrites!
REGISTRATION REMAINS OPEN! Join the EMBO Workshop on Dendrites for an immersive look at molecular, biophysical, anatomical, and computational neuroscience, as well as neuro-inspired AI. May 19-22, 2026 Heraklion, Greece Link: https://meetings.embo.org/event/26-dendrites See you in Crete!
Online Workshop: Introduction to Neuronal Modeling | April 28, 2026
Join us for a free online workshop on neuronal modeling! You will learn how to build, validate, and analyze neuronal models with active dendrites. We will begin with foundational concepts, including neuronal structure, biophysical properties, and input integration. We will then move to hands-on model implementation using DendroTweaks and Dendrify, two modeling tools developed in […]
New Publication: Dendritic nonlinearities mitigate communication costs
In this collaborative study, led by Xundong Wu, we demonstrated that dendritic nonlinearities increased the efficiency of artificial neural networks by reducing communication costs. This work opens new avenues for developing more efficient and less energy-consuming AI systems. Read the whole study here.
Thesis Defense: Synaptic Engram of Flexible Behavior by Dr. Ioanna Pandi
Many congratulations to Ioanna Pandi on a successful PhD defense on March 27th, 2026! Her thesis, “Synaptic Engram of Flexible Behavior”, under the supervision of Dr. Panayiota Poirazi, marks a significant achievement as she is the very first to complete an experimental project in our lab. Ioanna, you are a brilliant researcher, and we can’t […]
Dr. Poirazi participated in a #BrainAwarenessWeek event at the European Parliament
Hosted by MEP Dr. Angelika Winzig, “𝗔 𝗘𝘂𝗿𝗼𝗽𝗲𝗮𝗻 𝗩𝗶𝘀𝗶𝗼𝗻 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗕𝗿𝗮𝗶𝗻: 𝗖𝗼𝗼𝗿𝗱𝗶𝗻𝗮𝘁𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵, 𝗖𝗮𝗿𝗲 & 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻” took place on Wednesday 18th of March in the European Parliament’s Presidential Salon. High-level speakers from academia, industry, patient organisations and EU institutions underlined the urgency of anchoring the brain in the EU’s 10th Framework Programme and of advancing […]
New Review Article: A Dendro-Centric View of Cognition in the Behaving Brain
We’re diving deep into the world of dendritic computation, the cornerstone of modern neuroscience and the future of AI. Read our review of how active dendrites drive and shape everything from local spikes to complex memories and behavior.
IMBB Seminar: Dr. Bertalmio on “A Neural Model for V1 That Incorporates Dendritic Nonlinearities and Backpropagating Action Potentials”
It is a pleasure to host Dr. Marcelo Bertalmío from the Spanish National Research Council (CSIC) for an upcoming seminar. He will discuss his research on “A Neural Model for V1 That Incorporates Dendritic Nonlinearities and Backpropagating Action Potentials”. We look forward to seeing you there! When: Thursday, February 26th, 15:00 Location: Costas Fotakis Room, […]