Join our team: PhD / Postdoc position available!!
We are pleased to announce that we looking for a talented and enthusiastic scientist to join the Laboratory of Dr. Panayiota Poirazi at IMBB-FORTH as a postdoctoral fellow or as a PhD student. About the project The successful applicant will work on a multidisciplinary collaborative project aiming to determine the importance of cortical engram cells […]
Dendrify: a new framework for adding dendrites to spiking neural networks
Deciphering the secrets of the brain is considered to be one of the most important scientific endeavours of the 21st century. A better understanding of the mechanisms underlying brain function will contribute both to research into the treatment of neurological diseases and to the field of Artificial Intelligence, which has become an integral part of […]
Long-range cortical inputs drive local dendritic spikes in hippocampal pyramidal neurons
We are excited to share our latest study in collaboration with the lab of Jayeeta Basu at NYU. In this work we joined forces to study how the brain conveys important environmental cues like novelty and reward. Using dendritic electrophysiology, optogenetics and computational modeling we uncovered a disinhibitory microcircuit that gates dendritic spikes in CA1 pyramidal neurons […]
Supporting Mediterranean women in science
With the aim of giving a current image of Mediterranean science, the Seneca Foundation – Science and Technology Agency of the Region of Murcia offers the public its third exhibition on women scientists, this time as part of the European project MEDNIGHT – Mediterranean Researchers’ Night. It is a collection of short biographies with new, […]
Congratulations to Dr. Poirazi for her election as Secretary General of the Federation for European Neuroscience Societies (FENS)!
The recent FENS forum of 2022 saw a “passing of the torch” for FENS leadership. It is our great pleasure to congratulate Dr. Poirazi, now elected as Secretary General, alongside Prof. Ole Kiehl (president elect) and Assoc. Prof. Aniko Korosi (treasurer elect)! See the press releases from FENS and FORTH for more details.
Uncovering the role of neuromodulation in memory linking
We are excited to share our latest study in collaboration with the lab of Alcino Silva at UCLA. This work, published in NEURON, explores the role of neuromodulation by dopamine to the linking of memories. Memories are often linked, meaning that recall of one memory triggers the recall of another. In this study, UCLA scientists A. Chowdhury, A. […]
FENS 2022 plenary lecture: Learning with dendrites in brain and machines
Dr Poirazi recently represented Greece and IMBB-FORTH as a plenary speaker in FENS Forum 2022, the largest European Neuroscience meeting that took place this year in Paris . In her presentation, she discussed how computational modelling has helped us illuminate dendritic functions and their role in cognitive processes. She also presented the main findings of […]
Dendrites meet The Economist
How neurons really work is slowly being elucidated. That will help both Medicine and the search for better Artificial Intelligence. A recent article from The Economist lists our lab’s work among pioneering studies with far reaching implications in the fields of Neuroscience and Artificial Intelligence!! For more information click here.
Check out this tribute to dendrites by leading experts of the field
A new Special Issue is available in Neuroscience: Dendritic contributions to biological and artificial computations, by guest editors Dr. Yiota Poirazi & Dr. Jackie Schiller. This SI includes fascinating articles by numerous leading experts on dendritic research. This SI was inspired by and will be featured at the EMBO Workshop on Dendrites, that will take […]
Butterflies in the brain: Yiota Poirazi’s latest interview from the EINSTEIN foundation
Neuroscientist and Einstein Visiting Fellow Panayiota Poirazi builds computational models of the tree-like dendrites that exist in the brain to better understand their role and to translate their functions into artificial knowledge. One of her aims is to teach algorithms to base their learning on prior knowledge in the same way that humans do. Read […]