Welcome to the website of the Computational Biology Lab

About our research

Computational Neuroscience Projects

We are interested in understanding how dendrites and their integrative properties contribute to learning and memory functions. Towards this goal, we build abstract mathematical as well as detailed biophysical models of neural cells and circuits across multiple brain regions (hippocampus, amygdala, PFC) and abstraction levels (single neurons, microcircuits, neuronal networks). We then use the models to study how the anatomical, biophysical and plasticity properties of dendrites contribute to memory functions.

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Bioinformatics Projects

We focus on developing computational methods and tools for (a) analyzing large-scale gene expression data related to human cancer in search for gene markers and disease sub-categories, (b) identifying regulatory elements such as miRNA precursors and their targets in whole genomes of plants and mammals, (c) building theoretical models of gene regulatory networks. Our methodological approaches include (a) novel clustering and feature selection algorithms, (b) machine learning algorithms such as artificial neural networks, hidden Markov models etc.

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Latest News

IMBB-FORTH's Research Dr. Poirazi elected as a member of EMBO

Dr. Poirazi joins 65 other outstanding researchers who have been newly-elected to the organisation which promotes excellence in the life sciences. There are currently 1700 EMBO members and more than 59 Nobel laureates amongst the membership. 
 

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The perfect grant and how to get it

Nature journal just published an opinion article authored by Dr. Poirazi on the hassles of financial support in academia and the pursuit of ideal grant schemes

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IMBB researchers probe the role of dendrites in the way memories are stored in the brain

Our lab, in collaboration with a research team at the Columbia University, just published a research article in Neuron journal on the role of mossy cells in environment discrimination in awake, behaving animals

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Dendrites of dentate gyrus granule cells contribute to pattern separation by controlling sparsity

Check out our new paper on pattern separation that was just published in Hippocampus! 

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Linking Memories across Time via Neuronal and Dendritic Overlaps in Model Neurons with Active Dendrites

George Kastellaki's research has been published in Cell Reports under the title: "Linking Memories across Time via Neuronal and Dendritic Overlaps in Model Neurons with Active Dendrites". Here is the IMBB-FORTH press:

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Funding