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Panayiota Poirazi

Explore the profile of Panayiota Poirazi including associated specialties, affiliations and a list of published articles. Areas
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Articles 88
Citations 2623
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Recent Articles
1.
Sehgal M, Filho D, Kastellakis G, Kim S, Lee J, Shen Y, et al.
Nat Neurosci . 2025 Feb; 28(3):602-615. PMID: 39962274
Events occurring close in time are often linked in memory, and recent studies suggest that such memories are encoded by overlapping neuronal ensembles. However, the role of dendritic plasticity mechanisms...
2.
Chavlis S, Poirazi P
Nat Commun . 2025 Jan; 16(1):943. PMID: 39843414
Artificial neural networks (ANNs) are at the core of most Deep Learning (DL) algorithms that successfully tackle complex problems like image recognition, autonomous driving, and natural language processing. However, unlike...
3.
Chavlis S, Poirazi P
ArXiv . 2024 Sep; PMID: 39314509
Artificial neural networks (ANNs) are at the core of most Deep learning (DL) algorithms that successfully tackle complex problems like image recognition, autonomous driving, and natural language processing. However, unlike...
4.
Makarov R, Chavlis S, Poirazi P
bioRxiv . 2024 Sep; PMID: 39314451
Neurons rely on the interplay between dendritic morphology and ion channels to transform synaptic inputs into a sequence of somatic spikes. Detailed biophysical models with active dendrites have been instrumental...
5.
Morabito A, Zerlau Y, Dhanasobhon D, Berthaux E, Tzilivaki A, Moneron G, et al.
bioRxiv . 2024 Jul; PMID: 39026855
In the mammalian neocortex, GABAergic interneurons (INs) inhibit cortical networks in profoundly different ways. The extent to which this depends on how different INs process excitatory signals along their dendrites...
6.
Troullinou E, Tsagkatakis G, Losonczy A, Poirazi P, Tsakalides P
IEEE Trans Artif Intell . 2024 Mar; 5(1):80-91. PMID: 38500544
Impact Statement—: Imbalanced data classification is an actual and important issue in many real-world learning applications hampering most classification tasks. Fraud detection, biomedical imaging categorizing healthy people versus patients, and...
7.
Pagkalos M, Makarov R, Poirazi P
Curr Opin Neurobiol . 2024 Feb; 85:102853. PMID: 38394956
The brain is a remarkably capable and efficient system. It can process and store huge amounts of noisy and unstructured information, using minimal energy. In contrast, current artificial intelligence (AI)...
8.
Petousakis K, Park J, Papoutsi A, Smirnakis S, Poirazi P
Elife . 2023 Dec; 12. PMID: 38054403
Pyramidal neurons, a mainstay of cortical regions, receive a plethora of inputs from various areas onto their morphologically distinct apical and basal trees. Both trees differentially contribute to the somatic...
9.
Makarov R, Pagkalos M, Poirazi P
Curr Opin Neurobiol . 2023 Nov; 83:102812. PMID: 37980803
The brain is a highly efficient system that has evolved to optimize performance under limited resources. In this review, we highlight recent theoretical and experimental studies that support the view...
10.
Kastellakis G, Tasciotti S, Pandi I, Poirazi P
Front Behav Neurosci . 2023 Aug; 17:1212139. PMID: 37576932
Accumulating evidence from a wide range of studies, including behavioral, cellular, molecular and computational findings, support a key role of dendrites in the encoding and recall of new memories. Dendrites...