A5088598187- Neural dynamics and brain function
- Neuroscience and Neuropharmacology Research
- Memory and Neural Mechanisms
- Advanced Memory and Neural Computing
- Neural Networks and Applications
- Cell Image Analysis Techniques
- Neuroscience and Neural Engineering
- MicroRNA in disease regulation
- Photoreceptor and optogenetics research
- Brain Tumor Detection and Classification
- Gene expression and cancer classification
- Receptor Mechanisms and Signaling
- RNA modifications and cancer
- Neuroinflammation and Neurodegeneration Mechanisms
- Bioinformatics and Genomic Networks
- Neurobiology and Insect Physiology Research
- Cancer-related molecular mechanisms research
- EEG and Brain-Computer Interfaces
- Neural Networks and Reservoir Computing
- Functional Brain Connectivity Studies
- RNA and protein synthesis mechanisms
- AI in cancer detection
- Gene Regulatory Network Analysis
- Machine Learning in Bioinformatics
- Visual perception and processing mechanisms
Foundation for Research and Technology Hellas
2016-2025
FORTH Institute of Molecular Biology and Biotechnology
2012-2024
Institute of Molecular Biology and Biotechnology
2009-2021
University of Crete
2009-2016
FENS Kavli Network of Excellence
2016
Alexander Fleming Biomedical Sciences Research Center
2009
Hella (Germany)
2008
University of Cyprus
2005
University of Southern California
1999-2001
The active electrical properties of dendrites shape neuronal input and output are fundamental to brain function. However, our knowledge has been almost entirely acquired from studies rodents. In this work, we investigated the layer 2 3 (L2/3) pyramidal neurons human cerebral cortex ex vivo. these neurons, discovered a class calcium-mediated dendritic action potentials (dCaAPs) whose waveform effects on have not previously described. contrast typical all-or-none potentials, dCaAPs were...
The role of amyloid beta (Aβ) in brain function and the pathogenesis Alzheimer's disease (AD) remains elusive. Recent publications reported that an increase Aβ concentration perturbs pre-synaptic release hippocampal neurons. In particular, it was shown vitro is endogenous regulator synaptic transmission at CA3-CA1 synapse, enhancing its probability. How this modulator influences neuronal output during physiological stimulation patterns, such as those elicited vivo, still unknown. Using a...
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 biological brains who similar in a very efficient manner, DL require large number trainable parameters, making them energy-intensive prone to overfitting. Here, we show new ANN architecture incorporates structured connectivity restricted sampling properties dendrites...
Neurofibromatosis type I (NF1) is one of the most common single-gene causes learning disabilities. Here, we use behavioral working memory probes and electrophysiological studies in a mouse model NF1 ( Nf1 heterozygous null mutants; +/− ) to demonstrate that i Neurofibromin regulates prefrontal striatal inhibitory networks, specifically activity-dependent GABA release ii required for performance, with inhibition-dependent deficits seen mice. We find increased inhibition medial cortex (mPFC)...
Modeling studies suggest that clustered structural plasticity of dendritic spines is an efficient mechanism information storage in cortical circuits. However, why new occur specific locations and how their formation relates to learning memory (L&M) remain unclear. Using vivo two-photon microscopy, we track spine dynamics retrosplenial cortex before, during, after two forms episodic-like find turnover before predicts future L&M performance, as well the localization rates clustering....
Background MicroRNAs (miRNAs) are small, single stranded RNAs with a key role in post-transcriptional regulation of thousands genes across numerous species. While several computational methods currently available for identifying miRNA genes, accurate prediction the mature remains challenge. Existing approaches fall short predicting location miRNAs but also finding functional strand(s) precursors. Methodology/Principal Findings Here, we present tool that incorporates Naive Bayes classifier to...
Highlights•Network model with active dendrites and synaptic, somatic, homeostatic plasticity•Linked memories are stored in overlapping populations of neurons•Linked share synaptic clusters common dendritic branches•The locus protein synthesis or capture shapes the structure memory traceSummaryMemories believed to be distributed neuronal assemblies through activity-induced changes intrinsic properties. However, specific mechanisms by which different become associated linked remain a mystery....
Interneurons are critical for the proper functioning of neural circuits. While often morphologically complex, their dendrites have been ignored decades, treating them as linear point neurons. Exciting new findings reveal non-linear dendritic computations that call a theory interneuron arithmetic. Using detailed biophysical models, we predict FS basket cells in both hippocampus and prefrontal cortex come two flavors: supralinear, supporting local sodium spikes within large-volume branches...
Computational modeling has been indispensable for understanding how subcellular neuronal features influence circuit processing. However, the role of dendritic computations in network-level operations remains largely unexplored. This is partly because existing tools do not allow development realistic and efficient network models that account dendrites. Current spiking neural networks, although efficient, are usually quite simplistic, overlooking essential properties. Conversely, with...
The lateral entorhinal cortex (LEC) provides multisensory information to the hippocampus, directly distal dendrites of CA1 pyramidal neurons. LEC neurons perform important functions for episodic memory processing, coding contextually salient elements an environment or experience. However, we know little about functional circuit interactions between and hippocampus. We combine mapping computational modeling examine how long-range glutamatergic projections modulate compartment-specific...
The brain is a remarkably capable and efficient system. It can process store huge amounts of noisy unstructured information using minimal energy. In contrast, current artificial intelligence (AI) systems require vast resources for training while still struggling to compete in tasks that are trivial biological agents. Thus, brain-inspired engineering has emerged as promising new avenue designing sustainable, next-generation AI systems. Here, we describe how dendritic mechanisms neurons have...