A5088985344- Neuroscience and Neuropharmacology Research
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Advanced Memory and Neural Computing
- Neural Networks and Applications
- Receptor Mechanisms and Signaling
- Neuroinflammation and Neurodegeneration Mechanisms
- Photoreceptor and optogenetics research
- Computational Drug Discovery Methods
- Cell Image Analysis Techniques
- Sleep and Wakefulness Research
- Phosphodiesterase function and regulation
- Neurogenesis and neuroplasticity mechanisms
Foundation for Research and Technology Hellas
2013-2025
University of Crete
2013-2017
FORTH Institute of Molecular Biology and Biotechnology
2014
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....
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...
Accumulating evidence from a wide range of studies, including behavioral, cellular, molecular and computational findings, support key role dendrites in the encoding recall new memories. Dendrites can integrate synaptic inputs non-linear ways, provide substrate for local protein synthesis facilitate orchestration signaling pathways that regulate plasticity. These capabilities allow them to act as second layer computation within neuron serve fundamental unit As such, are integral parts memory...
ABSTRACT 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...
SUMMARY Events occurring close in time are often linked memory, providing an episodic timeline and a framework for those memories. Recent studies suggest that memories acquired encoded by overlapping neuronal ensembles, but the role of dendritic plasticity mechanisms linking is unknown. Using activity-dependent labeling manipulation approaches, longitudinal one- two-photon imaging somatic compartments, computational modeling, we show memory not only dependent on ensemble overlap...
While the morphology of basal dendritic trees in cortical pyramidal neurons varies, functional implications this diversity are just starting to emerge. In layer 5 prefrontal cortex, for example, increased tree complexity determines recruitment these into circuits. Here, we use a modeling approach investigate whether and how mediates output neurons. We implemented 57 morphologies rat identified morphological types that were characterized by different response features, forming distinct types....
Neuromorphic computing is expanding by leaps and bounds through custom integrated circuits (digital analog), large scale platforms developed industry or government-funded projects (e.g. TrueNorth BrainScaleS, respectively). Whereas the trend for massive parallelism neuromorphic computation in order to solve problems, such as those that may appear machine learning deep algorithms, there substantial work on brain-like highly accurate model human brain. In a form of computing, spiking neural...
Summary Individual memories are often linked so that the recall of one triggers another. For example, contextual acquired close in time can be linked, and this is known to depend on temporary increase excitability drive overlap between dorsal CA1 (dCA1) hippocampal ensembles encoding memories. Here, we show Locus Coeruleus (LC) cells projecting dCA1 have a key permissive role memory linking, without affecting formation, effect mediated by dopamine not noradrenaline. Additionally, found LC...
Summary Individual memories are often linked so that the recall of one triggers another. For example, contextual acquired close in time can be linked, and this is known to depend on a temporary increase excitability drives overlap between dorsal CA1 (dCA1) hippocampal ensembles encoding memories. Here, we show Locus Coeruleus (LC) cells projecting dCA1 have key permissive role memory linking, without affecting formation, effect mediated by dopamine. Additionally, found LC neurons modulate...
Event Abstract Back to Computational modeling of memory allocation in neuronal and dendritic populations George I. Kastellakis1* Panayiota Poirazi1* 1 IMBB/FORTH, Greece Recent studies using molecular cellular approaches have established that is supported by distributed sparse neurons. The neurons synapses store a long term engram not random, but depends on properties such as excitability CREB activation. consolidation synaptic plasticity, which believed serve long-term storage, dependent...