A5020661745- Neural dynamics and brain function
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Lipid Membrane Structure and Behavior
- Spaceflight effects on biology
- Stress Responses and Cortisol
- Mitochondrial Function and Pathology
- Functional Brain Connectivity Studies
- Alzheimer's disease research and treatments
- Diffusion and Search Dynamics
- Cellular transport and secretion
- Neurological disorders and treatments
- Cell Image Analysis Techniques
- stochastic dynamics and bifurcation
- Advanced Memory and Neural Computing
- Ion channel regulation and function
- Force Microscopy Techniques and Applications
- Neurobiology and Insect Physiology Research
- Robotics and Automated Systems
- Pain Management and Placebo Effect
- Gene Regulatory Network Analysis
- Molecular Junctions and Nanostructures
École Polytechnique Fédérale de Lausanne
2021-2025
University of Geneva
2024-2025
Centre National de la Recherche Scientifique
2018-2023
Institut Pasteur
2018-2023
Sorbonne Université
2021-2023
Imagerie et Cerveau
2019
Gènes, synapses et cognition
2017-2018
A stunning example of synaptic diversity is the postsynaptic target cell-type-dependent difference in efficacy cortical networks. Here, we show that CA1 pyramidal cell (PC) to fast spiking interneuron (FSIN) connections have 10-fold larger release probability (Pv) than those on oriens lacunosum-moleculare (O-LM) interneurons. Freeze-fracture immunolabeling revealed different nano-topologies and coupling distances between Ca2+ channels sites (RSs) are not responsible for distinct Pv. Although...
Detailed single-neuron modeling is widely used to study neuronal functions. While cellular and functional diversity across the mammalian cortex vast, most of available computational tools focus on a limited set specific features characteristic single neuron. Here, we present generalized automated workflow for creation robust electrical models illustrate its performance by building cell rat somatosensory cortex. Each model based 3D morphological reconstruction ionic mechanisms. We use an...
Summary Cortical dynamics underlie many cognitive processes and emerge from complex multi-scale interactions, which are challenging to study in vivo . Large-scale, biophysically detailed models offer a tool can complement laboratory approaches. We present model comprising eight somatosensory cortex subregions, 4.2 million morphological electrically-detailed neurons, 13.2 billion local mid-range synapses. In silico tools enabled reproduction extension of experiments under single...
Abstract Dopamine (DA) affects voluntary movement by modulating basal ganglia function. In the classical model, DA depletion leads to overactivity of indirect pathway and excessively inhibits thalamus, resulting in hypokinesia. The contribution on striatopallidal synapses, an initial hub connecting striatum external globus pallidus (GPe), remains poorly understood because sparse innervation. Here, we combine optogenetic projection targeting, whole cell patch clamp recordings acute brain...
Cortical dynamics underlie many cognitive processes and emerge from complex multi-scale interactions, which are challenging to study in vivo . Large-scale, biophysically detailed models offer a tool can complement laboratory approaches. We present model comprising eight somatosensory cortex subregions, 4.2 million morphological electrically-detailed neurons, 13.2 billion local mid-range synapses. In silico tools enabled reproduction extension of experiments under single parameterization,...
Dopamine synapses play a crucial role in volitional movement and reward-related behaviors, while dysfunction of dopamine causes various psychiatric neurological disorders. Despite this significance, the true biological nature remains poorly understood. Here, we show that transmission is strongly correlated with GABA co-transmission across brain are structured function like GABAergic marked regional heterogeneity. In addition, GABAergic-like clustered on dendrites, at has distinct...
Abstract Synaptic transmission between neurons is governed by a cascade of stochastic calcium ion reaction–diffusion events within nerve terminals leading to vesicular release neurotransmitter. Since experimental measurements such systems are challenging due their nanometer and sub-millisecond scale, numerical simulations remain the principal tool for studying calcium-dependent neurotransmitter driven electrical impulses, despite limitations time-consuming calculations. In this paper, we...
Cortical dynamics underlie many cognitive processes and emerge from complex multi-scale interactions, which are challenging to study in vivo . Large-scale, biophysically detailed models offer a tool can complement laboratory approaches. We present model comprising eight somatosensory cortex subregions, 4.2 million morphological electrically-detailed neurons, 13.2 billion local mid-range synapses. In silico tools enabled reproduction extension of experiments under single parameterization,...
The timing and probability of synaptic vesicle fusion from presynaptic terminals is governed by the distance between voltage-gated Ca 2+ channels (VGCCs) sensors for exocytosis. This VGCC-sensor coupling can be determined fractional block vesicular release exogenous chelators, which depends on biophysical factors that have not been thoroughly explored. Using numerical simulations reaction diffusion, as well release, we examined contributions conductance, density, open duration VGCCs,...
Variability, which is known to be a universal feature among biological units such as neuronal cells, holds significant importance, as, for example, it enables robust encoding of high volume information in circuits and prevents hypersynchronizations. While most computational studies on electrophysiological variability were done with single-compartment neuron models, we instead focus the detailed biophysical models multi-compartmental morphologies. We leverage Markov chain Monte Carlo method...
Abstract Variability is a universal feature among biological units such as neuronal cells they enable robust encoding of high volume information in circuits and prevent hyper synchronizations epileptic seizures. While most computational studies on electrophysiological variability were done with simplified neuron models, we instead focus the detailed biophysical models neurons. With measures experimental variability, leverage Markov chain Monte Carlo method to generate populations electrical...
SUMMARY The nanoscale topographical arrangement of voltage-gated calcium channels (VGCC) and synaptic vesicles (SVs) determines strength plasticity, but whether distinct spatial distributions underpin diversity function is unknown. We performed single bouton Ca 2+ imaging, chelator competition, immunogold electron microscopic (EM) localization VGCCs the active zone (AZ) protein Munc13-1, at two cerebellar synapses. Unexpectedly, we found that weak synapses exhibited 3-fold more than strong...
Abstract Alzheimer's disease (AD) is becoming increasingly prevalent worldwide. It represents one of the greatest medical challenges as no pharmacologic treatments are available to prevent progression. Astrocytes play crucial functions within neuronal circuits by providing metabolic and functional support, regulating interstitial solute composition, modulating synaptic transmission. In addition these physiological functions, growing evidence points an essential role astrocytes in...
Cortical dynamics underlie many cognitive processes and emerge from complex multi-scale interactions, which are challenging to study in vivo . Large-scale, biophysically detailed models offer a tool can complement laboratory approaches. We present model comprising eight somatosensory cortex subregions, 4.2 million morphological electrically-detailed neurons, 13.2 billion local mid-range synapses. In silico tools enabled reproduction extension of experiments under single parameterization,...
Abstract Neuronal firing patterns are the consequence of precise variations in neuronal membrane potential, which themselves shaped by multiple ionic currents. In this study, we use biophysical models, statistical methods, and information theory to explore interaction between these currents neuron electrophysiological phenotype. We created numerous electrical models with diverse using Monte Carlo Markov Chain methods. By analyzing identified intricate relationships model parameters features....
Abstract Detailed single neuron modeling is widely used to study neuronal functions. While cellular and functional diversity across the mammalian cortex vast, most of available computational tools are dedicated reproduction a small set specific features characteristic neuron. Here, we present generalized automated workflow for creation robust electrical models illustrate its performance by building cell rat somatosensory (SSCx). Each model based on 3D morphological reconstruction ionic...
Abstract Alzheimer’s disease (AD) is becoming increasingly prevalent worldwide. It represents one of the greatest medical challenge as no pharmacologic treatments are available to prevent progression. Astrocytes play crucial functions within neuronal circuits by providing metabolic and functional support, regulating interstitial solute composition, modulating synaptic transmission. In addition these physiological functions, growing evidence points an essential role astrocytes in...