András Ecker
A5027828585- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Memory and Neural Mechanisms
- Advanced Memory and Neural Computing
- Neuroscience and Neural Engineering
- Bone Tissue Engineering Materials
- Spaceflight effects on biology
- Cell Image Analysis Techniques
- Stress Responses and Cortisol
- Cutaneous Melanoma Detection and Management
- Advanced Neuroimaging Techniques and Applications
- Elasticity and Material Modeling
- Sleep and Wakefulness Research
- Music Therapy and Health
- Neural Networks and Applications
- Traumatic Brain Injury and Neurovascular Disturbances
- Pain Management and Placebo Effect
- Machine Learning in Bioinformatics
- Gene Regulatory Network Analysis
- Neuroinflammation and Neurodegeneration Mechanisms
École Polytechnique Fédérale de Lausanne
2018-2025
Riga Technical University
2024
Newcastle University
2024
Pázmány Péter Catholic University
2021-2022
Research Network (United States)
2022
Hungarian Research Network
2021-2022
Laboratoire d'Informatique Fondamentale de Lille
2021
Czech Academy of Sciences, Institute of Experimental Medicine
2021
HUN-REN Institute of Experimental Medicine
2021
University College London
2018-2019
Recent developments in experimental techniques have enabled simultaneous recordings from thousands of neurons, enabling the study functional cell assemblies. However, determining patterns synaptic connectivity giving rise to these assemblies remains challenging. To address this, we developed a complementary, simulation-based approach, using detailed, large-scale cortical network model. Using combination established methods detected stimulus-evoked spiking activity 186,665 neurons. We studied...
Computational models are powerful tools for exploring the properties of complex biological systems. In neuroscience, data-driven neural circuits that span multiple scales increasingly being used to understand brain function in health and disease. But their adoption reuse has been limited by specialist knowledge required evaluate use them. To address this, we have developed Open Source Brain, a platform sharing, viewing, analyzing, simulating standardized from different regions species. Model...
Abstract Pyramidal cells (PCs) form the backbone of layered structure neocortex, and plasticity their synapses is thought to underlie learning in brain. However, such long-term synaptic changes have been experimentally characterized between only a few types PCs, posing significant barrier for studying neocortical mechanisms. Here we introduce model based on data-constrained postsynaptic calcium dynamics, show microcircuit that single parameter set sufficient unify available experimental...
Hippocampal place cells are activated sequentially as an animal explores its environment. These activity sequences internally recreated (‘replayed’), either in the same or reversed order, during bursts of (sharp wave-ripples [SWRs]) that occur sleep and awake rest. SWR-associated replay is thought to be critical for creation maintenance long-term memory. In order identify cellular network mechanisms SWRs replay, we constructed simulated a data-driven model area CA3 hippocampus. Our results...
Thalamoreticular circuitry plays a key role in arousal, attention, cognition, and sleep spindles, is linked to several brain disorders. A detailed computational model of mouse somatosensory thalamus thalamic reticular nucleus has been developed capture the properties over 14,000 neurons connected by 6 million synapses. The recreates biological connectivity these neurons, simulations reproduce multiple experimental findings different states. shows that inhibitory rebound produces...
Abstract The anatomy and physiology of monosynaptic connections in rodent hippocampal CA1 have been extensively studied recent decades. Yet, the resulting knowledge remains disparate difficult to reconcile. Here, we present a data‐driven approach integrate current state‐of‐the‐art on synaptic CA1, including axo‐dendritic innervation patterns, number synapses per connection, quantal conductances, neurotransmitter release probability, short‐term plasticity into single coherent resource. First,...
Abstract Simplified models of neural networks have demonstrated the importance establishing a reasonable tradeoff between memory capacity and fault-tolerance in cortical coding schemes. The intensity is mediated by level neuronal variability. Indeed, increased redundancy activity enhances robustness code at cost its efficiency. We hypothesized that heterogeneous architecture biological provides substrate to regulate this tradeoff, thereby allowing different subpopulations same network...
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...
The function of the neocortex is fundamentally determined by its repeating microcircuit motif, but also rich, interregional connectivity. We present a data-driven computational model anatomy non-barrel primary somatosensory cortex juvenile rat, integrating whole-brain scale data while providing cellular and subcellular specificity. consists 4.2 million morphologically detailed neurons, placed in digital brain atlas. They are connected 14.2 billion synapses, comprising local, mid-range...
The function of the neocortex is fundamentally determined by its repeating microcircuit motif, but also rich, interregional connectivity. We present a data-driven computational model anatomy non-barrel primary somatosensory cortex juvenile rat, integrating whole-brain scale data while providing cellular and subcellular specificity. consists 4.2 million morphologically detailed neurons, placed in digital brain atlas. They are connected 14.2 billion synapses, comprising local, mid-range...
Abstract The CA1 region of the hippocampus is one most studied regions rodent brain, thought to play an important role in cognitive functions such as memory and spatial navigation. Despite a wealth experimental data on its structure function, it has been challenging reconcile information obtained from diverse approaches. To address this challenge, we present community-driven, full-scale silico model rat that integrates broad range data, synapse network, including reconstruction principal...
The CA1 region of the hippocampus is one most studied regions rodent brain, thought to play an important role in cognitive functions such as memory and spatial navigation. Despite a wealth experimental data on its structure function, it has been challenging integrate information obtained from diverse approaches. To address this challenge, we present community-based, full-scale silico model rat that integrates broad range data, synapse network, including reconstruction principal afferents,...
Synaptic plasticity underlies the brain’s ability to learn and adapt. While experiments in brain slices have revealed mechanisms protocols for induction of between pairs neurons, how these synaptic changes are coordinated biological neuronal networks ensure emergence learning remains poorly understood. Simulation modeling emerged as important tools study plastic networks, but yet achieve a scale that incorporates realistic network structure, active dendrites, multi-synapse interactions, key...
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,...
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,...
Neurons are thought to act as parts of assemblies with strong internal excitatory connectivity. Conversely, inhibition is often reduced blanket no targeting specificity. We analyzed the structure excitation and in MICrONS $mm^{3}$ dataset, an electron microscopic reconstruction a piece cortical tissue. found that was structured around feed-forward flow large non-random neuron motifs information from small number sources larger potential targets. Inhibitory neurons connected specific...
The function of the neocortex is fundamentally determined by its repeating microcircuit motif, but also rich, interregional connectivity. We present a data-driven computational model anatomy non-barrel primary somatosensory cortex juvenile rat, integrating whole-brain scale data while providing cellular and subcellular specificity. consists 4.2 million morphologically detailed neurons, placed in digital brain atlas. They are connected 14.2 billion synapses, comprising local, mid-range...
Synaptic plasticity underlies the brain’s ability to learn and adapt. While experiments in brain slices have revealed mechanisms protocols for induction of between pairs neurons, how these synaptic changes are coordinated biological neuronal networks ensure emergence learning remains poorly understood. Simulation modeling emerged as important tools study plastic networks, but yet achieve a scale that incorporates realistic network structure, active dendrites, multi-synapse interactions, key...
Abstract The function of the neocortex is fundamentally determined by its repeating microcircuit motif, but also rich, interregional connectivity. We present a data-driven computational model anatomy non-barrel primary somatosensory cortex juvenile rat, integrating whole-brain scale data while providing cellular and subcellular specificity. consists 4.2 million morphologically detailed neurons, placed in digital brain atlas. They are connected 14.2 billion synapses, comprising local,...
ABSTRACT Neurons are thought to act as parts of assemblies with strong internal excitatory connectivity. Conversely, inhibition is often reduced blanket no targeting specificity. We analyzed the structure excitation and in MICrONS mm 3 dataset, an electron microscopic reconstruction a piece cortical tissue. found that was structured around feed-forward flow large non-random neuron motifs information from small number sources larger potential targets. Inhibitory neurons connected specific...
Abstract Computational models are powerful tools for investigating brain function in health and disease. However, biologically detailed neuronal circuit complex implemented a range of specialized languages, making them inaccessible opaque to many neuroscientists. This has limited critical evaluation by the scientific community impeded their refinement widespread adoption. To address this, we have combined advances standardizing models, open source software development web technologies...
Synaptic plasticity underlies the brain's ability to learn and adapt. While experiments in brain slices have revealed mechanisms protocols for induction of between pairs neurons, how these synaptic changes are coordinated biological neuronal networks ensure emergence learning remains poorly understood. Simulation modeling emerged as important tools study plastic networks, but yet achieve a scale that incorporates realistic network structure, active dendrites, multi-synapse interactions, key...