A5065337520- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research
- Visual perception and processing mechanisms
- Evolutionary Algorithms and Applications
- Banking stability, regulation, efficiency
- Autism Spectrum Disorder Research
- Psychology of Moral and Emotional Judgment
- Tactile and Sensory Interactions
- Meta-analysis and systematic reviews
- Complex Systems and Decision Making
- Complex Systems and Time Series Analysis
- stochastic dynamics and bifurcation
- Attention Deficit Hyperactivity Disorder
- Social and Intergroup Psychology
- Metaheuristic Optimization Algorithms Research
- Artificial Immune Systems Applications
- Reading and Literacy Development
- Polyomavirus and related diseases
- Neuroscience and Neural Engineering
- Nonlinear Dynamics and Pattern Formation
- Tuberous Sclerosis Complex Research
Amsterdam Neuroscience
2017-2024
Vrije Universiteit Amsterdam
2014-2024
Laboratoire d’immunologie intégrative du cancer
2023
Cognitive Research (United States)
2020
Amsterdam UMC Location Vrije Universiteit Amsterdam
2015
Abstract Balance between excitation (E) and inhibition (I) is a key principle for neuronal network organization information processing. Consistent with this notion, excitation-inhibition imbalances are considered pathophysiological mechanism in many brain disorders including autism spectrum disorder (ASD). However, methods to measure E/I ratios human networks lacking. Here, we present method quantify functional ratio ( fE / I ) from oscillations, validate it healthy subjects children ASD. We...
The ascending modulatory systems of the brain stem are powerful regulators global state. Disturbances these implicated in several major neuropsychiatric disorders. Yet, how interact with specific neural computations cerebral cortex to shape perception, cognition, and behavior remains poorly understood. Here, we probed into effect two such systems, catecholaminergic (dopaminergic noradrenergic) cholinergic on an important aspect cortical computation: its intrinsic variability. To this end,...
Brain function depends on segregation and integration of information processing in brain networks often separated by long-range anatomic connections. Neuronal oscillations orchestrate such distributed through transient amplitude phase coupling, yet surprisingly, little is known about local network properties facilitating these functional Here, we test whether criticality, a dynamical state characterized scale-free oscillations, optimizes the capacity neuronal to couple or phase, transfer...
Mechanism-based treatments such as bumetanide are being repurposed for autism spectrum disorder. We recently reported beneficial effects on repetitive behavioral symptoms that might be related to regulating excitation-inhibition (E/I) balance in the brain. Here, we tested neurophysiological of and relationship clinical outcome variability investigated potential machine learning-based predictions meaningful improvement.Using modified linear mixed models applied intention-to-treat population,...
Publication bias promotes papers providing "significant" findings, thus incentivizing researchers to produce such findings. Prior studies suggested that researchers' focus on "p < .05" yields—intentional or unintentional—p-value misreporting, and excess p-values just below .05. To assess whether similar distortions occur in communication science, we extracted 5,834 test statistics from 693 recent science ISI papers, assessed prevalence of (1) misreported, (2) Results show 8.8% were...
Understanding why identical stimuli give differing neuronal responses and percepts is a central challenge in research on attention consciousness. Ongoing oscillations reflect functional states that bias processing of incoming signals through amplitude phase. It not known, however, whether the effect phase or stimulus depends long-term global dynamics networks generating oscillations. Here, we show, using computational model, ability to regulate response based pre-stimulus activity requires...
Neuronal excitation-inhibition (E/I) imbalances are considered an important pathophysiological mechanism in neurodevelopmental disorders. Preclinical studies on tuberous sclerosis complex (TSC), suggest that altered chloride homeostasis may impair GABAergic inhibition and thereby E/I-balance regulation. Correction of thus constitute a treatment target to alleviate behavioral symptoms. Recently, we showed bumetanide—a chloride-regulating agent—improved symptoms the open-label study Bumetanide...
Abstract The concept of excitation/inhibition (E/I) balance plays an important role in understanding brain function health and disease. We recently introduced algorithm to determine a functional E/I ratio based on the critical dynamics that emerge neuronal networks balancing between order disorder. Little, however, is known about frequency specificity regulation how measure it. Here, we optimized for measuring excitation-inhibition (fE/I) narrow ranges validated it computational model...
Machine learning techniques such as deep have been increasingly used to assist EEG annotation, by automating artifact recognition, sleep staging, and seizure detection. In lack of automation, the annotation process is prone bias, even for trained annotators. On other hand, completely automated processes do not offer users opportunity inspect models’ output re-evaluate potential false predictions. As a first step toward addressing these challenges, we developed Robin’s Viewer (RV),...
Abstract When reading, orthographic information is extracted not only from the word reader looking at, but also adjacent words in parafovea. Here we examined, using recently introduced OB1‐reader computational model, how can be processed parallel across multiple and integrated time space. Although a model of text here used it to simulate single‐word recognition experiments which processing has been shown play role by manipulating surrounding context flanker priming paradigms. In paradigms,...
Ongoing brain dynamics have been proposed as a type of "neuronal noise" that can trigger perceptual switches when viewing an ambiguous, bistable stimulus. However, no prior study has directly quantified how such neuronal noise relates to the rate percept reversals. Specifically, it remained unknown whether individual differences in complexity resting-state oscillations-as reflected long-range temporal correlations (LRTC)-are associated with stability. We hypothesized participants stronger...
ABSTRACT The ascending modulatory systems of the brainstem are powerful regulators global brain state. Disturbances these implicated in several major neuropsychiatric disorders. Yet, how interact with specific neural computations cerebral cortex to shape perception, cognition, and behavior remains poorly understood. Here, we probed into effect two such systems, catecholaminergic (dopaminergic noradrenergic) cholinergic on an important aspect cortical computation: its intrinsic variability....
Qualitative EEG abnormalities are common in Autism Spectrum Disorder (ASD) and hypothesized to reflect disrupted excitation/inhibition balance. To test this, we recently introduced a functional measure of network-level E/I ratio (fE/I). Here, applied fE/I other quantitative measures alpha oscillations from source-reconstructed data the EU-AIMS compilation 267 recordings children-adolescents adults with ASD 209 controls. We analyzed these alongside evaluating for qualitative ranging slowing...
Fate Agent EAs form a novel flavour or subclass in EC. The idea is to decompose the main loop of traditional evolutionary algorithms into three independently acting forces, implemented by so-called Agents, and create an process injecting these agents population candidate solutions. This paper introduces extension original concept, adding mechanism self-adapt mutation Breeder Agents. method improves behaviour EA on dynamically changing fitness landscapes.
Abstract Brain function depends on segregation and integration of information processing in brain networks often separated by long-range anatomical connections. Neuronal oscillations orchestrate such distributed through transient amplitude phase coupling, yet surprisingly little is known about local network properties facilitating these functional Here, we test whether criticality—a dynamical state characterized scale-free oscillations—optimizes the capacity neuronal to couple or phase,...
Abstract Machine learning techniques such as deep have been increasingly used to assist EEG annotation, by automating artifact recognition, sleep staging, and seizure detection. In lack of automation, the annotation process is prone bias, even for trained annotators. On other hand, completely automated processes do not offer users opportunity inspect models’ output re-evaluate potential false predictions. As a first step towards addressing these challenges, we developed Robin’s Viewer (RV),...