A5069332014- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Cosmology and Gravitation Theories
- Black Holes and Theoretical Physics
- Visual perception and processing mechanisms
- Neural and Behavioral Psychology Studies
- Advanced MRI Techniques and Applications
- Mental Health Research Topics
- Face Recognition and Perception
- EEG and Brain-Computer Interfaces
- Advanced Neuroimaging Techniques and Applications
- Relativity and Gravitational Theory
- Gas Dynamics and Kinetic Theory
- Neuroscience and Music Perception
- Receptor Mechanisms and Signaling
- Atomic and Subatomic Physics Research
- Pulsars and Gravitational Waves Research
- Neural Networks and Applications
- Advanced Differential Geometry Research
- Geometric Analysis and Curvature Flows
- Heart Rate Variability and Autonomic Control
- Electrochemical Analysis and Applications
- Stochastic processes and financial applications
- Bioenergy crop production and management
- Schizophrenia research and treatment
University of Zurich
2016-2025
Institute for Biomedical Engineering
2016-2025
ETH Zurich
2016-2025
Bernstein Center for Computational Neuroscience Berlin
2009-2023
Austrian Research Centre for Forests
2020-2022
Wellcome Centre for Human Neuroimaging
2017-2020
University College London
2017-2020
National Hospital for Neurology and Neurosurgery
2020
Charité - Universitätsmedizin Berlin
2009-2015
University of Vienna
2002-2013
Physiological noise is one of the major confounds for fMRI. A common class correction methods model from peripheral measures, such as ECGs or pneumatic belts. However, physiological has not emerged a standard preprocessing step fMRI data yet due to: (1) varying quality recordings, (2) non-standardized formats and (3) lack full automatization processing modeling physiology, required large-cohort studies.We introduce PhysIO Toolbox recordings model-based correction. It implements variety...
The primate orbitofrontal cortex (OFC) is involved in reward processing, learning, and decision making. Research monkeys has shown that this region densely connected with higher sensory, limbic, subcortical regions. Moreover, a parcellation of the monkey OFC into two subdivisions been suggested based on its intrinsic anatomical connections. However, humans, little known about any functional except for rather coarse medial/lateral distinction. Here, we used resting-state fMRI combination...
An optimal choice among alternative behavioral options requires precise anticipatory representations of their possible outcomes. A fundamental question is how such anticipated outcomes are represented in the brain. Reward coding at level single cells orbitofrontal cortex (OFC) follows a more heterogeneous scheme than suggested by studies using functional MRI (fMRI) humans. Using combination multivariate pattern classification and fMRI we show that reward value sensory cues can be decoded...
This paper revisits the dynamic causal modelling of fMRI timeseries by replacing usual (Taylor) approximation to neuronal dynamics with a neural mass model canonical microcircuit. provides generative or laminar specific responses that can generate haemodynamic and electrophysiological measurements. In principle, this allows fusion (event related induced) responses. Furthermore, it enables Bayesian comparison competing hypotheses about physiologically plausible synaptic effects; for example,...
Visual imagery allows us to vividly imagine scenes in the absence of visual stimulation. The likeness perception suggests that they might share neural mechanisms brain. Here, we directly investigated whether and cortical representations. Specifically, used a combination functional magnetic resonance imaging (fMRI) multivariate pattern classification assess encode "category" objects their "location" similar fashion. Our results indicate fMRI response patterns for different categories imagined...
When people interact, affective information is transmitted between their brains. Modern imaging techniques permit to investigate the dynamics of this brain-to-brain transfer information. Here, we used information-based functional magnetic resonance (fMRI) flow brains senders and perceivers engaged in ongoing facial communication affect. We found that level neural activity within a distributed network perceiver's brain can be successfully predicted from same sender's brain, depending on...
Predictive coding (PC) posits that the brain uses a generative model to infer environmental causes of its sensory data and precision-weighted prediction errors (pwPEs) continuously update this model. While supported by much circumstantial evidence, experimental tests grounded in formal trial-by-trial predictions are rare. One partial exception is event-related potential (ERP) studies auditory mismatch negativity (MMN), where computational models have found signatures pwPEs related...
Abstract “Resting‐state” functional magnetic resonance imaging (rs‐fMRI) is widely used to study brain connectivity. So far, researchers have been restricted measures of connectivity that are computationally efficient but undirected, or effective estimates directed limited small networks. Here, we show a method recently developed for task‐fMRI—regression dynamic causal modeling (rDCM)—extends rs‐fMRI and offers both directional scalability whole‐brain First, simulations demonstrate rDCM...
While interoception is of major neuroscientific interest, its precise definition and delineation from exteroception continue to be debated. Here, we propose a functional distinction between based on computational concepts sensor-effector loops. Under this view, the classification sensory inputs as serving or depends loop they feed into, for control either bodily (physiological biochemical) environmental states. We explain utility perspective by examining perception skin temperature, one most...
The cortical control of eye movements is highly sophisticated. Not only can be made to the most salient target in a visual scene, but they also controlled by top-down rules as required for search or reading. area called frontal fields (FEF) has been shown play key role oculomotor transformations tasks requiring an movement pattern that not completely reactive, follows previously learned rule. layered, local circuit, which provides anatomical substrate all computation, studied extensively...
This article is devoted to a study of the asymptotic dynamics generic solutions Einstein vacuum equations toward spacelike singularity.Starting from fundamental assumptions about nature singularities, we derive in step-by-step manner cosmological billiard conjecture: show that represented by (randomized) sequences heteroclinic orbits on "billiard attractor".Our analysis rests two pillars: (i) dynamical systems formulation based conformal Hubblenormalized orthonormal frame approach expressed...
We analyze the dynamics of a class cosmological solutions Einstein–Vlasov equations. These equations describe an ensemble collisionless particles (which represent galaxies or clusters galaxies) that interact gravitatively through Einstein's general relativity. The models we consider are spatially homogeneous, Bianchi type IX, and locally rotationally symmetric (LRS). prove generic exhibit oscillatory behavior close to singularities (the “big bang” in past crunch” future); this is contrast...
The predicted reward of different behavioral options plays an important role in guiding decisions. Previous research has identified predictions prefrontal and striatal brain regions. Moreover, it been shown that the neural representation a is similar to actual outcome. However, remained unknown how these representations emerge over course learning they relate decision making. Here, we sought investigate using functional magnetic resonance imaging multivariate pattern classification. Using...
Abstract Knowledge about the principles that govern large‐scale neural representations of objects is central to a systematic understanding object recognition. We used functional magnetic resonance imaging (fMRI) and multivariate pattern classification investigate two such candidate principles: category preference location encoding. The former designates preferential activation distinct cortical regions by specific objects. latter refers information where in visual field particular located....