A5045404296- Neural dynamics and brain function
- Sleep and Wakefulness Research
- Memory and Neural Mechanisms
- Neuroscience and Music Perception
- Receptor Mechanisms and Signaling
- Neuroscience and Neuropharmacology Research
- Advanced Memory and Neural Computing
- Nicotinic Acetylcholine Receptors Study
- Photoreceptor and optogenetics research
- Mind wandering and attention
- Topic Modeling
- Functional Brain Connectivity Studies
- Neuroscience, Education and Cognitive Function
- Natural Language Processing Techniques
- Neurotransmitter Receptor Influence on Behavior
- Mental Health Research Topics
- Sleep and related disorders
- Mental Health via Writing
- Digital Mental Health Interventions
- Radiology practices and education
University of Zurich
2025
University of Bern
2021-2024
Kirchhoff (Germany)
2023
Heidelberg University
2023
University of Cambridge
2021
SPPIN - Saints-Pères Paris Institute for Neurosciences
2019-2020
Université Paris Cité
2019-2020
Institut de Psychiatrie et Neurosciences de Paris
2019-2020
Centre National de la Recherche Scientifique
2019-2020
Institut de Biologie de l'École Normale Supérieure
2019
The widespread use of chest X-rays (CXRs), coupled with a shortage radiologists, has driven growing interest in automated CXR analysis and AI-assisted reporting. While existing vision-language models (VLMs) show promise specific tasks such as report generation or abnormality detection, they often lack support for interactive diagnostic capabilities. In this work we present RadVLM, compact, multitask conversational foundation model designed interpretation. To end, curate large-scale...
Humans and other animals learn to extract general concepts from sensory experience without extensive teaching. This ability is thought be facilitated by offline states like sleep where previous experiences are systemically replayed. However, the characteristic creative nature of dreams suggests that learning semantic representations may go beyond merely replaying experiences. We support this hypothesis implementing a cortical architecture inspired generative adversarial networks (GANs)....
Synaptic efficacy is subjected to activity-dependent changes on short- and long time scales. While short-term decay over minutes, long-term modifications last from hours up a lifetime are thought constitute the basis of learning memory. Both plasticity mechanisms have been studied extensively but how their interaction shapes synaptic dynamics little known. To investigate both together control induction depression potentiation, we used numerical simulations mathematical analysis calcium-based...
Semantic representations in higher sensory cortices form the basis for robust, yet flexible behavior. These are acquired over course of development an unsupervised fashion and continuously maintained organism's lifespan. Predictive processing theories propose that these emerge from predicting or reconstructing inputs. However, brains known to generate virtual experiences, such as during imagination dreaming, go beyond previously experienced Here, we suggest experiences may be just relevant...
<title>Abstract</title> Recent advances in artificial intelligence, particularly large language models (LLMs), show promise for mental health applications, including the automated detection of depressive symptoms from natural language. We fine-tuned a German BERT-based LLM to predict individual Montgomery-Åsberg Depression Rating Scale (MADRS) scores using regression approach across nine symptom items (0–6 severity scale), based on structured clinical interviews with transdiagnostic patients...
The importance of sleep for healthy brain function is widely acknowledged. However, it re- mains mysterious how the sleeping brain, disconnected from outside world and plunged into fantastic experiences dreams, actively learning. In this perspective article, we review a computational approach inspired by modern artificial intelligence that suggests role dreams occurring during rapid-eye-movement (REM) sleep. REM are characterized an adver- sarial process between feedforward feedback pathways...
The importance of sleep for healthy brain function is widely acknowledged. However, it remains unclear how the internal generation dreams might facilitate cognitive processes. In this perspective we review a computational approach inspired by artificial intelligence that proposes framework occurring during rapid-eye-movement (REM) can contribute to learning and creativity. framework, REM are characterized an adversarial process that, against dream reality, tell discriminator network classify...
The importance of sleep for healthy brain function is widely acknowledged. However, it remains unclear how the internal generation dreams might facilitate cognitive processes. In this perspective, we review a computational approach inspired by artificial intelligence that proposes framework occurring during rapid-eye-movement (REM) can contribute to learning and creativity. framework, REM are characterized an adversarial process that, against dream reality, tells discriminator network...
Dopamine (DA) neurons in the ventral tegmental area (VTA) are thought to encode reward prediction errors (RPE) by comparing actual and expected rewards. In recent years, much work has been done identify how brain uses computes this signal. While several lines of evidence suggest interplay DA inhibitory interneurons VTA implements RPE computation, it still remains unclear learn key quantities, for example amplitude timing primary rewards during conditioning tasks. Furthermore, endogenous...
Abstract Dopamine (DA) neurons in the ventral tegmental area (VTA) are thought to encode reward prediction errors (RPE) by comparing actual and expected rewards. In recent years, much work has been done identify how brain uses computes this signal.While several lines of evidence suggest interplay he DA inhibitory interneurons VTA implements RPE computaiton, it still remains unclear learn key quantities, for example amplitude timing primary rewards during conditioning tasks. Furthermore,...
Abstract Synaptic efficacy is subjected to activity-dependent changes on short- and long time scales. While short-term decay over minutes, long-term modifications last from hours up a lifetime are thought constitute the basis of learning memory. Both plasticity mechanisms have been studied extensively but how their interaction shapes synaptic dynamics little known. To investigate both together control induction depression potentiation, we used numerical simulations mathematical analysis...
Semantic representations in higher sensory cortices form the basis for robust, yet flexible behavior. These are acquired over course of development an unsupervised fashion and continuously maintained organism's lifespan. Predictive learning theories propose that these emerge from predicting or reconstructing inputs. However, brains known to generate virtual experiences, such as during imagination dreaming, go beyond previously experienced Here, we suggest experiences may be just relevant...
Humans and other animals learn to extract general concepts from sensory experience without extensive teaching. This ability is thought be facilitated by offline states like sleep where previous experiences are systemically replayed. However, the characteristic creative nature of dreams suggests that learning semantic representations may go beyond merely replaying experiences. We support this hypothesis implementing a cortical architecture inspired generative adversarial networks (GANs)....