Turning Body and Self Inside Out : Extero- and Interoceptive Signal Integration in Temporo-parietal and Insular Cortex

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We investigate reduced order models for acoustic and electromagnetic wave problems in parametrically defined domains. The parameter-to-solution maps are approximated following the so-called Galerkin POD-NN method, which combines the construction of a reduc ...

Hyperbolic conservation laws play a critical role in various fields, including aerodynamics, physics, and oceanography. However, traditional physics-informed neural networks (PINNs), despite their remarkable capabilities in solving partial differential equ ...

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Subcortical brain structures such as the basal ganglia or the thalamus are involved in regulating motor and cognitive behavior. However, their contribution to perceptual consciousness is still unclear, due to the inherent difficulties of recording subcorti ...

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Topographical disorientation refers to the selective inability to orient oneself in familiar surroundings. However, to date its neural correlates remain poorly understood. Here we use quantitative lesion analysis and a lesion network mapping approach in or ...

Transformer models such as GPT generate human-like language and are predictive of human brain responses to language. Here, using functional-MRI-measured brain responses to 1,000 diverse sentences, we first show that a GPT-based encoding model can predict t ...

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Here we provide the neural data, activation and predictions for the best models and result dataframes of our article "Task-driven neural network models predict neural dynamics of proprioception". It contains the behavioral and neural experimental data (cu ...

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Aim: Adolescents born very preterm (VPT;

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In the realm of point cloud scene understanding, particularly in indoor scenes, objects are arranged following human habits, resulting in objects of certain semantics being closely positioned and displaying notable inter-object correlations. This can creat ...

This article summarizes the recent advancements in the design, fabrication, and control of microrobotic devices for the diagnosis and treatment of brain disorders. With a focus on diverse actuation methods, we discuss how advancements in materials science ...

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The temporal variability of the thalamus in functional networks may provide valuable insights into the pathophysiology of schizophrenia. To address the complexity of the role of the thalamic nuclei in psychosis, we introduced micro-co-activation patterns ( ...

Turning Body and Self Inside Out : Extero- and Interoceptive Signal Integration in Temporo-parietal and Insular Cortex

Chat with Graph Search

Galerkin neural network-POD for acoustic and electromagnetic wave propagation in parametric domains

A coordinate transformation-based physics-informed neural networks for hyperbolic conservation laws

Comparison of Reservoir Computing topologies using the Recurrent Kernel approach

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Investigation of the role of spinal circuits in human motor control, from healthy to rehabilitation conditions

Subcortical correlates of consciousness with human single neuron recordings

Decoding electroencephalographic responses to visual stimuli compatible with electrical stimulation

The neural correlates of topographical disorientation-a lesion analysis study

Driving and suppressing the human language network using large language models

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

An immersive virtual reality tool for assessing left and right unilateral spatial neglect

Impact of a mindfulness-based intervention on neurobehavioral functioning and its association with large-scale brain networks in preterm young adolescents

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

Fast adaptation to rule switching using neuronal surprise

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

Small-scale robotic devices for medical interventions in the brain

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Thalamic contributions to psychosis susceptibility: Evidence from co-activation patterns accounting for intra-seed spatial variability (μCAPs)