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Extending peripersonal space representation without tool-use: evidence from a combined behavioral-computational approach

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Extending peripersonal space representation without tool-use: evidence from a combined behavioral-computational approach

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Effect of Medication and Freezing of Gait on Rambling and Trembling in Quiet Standing in Individuals With Parkinson's Disease

Biophysically accurate and machine learning-based surrogate models to optimize neuroprosthesis design and operation

Machine learning-enabled estimation of cardiac output from peripheral waveforms is independent of blood pressure measurement location in an in silico population

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

A Reconfigurable High-Dynamic Range ∆Σ Front-End with Event-Based Decimation for Bandwidth-Efficient Implantable Neural Interfaces

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

t-PiNet: A thermodynamics-informed hierarchical learning for discovering constitutive relations of geomaterials

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

Deep-learning models of the ascending proprioceptive pathway are subject to illusions

Fast adaptation to rule switching using neuronal surprise

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

Machine Learning Applications to Conditional Asset Pricing: Attention, CNNs, and Neural Tangent Kernels

Perspective on nonvolatile magnon-signal storage and in-memory computation for low-power consuming magnonics

A Study on Quantum Graph Neural Networks Applied to Molecular Physics

Teacher-Mediated and Student-Led Interaction with a Physics Simulation: Effects on the Learning Experience

Combining physics-based and data-driven models: advancing the frontiers of research with scientific machine learning

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

Optimizing Dynamic Aperture Studies with Active Learning

Hearing structure in music: An empirical inquiry into listening as representation and processing

Decoding electroencephalographic responses to visual stimuli compatible with electrical stimulation