A neural probe to sample brain fluid in nanoliter volumes for quantitative molecular studies

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In this paper, we study sampling from a posterior derived from a neural network. We propose a new probabilistic model consisting of adding noise at every pre- and post-activation in the network, arguing that the resulting posterior can be sampled using an ...

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Neuroprostheses have been used clinically for decades, to help restore or preserve brain functions, when pharmaceutical treatments are inefficient. Although great progress in the field has been made over the years to interface with the nervous system, surf ...

A neural probe to sample brain fluid in nanoliter volumes for quantitative molecular studies

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Development of a blind control occupant behaviour model (BC-OBM) based on contextual and time-related factors through supervised machine learning approaches

Transfer learning-based approach for evaluating residual stiffness in carbon fiber reinforced composites and adhesives

Large-scale georeferenced neuroimaging and psychometry data link the urban environmental exposome with brain health

Gibbs sampling the posterior of neural networks

Organ Neuroprosthetics: Connecting Transplanted and Artificial Organs with the Nervous System

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

Quench Detection and Temperature Measurement With Fiber Optic Sensors

Multiscale Porosity Microfluidics to Study Bacterial Transport in Heterogeneous Chemical Landscapes

Moulding and Microfluidic Wet Spinning of the Soft Polymer Optical Fibers for Sensory Applications

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

Improved microfluidic transcriptome based screening methods

Modeling, fabrication and validation of 3D neural interfaces for peripheral nerves and brain organoids

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Joint Subject-Identification and Task-Decoding From Inferred Functional Brain Graphs Via a Multi-Task Neural Network

Neurobiological and metabolic basis of motivation and effort-based decision-making - A human 1H-MRS, fMRI and machine learning study

Identification of typical district configurations: A two-step global sensitivity analysis framework

Small-scale robotic devices for medical interventions in the brain

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

Integrated Wireless Power, Data Communication, and Thermal Sensing System for Autonomous Multisite Brain Implants

Unraveling behavior and cortical signals to guide the development of soft neuroprostheses for auditory restoration and spreading depolarization