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Surveys

Latest AI and machine learning research in surveys for healthcare professionals.

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Where is the melody? Spontaneous attention orchestrates melody formation during polyphonic music listening

Humans seamlessly process multi-voice music into a coherent perceptual whole. Yet the neural strateg...

Variant effect prediction with reliability estimation across priority viruses

Viruses pose a significant threat to global health due to their rapid evolution, adaptability, and i...

Predicting individual learning trajectories in zebrafish via the free-energy principle

The free-energy principle has been proposed as a unified theory of brain function, and recent eviden...

Automated quantification of ecological interactions from video

Ecological interactions, such as predation, are fundamental events that underlie the flow and distri...

Control of a Bi-Stable Genetic System via Parallelized Reinforcement Learning

Achieving real-time control of genetic systems is critical for improving the reliability, efficiency...

The Use of Artificial Intelligence In Magnetic Resonance Imaging of Epilepsy: A Systematic Review and Meta-Analysis

The application of artificial intelligence (AI)/machine learning (ML) to MRI can be a powerful tool ...

Encoding neural representations of time-continuous stimulus-response transformations in the human brain with advanced deep neural networks

Human behavior arises from the continuous transformation of sensory input into goal-directed actions...

PATTY corrects open chromatin bias for improved bulk and single-cell CUT&Tag profiling

Precise profiling of epigenomes is essential for better understanding chromatin biology and gene reg...

The Rational Irrational: Better Learners Show Stronger Frequency Heuristics

Does favoring less valuable options that deliver more frequent rewards reflect flawed decision-makin...

Brain-like variability in convolutional neural networks reveals evidence-, uncertainty- and bias-driven decision-making

Even when stimuli and tasks are held constant, brain activity fluctuates markedly across trials, yet...

Improved interpretability in LFADS models using a learned, context-dependent per-trial bias

The computation-through-dynamics perspective argues that biological neural circuits process informat...

Computer Vision Methods for Spatial Transcriptomics: A Survey

Spatial transcriptomics (ST) enables the simultaneous measurement of gene expression and spatial loc...

Automated Facial Landmark Analysis vs. Manual Coding: Accuracy in Dog Emotional Expression Classification

Emotional expression in dogs is central to dog-human interactions. Reliable indicators are essential...

Dynamic and task-dependent decoding of the human attentional spotlight from MEG

Attention is a fundamental mechanism enabling the brain to overcome its limited capacity for paralle...

Rapidly Reconfigurable Dynamic Computing in Neural Networks with Fixed Synaptic Connectivity

Learning and memory in the brain’s neocortex have long been hypothesised to be primarily mediated by...

Computational Characterization of Decision Making During Trans-saccadic Visual Perception

When sampling visual information from the environment, humans execute fast sequential saccadic eye m...

Assessment of Visual Function in Mice Using Light/Dark Box and Multi-Feature Machine Learning

The light/dark box test can be used to assess visual function in rodents based on their spontaneous ...

Deep learning to overcome human error and bias in electrode position extraction in tDCS-fMRI studies

Combining transcranial direct current stimulation (tDCS) with fMRI enables investigation of stimulat...

Non-invasive vagus nerve stimulation modulates Pavlovian bias in a state-dependent manner

The vagus nerve transmits vital signals between organ systems of the body and the brain. Despite gro...

Learning a chemistry-aware latent space for molecular encoding and generation with a large-scale Transformer Variational Autoencoder

Searching for molecules optimizing certain properties remains a key challenge due to the vastness of...

DeepCAST-GWAS: Improving the Discovery of Genetic Associations Using Deep Learning-Based Regulatory SNP Prioritization

Genome-wide association studies (GWAS) have uncovered numerous variants linked to complex traits, ye...

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