AIMC Journal:
bioRxiv

Showing 651 to 660 of 4938 articles

Comparison of multiple video tracking-based behavioral summary approaches for compound discrimination

bioRxiv
The rapidly increasing number of video tracking-based behavioral summary tools and methods raises the question as to the most suitable approaches for pharmacological fingerprinting in pre-clinical research. We have recently shown that social context ...

Age-Related Changes in the Neural Dynamics of Speech Production Following Noninvasive Brain Stimulation

bioRxiv
Non-nvasive brain stimulation is a promising technique to restore neural function in older adults by enhancing cortical excitability. In the present study, we examined the behavioral and neural effects of three stimulation protocols over the suppleme...

Beyond Expression Prediction: Benchmarking Differential Expression Classification in Single-Cell Perturbation Models

bioRxiv
Accurate predictions of transcriptomic responses to genetic perturbations could unlock our understanding of gene functions and regulatory networks. While a growing number of methods and benchmarks target this task, existing evaluations focus on mean ...

MetaClaw: an auditable AI agent for end-to-end, multi-directional metagenomic and multi-omics analysis

bioRxiv
Omics studies increasingly depend on long, multi-directional workflows, making auditability as important as individual analytical tools. Existing LLM-driven bioinformatics agents automate parts of this work, but few have been tested for conclusion-le...

Simulating neural network criticality and resource dynamics with Rydberg gases

bioRxiv
Efficient operation of neural networks has been linked to criticality in their underlying non-equilibrium excitation dynamics. However, obtaining experimental evidence of this conjecture remains challenging due to limited control and undersampling in...

AINN-Express: A Leakage-Aware, Sequence-Only Predictor of VHH Antibody Expression Built on the AINN-P1 Protein Foundation Model

bioRxiv
Expression -- whether an antibody can be produced at usable yield -- is one of the earliest and most expensive filters in therapeutic discovery. We present AINN-Express, a sequence-only predictor of VHH single-domain antibody (nanobody) expression bu...

Embodied reinforcement learning in the primate cortico-basal ganglia system

bioRxiv
Learning the value of environmental stimuli from reward experience allows animals to make advantageous choices. Existing biological accounts of reinforcement learning (RL) often assume that this value is represented as a single, motor-system-invarian...

Decoding Agency-Related Neural States During Human-AI Interaction in Autonomous Driving Using EEG and Deep Learning

bioRxiv
The sense of agency, the experience of controlling one's actions and their consequences, is a fundamental component of human interaction with autonomous systems. As artificial intelligence increasingly mediates decision-making in domains such as auto...

Can urban fence lizards identify cats?

bioRxiv
Urban habitats can serve as wildlife refuges, or as ecological traps. As global urbanization continues to increase, native prey species may experience reduced threat from natural predators that tend to avoid human-populated areas. However, such prote...

Programming protein shape as an explicit design layer via CAD blueprint-guided diffusion

bioRxiv
In engineering, industrial design principles link geometric form with function. In nature, global protein shape, curvature, and chirality similarly drive critical processes like membrane remodeling and cellular motility. However, explicitly programmi...