arXiv Quantitative Biology @arxiv_bio@qoto.org

An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical Discovery https://arxiv.org/abs/2406.18626 #qbioQM #csAI #csCL

Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps https://arxiv.org/abs/2406.18808 #qbioNC #csNE

Multiscale Functional Connectivity: Exploring the brain functional connectivity at different timescales https://arxiv.org/abs/2406.19041 #qbioNC

Efficient approximations of transcriptional bursting effects on the dynamics of a gene regulatory network https://arxiv.org/abs/2406.19109 #physicsbioph #qbioMN #qbioSC

Evolving reservoir computers reveals bidirectional coupling between predictive power and emergent dynamics https://arxiv.org/abs/2406.19201 #qbioNC

LICO: Large Language Models for In-Context Molecular Optimization https://arxiv.org/abs/2406.18851 #physics.chem-ph #qbioBM #qbioQM #cs.LG #cs.AI

Dimensions underlying the representational alignment of deep neural networks with humans https://arxiv.org/abs/2406.19087 #qbioQM #cs.CV #cs.AI #cs.LG

Networks with many structural scales: a Renormalization Group perspective https://arxiv.org/abs/2406.19104 #cond-mat.stat-mech #cond-mat.dis-nn #nlin.AO #qbioNC

MegIS: High-Performance, Energy-Efficient, and Low-Cost Metagenomic Analysis with In-Storage Processing https://arxiv.org/abs/2406.19113 #qbioGN #cs.AR #cs.DC

Design and Implementation of a Low-Power Low-Noise Biopotential Amplifier in 28 nm CMOS Technology with a Compact Die-Area of 2500~\si{\micro\meter\squared} https://arxiv.org/abs/2406.17779 #qbioNC #eessSP #eessSY #csSY

Fish Tracking, Counting, and Behaviour Analysis in Digital Aquaculture: A Comprehensive Review https://arxiv.org/abs/2406.17800 #qbioQM #eessAS #csSD

Torchtree: flexible phylogenetic model development and inference using PyTorch https://arxiv.org/abs/2406.18044 #qbioPE #statCO

Graphical Conditions ensuring Equality between Differential and Mean Stochastic Dynamics https://arxiv.org/abs/2406.18126 #qbioMN

Concordance in basal cell carcinoma diagnosis. Building a proper ground truth to train Artificial Intelligence tools https://arxiv.org/abs/2406.18240 #qbioQM #statME #csCV #csIR

Building multiscale models with PhysiBoSS, an agent-based modeling tool https://arxiv.org/abs/2406.18371 #qbioQM #qbioCB #qbioTO #csMA

Strong, but not weak, noise correlations are beneficial for population coding https://arxiv.org/abs/2406.18439 #qbioNC

Parameter selection and optimization of a computational network model of blood flow in single-ventricle patients https://arxiv.org/abs/2406.18490 #qbioQM

A principled framework to assess information theoretical fitness of brain functional sub-circuits https://arxiv.org/abs/2406.18531 #qbioNC

Applications of interpretable deep learning in neuroimaging: a comprehensive review https://arxiv.org/abs/2406.17792 #eess.IV #qbioNC #cs.CV

Evaluating the Influence of Temporal Context on Automatic Mouse Sleep Staging through the Application of Human Models https://arxiv.org/abs/2406.16911 #qbioNC #eessSP #csAI #csCV #csLG