arXiv Quantitative Biology @arxiv_bio@qoto.org

Speech and the n-Back task as a lens into depression. How combining both may allow us to isolate different core symptoms of depression. (arXiv:2204.00088v1 [cs.SD]) http://arxiv.org/abs/2204.00088

Perceptive, non-linear Speech Processing and Spiking Neural Networks. (arXiv:2204.00094v1 [cs.SD]) http://arxiv.org/abs/2204.00094

CAsimulations: Modeling of topological dynamics in a disease using cellular automata. (arXiv:2204.00136v1 [math.DS]) http://arxiv.org/abs/2204.00136

A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues from Digital Image Correlation Measurements. (arXiv:2204.00205v1 [cs.LG]) http://arxiv.org/abs/2204.00205

Interpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions. (arXiv:2204.00300v1 [q-bio.QM]) http://arxiv.org/abs/2204.00300

On the effects of a wide opening in the domain of the (stochastic) Allen-Cahn equation and the motion of hybrid zones. (arXiv:2204.00316v1 [math.PR]) http://arxiv.org/abs/2204.00316

Regulating MDA-MB-231 breast cancer cell adhesion on laser-patterned surfaces with micro- and nanotopography. (arXiv:2204.00403v1 [cond-mat.mtrl-sci]) http://arxiv.org/abs/2204.00403

Should alterations in water viscosity be addressed in soil carbon models?. (arXiv:2204.00405v1 [q-bio.QM]) http://arxiv.org/abs/2204.00405

Mind the gap: Challenges of deep learning approaches to Theory of Mind. (arXiv:2203.16540v1 [cs.LG]) http://arxiv.org/abs/2203.16540

Joint Sensing, Communication and Localization of a Silent Abnormality Using Molecular Diffusion. (arXiv:2203.16641v1 [eess.SP]) http://arxiv.org/abs/2203.16641

The ideal data compression and automatic discovery of hidden law using neural network. (arXiv:2203.16941v1 [cs.LG]) http://arxiv.org/abs/2203.16941

Human wealth evolution is an accelerating expansion underpinned by a decelerating optimization process. (arXiv:2203.17087v1 [physics.soc-ph]) http://arxiv.org/abs/2203.17087

A Computational Architecture for Machine Consciousness and Artificial Superintelligence: Updating Working Memory Iteratively. (arXiv:2203.17255v1 [q-bio.NC]) http://arxiv.org/abs/2203.17255

An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example. (arXiv:2001.07824v4 [stat.AP] UPDATED) http://arxiv.org/abs/2001.07824

Metastable dynamics of neural circuits and networks. (arXiv:2110.03025v3 [q-bio.NC] UPDATED) http://arxiv.org/abs/2110.03025

A Bayesian Approach to Modelling Biological Pattern Formation with Limited Data. (arXiv:2203.14742v2 [math.AP] UPDATED) http://arxiv.org/abs/2203.14742

Improving The Diagnosis of Thyroid Cancer by Machine Learning and Clinical Data. (arXiv:2203.15804v1 [cs.LG]) http://arxiv.org/abs/2203.15804

Cusp Bifurcation in Metastatic Breast Cancer Cells. (arXiv:2203.15888v1 [q-bio.CB]) http://arxiv.org/abs/2203.15888

Current Implicit Policies May Not Eradicate COVID-19. (arXiv:2203.15916v1 [q-bio.PE]) http://arxiv.org/abs/2203.15916

Seasonality, density dependence and spatial population synchrony. (arXiv:2203.16118v1 [q-bio.PE]) http://arxiv.org/abs/2203.16118