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Translucency is an essential visual phenomenon. The high variability of translucent appearances poses a challenge to understanding the perceptual mechanism. Via unsupervised learning, this work proposed an image-computable framework that discovers a multiscale latent representation, which can disentangle scene attributes related to human translucency perception. Navigating the learned latent space enables coherent editing of the translucent appearances. Liao et al. discovered that translucent impressions emerge in the images' relatively coarse spatial scale features (columns 3 and 4), suggesting that learning the scale-specific statistical structure of natural images may facilitate the representation of material properties across contexts. Liao et al 2023

Image Credit: Chenxi Liao

Education

An overview of bioinformatics courses delivered at the academic level in Italy: Reflections and recommendations from BITS

Roberto Marangoni, Vitoantonio Bevilacqua, Mario Cannataro, Bruno Hay Mele, Giancarlo Mauri, Anna Marabotti, on behalf of the BITS Training&Teaching group

PLOS Computational Biology: published February 13, 2023 | https://doi.org/10.1371/journal.pcbi.1010846

Perspective

Infrastructure for bioinformatics applications in Tanzania: Lessons from the Sickle Cell Programme

Liberata A. Mwita, William F. Mawalla, Frank R. Mtiiye, Daniel Kandonga, Jill Kent, Julie Makani, Raphael Z. Sangeda

PLOS Computational Biology: published February 23, 2023 | https://doi.org/10.1371/journal.pcbi.1010848

Research Articles

Decoupling of interacting neuronal populations by time-shifted stimulation through spike-timing-dependent plasticity

Mojtaba Madadi Asl, Alireza Valizadeh, Peter A. Tass

PLOS Computational Biology: published February 1, 2023 | https://doi.org/10.1371/journal.pcbi.1010853

Simulation-based inference for non-parametric statistical comparison of biomolecule dynamics

Hippolyte Verdier, François Laurent, Alhassan Cassé, Christian L. Vestergaard, Christian G. Specht, Jean-Baptiste Masson

PLOS Computational Biology: published February 2, 2023 | https://doi.org/10.1371/journal.pcbi.1010088

Funneling modulatory peptide design with generative models: Discovery and characterization of disruptors of calcineurin protein-protein interactions

Jérôme Tubiana, Lucia Adriana-Lifshits, Michael Nissan, Matan Gabay, Inbal Sher, Marina Sova, Haim J. Wolfson, Maayan Gal

PLOS Computational Biology: published February 2, 2023 | https://doi.org/10.1371/journal.pcbi.1010874

Using ‘sentinel’ plants to improve early detection of invasive plant pathogens

Francesca A. Lovell-Read, Stephen Parnell, Nik J. Cunniffe, Robin N. Thompson

PLOS Computational Biology: published February 2, 2023 | https://doi.org/10.1371/journal.pcbi.1010884

LSD-induced increase of Ising temperature and algorithmic complexity of brain dynamics

Giulio Ruffini, Giada Damiani, Diego Lozano-Soldevilla, Nikolas Deco, Fernando E. Rosas, Narsis A. Kiani, Adrián Ponce-Alvarez, Morten L. Kringelbach, Robin Carhart-Harris, Gustavo Deco

PLOS Computational Biology: published February 3, 2023 | https://doi.org/10.1371/journal.pcbi.1010811

Model of neural induction in the ascidian embryo

Rossana Bettoni, Clare Hudson, Géraldine Williaume, Cathy Sirour, Hitoyoshi Yasuo, Sophie de Buyl, Geneviève Dupont

PLOS Computational Biology: published February 3, 2023 | https://doi.org/10.1371/journal.pcbi.1010335

A linear discriminant analysis model of imbalanced associative learning in the mushroom body compartment

David Lipshutz, Aneesh Kashalikar, Shiva Farashahi, Dmitri B. Chklovskii

PLOS Computational Biology: published February 6, 2023 | https://doi.org/10.1371/journal.pcbi.1010864

Temporal progression along discrete coding states during decision-making in the mouse gustatory cortex

Liam Lang, Giancarlo La Camera, Alfredo Fontanini

PLOS Computational Biology: published February 7, 2023 | https://doi.org/10.1371/journal.pcbi.1010865

Criticality in probabilistic models of spreading dynamics in brain networks: Epileptic seizures

S Amin Moosavi, Wilson Truccolo

PLOS Computational Biology: published February 7, 2023 | https://doi.org/10.1371/journal.pcbi.1010852

Forecasting upper respiratory tract infection burden using high-dimensional time series data and forecast combinations

Jue Tao Lim, Kelvin Bryan Tan, John Abisheganaden, Borame L. Dickens

PLOS Computational Biology: published February 7, 2023 | https://doi.org/10.1371/journal.pcbi.1010892

Unsupervised learning reveals interpretable latent representations for translucency perception

Chenxi Liao, Masataka Sawayama, Bei Xiao

PLOS Computational Biology: published February 8, 2023 | https://doi.org/10.1371/journal.pcbi.1010878

An electrophysiological and kinematic model of Paramecium, the “swimming neuron”

Irene Elices, Anirudh Kulkarni, Nicolas Escoubet, Léa-Laetitia Pontani, Alexis Michel Prevost, Romain Brette

PLOS Computational Biology: published February 9, 2023 | https://doi.org/10.1371/journal.pcbi.1010899

Enhanced viral infectivity and reduced interferon production are associated with high pathogenicity for influenza viruses

Ke Li, James M. McCaw, Pengxing Cao

PLOS Computational Biology: published February 9, 2023 | https://doi.org/10.1371/journal.pcbi.1010886

iPRESTO: Automated discovery of biosynthetic sub-clusters linked to specific natural product substructures

Joris J. R. Louwen, Satria A. Kautsar, Sven van der Burg, Marnix H. Medema, Justin J. J. van der Hooft

PLOS Computational Biology: published February 9, 2023 | https://doi.org/10.1371/journal.pcbi.1010462

Global dynamics of neural mass models

Gerald Kaushallye Cooray, Richard Ewald Rosch, Karl John Friston

PLOS Computational Biology: published February 10, 2023 | https://doi.org/10.1371/journal.pcbi.1010915

AI reveals insights into link between CD33 and cognitive impairment in Alzheimer’s Disease

Tamara Raschka, Meemansa Sood, Bruce Schultz, Aybuge Altay, Christian Ebeling, Holger Fröhlich

PLOS Computational Biology: published February 13, 2023 | https://doi.org/10.1371/journal.pcbi.1009894

Synaptic self-organization of spatio-temporal pattern selectivity

Mohammad Dehghani-Habibabadi, Klaus Pawelzik

PLOS Computational Biology: published February 13, 2023 | https://doi.org/10.1371/journal.pcbi.1010876

Modeling the three-dimensional connectivity of in vitro cortical ensembles coupled to Micro-Electrode Arrays

Francesca Callegari, Martina Brofiga, Paolo Massobrio

PLOS Computational Biology: published February 13, 2023 | https://doi.org/10.1371/journal.pcbi.1010825

Two stages of bandwidth scaling drives efficient neural coding of natural sounds

Fengrong He, Ian H. Stevenson, Monty A. Escabí

PLOS Computational Biology: published February 14, 2023 | https://doi.org/10.1371/journal.pcbi.1010862

Functional duality in group criticality via ambiguous interactions

Takayuki Niizato, Hisashi Murakami, Takuya Musha

PLOS Computational Biology: published February 15, 2023 | https://doi.org/10.1371/journal.pcbi.1010869

New model of glucose-insulin regulation characterizes effects of physical activity and facilitates personalized treatment evaluation in children and adults with type 1 diabetes

Julia Deichmann, Sara Bachmann, Marie-Anne Burckhardt, Marc Pfister, Gabor Szinnai, Hans-Michael Kaltenbach

PLOS Computational Biology: published February 15, 2023 | https://doi.org/10.1371/journal.pcbi.1010289

Nano-scale solution of the Poisson-Nernst-Planck (PNP) equations in a fraction of two neighboring cells reveals the magnitude of intercellular electrochemical waves

Karoline Horgmo Jæger, Ena Ivanovic, Jan P. Kucera, Aslak Tveito

PLOS Computational Biology: published February 15, 2023 | https://doi.org/10.1371/journal.pcbi.1010895

Host heterogeneity and epistasis explain punctuated evolution of SARS-CoV-2

Bjarke Frost Nielsen, Chadi M. Saad-Roy, Yimei Li, Kim Sneppen, Lone Simonsen, Cécile Viboud, Simon A. Levin, Bryan T. Grenfell

PLOS Computational Biology: published February 15, 2023 | https://doi.org/10.1371/journal.pcbi.1010896

Neural adaptation and fractional dynamics as a window to underlying neural excitability

Brian Nils Lundstrom, Thomas J. Richner

PLOS Computational Biology: published February 21, 2023 | https://doi.org/10.1371/journal.pcbi.1010527

Kinome inhibition states and multiomics data enable prediction of cell viability in diverse cancer types

Matthew E. Berginski, Chinmaya U. Joisa, Brian T. Golitz, Shawn M. Gomez

PLOS Computational Biology: published February 21, 2023 | https://doi.org/10.1371/journal.pcbi.1010888

Phenotypic pliancy and the breakdown of epigenetic polycomb mechanisms

Maryl Lambros, Yehonatan Sella, Aviv Bergman

PLOS Computational Biology: published February 21, 2023 | https://doi.org/10.1371/journal.pcbi.1010889

A time-series analysis of blood-based biomarkers within a 25-year longitudinal dolphin cohort

Aaditya V. Rangan, Caroline C. McGrouther, Nivedita Bhadra, Stephanie Venn-Watson, Eric D. Jensen, Nicholas J. Schork

PLOS Computational Biology: published February 21, 2023 | https://doi.org/10.1371/journal.pcbi.1010890

Resonant learning in scale-free networks

Samuel Goldman, Maximino Aldana, Philippe Cluzel

PLOS Computational Biology: published February 21, 2023 | https://doi.org/10.1371/journal.pcbi.1010894

Non-destructive classification of unlabeled cells: Combining an automated benchtop magnetic resonance scanner and artificial intelligence

Philipp Fey, Daniel Ludwig Weber, Jannik Stebani, Philipp Mörchel, Peter Jakob, Jan Hansmann, Karl-Heinz Hiller, Daniel Haddad

PLOS Computational Biology: published February 21, 2023 | https://doi.org/10.1371/journal.pcbi.1010842

A behavioral and modeling study of control algorithms underlying the translational optomotor response in larval zebrafish with implications for neural circuit function

John G. Holman, Winnie W. K. Lai, Paul Pichler, Daniel Saska, Leon Lagnado, Christopher L. Buckley

PLOS Computational Biology: published February 23, 2023 | https://doi.org/10.1371/journal.pcbi.1010924

February 2023

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Unsupervised learning of translucent appearances

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