Skip to main content
Table of Contents

February 2023

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


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


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

Research Articles

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

Mojtaba Madadi Asl, Alireza Valizadeh, Peter A. Tass

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

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

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

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

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

Model of neural induction in the ascidian embryo

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

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

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

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

Liam Lang, Giancarlo La Camera, Alfredo Fontanini

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

Unsupervised learning reveals interpretable latent representations for translucency perception

Chenxi Liao, Masataka Sawayama, Bei Xiao

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

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

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

Global dynamics of neural mass models

Gerald Kaushallye Cooray, Richard Ewald Rosch, Karl John Friston

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

Synaptic self-organization of spatio-temporal pattern selectivity

Mohammad Dehghani-Habibabadi, Klaus Pawelzik

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

Francesca Callegari, Martina Brofiga, Paolo Massobrio

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

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

Functional duality in group criticality via ambiguous interactions

Takayuki Niizato, Hisashi Murakami, Takuya Musha

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

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

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

Phenotypic pliancy and the breakdown of epigenetic polycomb mechanisms

Maryl Lambros, Yehonatan Sella, Aviv Bergman

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

Resonant learning in scale-free networks

Samuel Goldman, Maximino Aldana, Philippe Cluzel

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

Using pose estimation to identify regions and points on natural history specimens

Yichen He, Christopher R. Cooney, Steve Maddock, Gavin H. Thomas

Hidden variable models reveal the effects of infection from changes in host survival

Jake M. Ferguson, Andrea González-González, Johnathan A. Kaiser, Sara M. Winzer, Justin M. Anast, Ben Ridenhour, Tanya A. Miura, Christine E. Parent

Contact networks have small metric backbones that maintain community structure and are primary transmission subgraphs

Rion Brattig Correia, Alain Barrat, Luis M. Rocha

Evolutionary dynamics of hyperbolic language

Madison S. Krieger

Fusome topology and inheritance during insect gametogenesis

Rocky Diegmiller, Jasmin Imran Alsous, Duojia Li, Yukiko M. Yamashita, Stanislav Y. Shvartsman

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

Impacts of observation frequency on proximity contact data and modeled transmission dynamics

Weicheng Qian, Kevin Gordon Stanley, Nathaniel David Osgood

Using real-time data to guide decision-making during an influenza pandemic: A modelling analysis

David J. Haw, Matthew Biggerstaff, Pragati Prasad, Joseph Walker, Bryan Grenfell, Nimalan Arinaminpathy

Modeling the progression of Type 2 diabetes with underlying obesity

Boya Yang, Jiaxu Li, Michael J. Haller, Desmond A. Schatz, Libin Rong

Interpreting T-cell search “strategies” in the light of evolution under constraints

Inge M. N. Wortel, Johannes Textor

Shapify: Paths to SARS-CoV-2 frameshifting pseudoknot

Luke Trinity, Ian Wark, Lance Lansing, Hosna Jabbari, Ulrike Stege