Neuroscience

Comprehensive Neural Representations of Naturalistic Stimuli through Multimodal Deep Learning

1. Mingxue Fu
2. Guoqiu Chen
3. Yijie Zhang
4. Mingzhe Zhang
5. Yin Wang

• Curated by eLife

  eLife Assessment

  This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors provide convincing evidence that models based on multimodal and dynamic embedding features of audiovisual movies predicted brain responses better than models based on unimodal or static features. The work will be of interest to researchers in cognitive neuroscience and AI-based brain modeling.

Reviewed by eLife

Environmental dynamics shape human learning: change points versus random walks

1. Cedric Foucault
2. Lilian A Weber
3. Laurence Hunt

• Curated by eLife

  eLife Assessment

  Foucault and colleagues examine how human adaptive learning depends on the structure of the learning task. The authors provide useful findings clarifying the differences in how people learn in environments that are continuously versus discontinuously changing. While they provide solid evidence for most conclusions, support for some of the claims is incomplete in the current form.

Reviewed by eLife

Sofosbuvir protects human brain organoids against SARS-CoV-2

1. Pinar Mesci
2. Angela Macia
3. Aurian Saleh
4. Laura Martin-Sancho
5. Xin Yin
6. Cedric Snethlage
7. Simoni Avansini
8. Sumit K. Chanda
9. Alysson Muotri

Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

SARS-CoV-2 infects brain choroid plexus and disrupts the blood-CSF-barrier

1. Laura Pellegrini
2. Anna Albecka
3. Donna L. Mallery
4. Max J. Kellner
5. David Paul
6. Andrew P. Carter
7. Leo C. James
8. Madeline A. Lancaster

Reviewed by Rapid Reviews Infectious Diseases, ScreenIT, preLights

Working Memory Guides Perceptual Decisions Through Fast Capture and Slow Drift

1. Hyung-Bum Park
2. Weiwei Zhang

• Curated by eLife

  eLife Assessment

  This study provides important insights into how working memory shapes perceptual decisions, using a dual-task design, continuous mouse tracking, and hierarchical Bayesian modeling. By dissociating fast attentional capture effects from slower, sustained perceptual biases within single trials, the authors provide compelling evidence that working memory-perception interactions unfold through distinct dynamic processes rather than a single mechanism. This work will be of interest to researchers studying working memory, perception, decision-making, and mouse-tracking methodology.

Reviewed by eLife

Cholinergic blockade reveals a role for human hippocampal theta in memory encoding but not retrieval

1. Tamara Gedankien
2. Jennifer Kriegel
3. Erfan Zabeh
4. David McDonagh
5. Bradley Lega
6. Joshua Jacobs

• Curated by eLife

  eLife Assessment

  This fundamental work advances our understanding of the role of human hippocampal theta oscillations in memory encoding and retrieval. The evidence supporting the conclusions is convincing, using both scopolamine administration and intracranial EEG recordings. This work will be of broad interest to neuroscientists and has translational implications.

Reviewed by eLife