Neuroscience

Individual differences in fear memory expression engage distinct functional brain networks

1. Barbara D Fontana
2. Jacob Hudock
3. Neha Rajput
4. Dea Kanini
5. Dinh Luong
6. Justin W Kenney

• Curated by eLife

  eLife Assessment

  This important work sets out to identify the neural substrates of associative fear responses in adult zebrafish. Through a compelling and innovative paradigm and analysis, the authors suggest brain regions associated with individual differences in fear memory. While several findings are well supported, aspects of the interpretation and presentation are partially incomplete, and the manuscript would benefit from adjusting key claims or including additional experiments. Nonetheless, this study showcases the strength of zebrafish for systems-level neuroscience and will be of broad interest to the neuroscience community.

Reviewed by eLife

Integrative models of visually guided steering in Drosophila

1. Angel Canelo
2. Hyosun Kim
3. Yeon Kim
4. Jeongmin Park
5. Anmo J Kim

• Curated by eLife

  eLife Assessment

  This valuable study investigates the implementation of an efference copy mechanism in the visual flight control system of Drosophila, a topic of broad interest to sensorimotor neuroscientists. Although the behavioral data and computational analyses are each individually solid, there is limited quantitative evaluation of how the model predictions compare to the experimental data.

Reviewed by eLife

Wide-ranging behavioral dysfunction in two mouse models of pathological human variants in the GRIK2 kainate receptor gene

1. Brynna T. Webb
2. Hieu Trinh
3. Emily A. Breach
4. Kendall M. Foote
5. Erica Binelli
6. Geoffrey T. Swanson

Reviewed by preLights

Decoding movie content from neuronal population activity in the human medial temporal lobe

1. Franziska Gerken
2. Alana Darcher
3. Pedro J Gonçalves
4. Rachel Rapp
5. Ismail Elezi
6. Johannes Niediek
7. Marcel S Kehl
8. Thomas P Reber
9. Stefanie Liebe
10. Jakob H Macke
11. Florian Mormann
12. Laura Leal-Taixé

• Curated by eLife

  eLife Assessment

  This valuable study demonstrates that it is possible to decode information about characters and locations from single-unit responses in the human brain to a narrative movie, using a convincing technical approach to capture information in population-level dynamics. The study introduces an exciting dataset of single-unit responses in humans during a naturalistic and dynamic movie stimulus, with recordings from multiple regions within the medial temporal lobe. Using both a traditional firing-rate analysis as well as a population decoding analysis to connect these neural responses to the visual content of the movie, they show that in this dataset, the decoding of semantic scene features (e.g., the person currently on screen), but not scene transitions, is surprisingly driven by classically non-responsive neurons. Based on these findings, the authors argue that dynamic naturalistic semantic information may be processed within the medial temporal lobe at the population level.

Reviewed by eLife