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  3. Fitting bifurcation structure, not voltage traces: A biophysically inspired derivation of reduced neuron models exemplified by potassium dynamics

    1. Louisiane Lemaire
    2. Mahraz Behbood
    3. Jan-Hendrik Schleimer
    4. Susanne Schreiber

    • Curated by eLife

      eLife Assessment

      This work demonstrates an objective way to select parameter values for a quadratic integrate-and-fire model so that its bifurcation diagram matches a specific target diagram, generated from the Wang-Buzsaki model. The method is useful for the field and is presented with convincing evidence. The method is currently limited in its ability to be applied to data, but improves our mathematical tools to treat a rarely studied type of bifurcation.

    Reviewed by eLife

    4 evaluationsAppears in 1 listLatest version Latest activity

  6. Intrinsic and circuit mechanisms of predictive coding in a grid cell network model

    1. Inayath Shaikh
    2. Collins Assisi

    • Curated by eLife

      eLife Assessment

      This valuable study presents a mechanistic model of predictive coding by medial entorhinal cortex grid cells, implemented with biologically detailed conductance-based neurons. The evidence supporting the emergence of this coding scheme from specific membrane currents and the anatomical connectivity among inhibitory neurons is solid. However, the justification for the choice of connectivity patterns and other network parameters remains somewhat incomplete. This work will be of interest to neuroscientists working on spatial navigation, circuit dynamics, and neuronal coding.

    Reviewed by eLife

    4 evaluationsAppears in 1 listLatest version Latest activity

  7. An updated catalogue of split-GAL4 driver lines for descending neurons in Drosophila melanogaster

    1. Jessica L Zung
    2. Shigehiro Namiki
    3. Geoffrey W Meissner
    4. Han SJ Cheong
    5. Marta Costa
    6. Katharina Eichler
    7. Tomke Stürner
    8. Gregory SXE Jefferis
    9. Claire Managan
    10. FlyLight Project Team
    11. Wyatt Korff
    12. Gwyneth M Card

    • Curated by eLife

      eLife Assessment

      Complementing previous work (Namiki et al, 2018), this study provides an important resource for the Drosophila community as it reports 500 lines targeting descending neurons (DN), in addition to compiling 306 existing DN lines from the literature. The compelling work characterizes 146 DNs and makes a critical link with the DNs identified in Electron microscopy (EM). The lines in this paper will be of interest to Drosophila neuroscientists who will be able to use the reported genetic drivers for further functional characterization of DNs and circuit mapping in conjunction with existing EM datasets.

    Reviewed by eLife

    4 evaluationsAppears in 1 listLatest version Latest activity

  9. The vaccine candidate Liver Stage Antigen 3 is exported during Plasmodium falciparum infection and required for liver-stage development

    1. Robyn McConville
    2. Ryan WJ Steel
    3. Matthew T O’Neill
    4. Alan F Cowman
    5. Norman Kneteman
    6. Justin A Boddey

    • Curated by eLife

      eLife Assessment

      This useful study provides new insights into the liver-stage antigen LSA3, its export to erythrocytes, and its role in liver-stage development. While the functional importance of LSA3 is well demonstrated, the data underlying the conclusions regarding antibody specificity, liver-stage localization, and phenotype remain incomplete. A key strength of the study is the use of mosquito and humanized mouse models to access life-cycle stages that are rarely studied in most laboratories.

    Reviewed by eLife

    10 evaluationsAppears in 1 listLatest version Latest activity
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