Neuroscience

eLife assessment

This study presents an important open-source resource for high-throughput behavioral screening. The protocols employ inexpensive, off the shelf hardware, and allow real-time analysis of hundreds of behaving flies. Although these protocols were developed using Drosophila melanogaster, they could easily be applied to other models. The evidence in support of the conclusions is solid and the revisions carried out by the authors go a long way towards providing the user with an integrated system that is also more user-friendly.

eLife assessment

This study presents a valuable set of experiments to test whether Bombus terrestris bumblebees can detect lethal-level doses of a series of pesticides in nectar-mimicking sugary solutions. Behavioural essays were coupled with electrophysiological measurements to show that B. terrestris mouthparts cannot detect high levels of the tested pesticides. If confirmed using pesticide formulas, and other bumblebee species, the study will be of general interest in environmental science research. Most experimental data are compelling, and the conclusions are sound, but the write-up would benefit from a broader ecological context.

eLife assessment

This valuable study provides convincing evidence that acute experimental pain induces changes of cortical excitability. Although the modality specificity of the findings is not fully clear, the findings will be of interest to researchers interested in the brain mechanisms of pain.

eLife assessment

Schnell et al report important differences between the strategies used by rodents and humans when discriminating different visual objects. The evidence supporting these findings is convincing, showing that rat performance was influenced far more by low-level cues compared to humans. It is, however, unclear to what extent these differences can be explained by the lower visual acuity of rats. This work will be of general interest to vision and cognition researchers, particularly those studying object vision.

eLife assessment

This study provides a valuable contribution to the study of eye-movements in reading, revealing that attention-weights from a deep neural network show a statistically reliable fit to the word-level reading patterns of humans. Its evidence is convincing and strengthens a line of research arguing that attention in reading reflects task optimization. The work would be of interest to psychologists, neuroscientists, and machine learning researchers.

eLife assessment

The authors present a valuable work suggesting that the superficial, retinorecipient layers of the mouse superior colliculus (SC) may participate in figure-ground segregation and object recognition. These data are based largely on optogenetic perturbations of SC but the strength of evidence is currently incomplete: although the effects are statistically significant, there are significant technical limitations that are not adequately addressed via controls.

eLife assessment

This article brings to bear a useful, extensive set of behavioral methods and neural data to report that activity in numerous cortical regions robustly covaries with the complexity of tone sequences encoded in memory. In its current state, the findings are solid but deserve further analysis to arrive at more convincing conclusions.

eLife assessment

Erbacher et al. have used new techniques to explore the neuro-cutaneous structures of human epidermis, which is a valuable goal given the lack of in-depth studies in human skin. Human skin is less studied than rodent skin because it presents challenges in obtaining samples and finding excellent immunohistological labels. They have employed expansion microscopy and super-resolution array tomography for histological studies and have developed a human keratinocyte and human iPSC-derived sensory neuron co-culture

eLife assessment:

Interoceptive signals from internal organs activate neurons in the nucleus tractus solitarius (NTS) to help maintain homeostasis. The authors of this paper use gain-of-function and loss-of-function experiments to examine three distinct NTS neuronal populations, individually and in combination, and find that activating (or inhibiting) combinations of these neurons have more robust effects on food intake and body weight than activating (or inhibiting) them individually. The results of this paper are convincing and solid but do not provide mechanistic insights.

eLife assessment

This important study demonstrates that the orbitofrontal cortex is causally involved in the detection of local auditory prediction errors. The methods and procedures are convincing, although the precise functional meaning of the reported effects remains to be specified. This work is of interest to neuropsychologists and cognitive neuroscientists working on the prefrontal cortex, predictive processing, auditory perception, and electrophysiology.