Neuroscience

eLife Assessment

This valuable study introduces an innovative task and framework for examining whether movement vigor and reward-seeking behavior are governed by common or separate processes. The behavioral findings provide solid evidence that these behaviors can be differentially influenced by effort and delay, but support for the proposed model and its mechanistic claims remains incomplete, requiring more rigorous validation and analyses to address potential confounds. The work will be of interest to researchers studying motor control, decision-making, and effort-based behavior.

eLife Assessment

Overall, this is an important manuscript that delivers an invaluable community resource. The execution is relatively simple, but the evidence of this resource is solid. The effort invested in generating the knockout lines that for validation experiments is a clear strength of the study, but it doesn't substitute for a careful evaluation of the same reagents in the end-users' specific protocols before making any biological statement.

eLife Assessment

This study introduces a valuable simulation-based inference (SBI) framework to identify degenerate compensatory mechanisms that stabilize network activity despite neuronal hyperexcitability, a feature common to many brain disorders. By estimating posterior distributions of network parameters, the authors highlight factors such as threshold potential and interneuron-to-principal cell connectivity as key compensators for increased intrinsic excitability and interneuron loss. The approach is promising and can become a convincing tool for probing network degeneracy.

eLife Assessment

This important study introduces Hetlearn, a novel learning algorithm that demonstrates that an ensemble of simple sub-learners with varying learning rates can effectively manage inference in complex, unstable environments. While the theoretical framework and its proposed application to parallel memory traces in the insect mushroom body are intriguing, the evidence supporting the core claims is currently incomplete. To fully validate the authors' conclusions, further exploration is needed to rigorously define the boundaries of the model's hyperparameter space, along with a deeper justification and clarification of its biological plausibility.

eLife Assessment

In this useful study, Millard et al. assessed the effects of nicotine on pain sensitivity and peak alpha frequency (PAF). They propose a solid experimental framework to test the modulatory effects of nicotine on PAF and pain sensitivity, but the evidence is incomplete to support the claims that the chosen experimental intervention may actually play a significant mechanistic role in pain sensitivity given the modest effect sizes observed. The work can be incorporated into the literature investigating the relationship between nicotine and pain and could be of broad interest to pain researchers.

eLife Assessment

This computational study constitutes an extension to prior work on biophysical calcium-based synaptic plasticity rules, investigating how the regulation thresholds for strengthening and weakening connection help solve learning tasks. This important work presents a significantly simpler solution to the studied problem with potentially broad applicability, the evidence to support the core conclusions is solid.

eLife Assessment

This important study investigates how GDNF treatment restores nerve cells in the bowel of a mouse model of Hirschsprung disease, and proposes that this regeneration occurs through diverse resident precursor cells and a non-canonical signaling pathway. The evidence is solid for the ability of the treatment to induce new bowel nerve cells and for a contribution from multiple precursor populations, supported by extensive cell tracing and imaging experiments. This work will be of interest to researchers in developmental biology and peripheral neurobiology.

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.

eLife Assessment

This valuable study provides a practical computational framework for inferring latent neural states directly from calcium fluorescence recordings, bypassing the traditional need for a separate spike deconvolution step. The evidence supporting the method is convincing, featuring rigorous validation across multiple latent variable model families (including HMM, GPFA, and LFADS) using both simulated and experimental data. To further strengthen method's generality, it would require further application to a broader range of experimental datasets, such as recordings from different brain regions or using different calcium indicators.

eLife Assessment

This study presents valuable findings regarding cardiac and autonomic effects of seizures and epilepsy, with relevance to sudden unexpected death in epilepsy (SUDEP). They present solid evidence that genetic deletion of the potassium-chloride co-transporter in hypothalamic corticotropin-releasing hormone (CRH) neurons exacerbates bradycardia and enhances autonomic disturbances in a mouse model of temporal lobe epilepsy. This work will be of interest to neuroscientists working on epilepsy, the HPA axis, and autonomic control.