Neuroscience

eLife Assessment

This work of fundamental significance introduces a novel statistical model of spiking activity that incorporates continuous-time gain modulation. The authors provide exceptional evidence that the model outperforms earlier approaches and alternative candidates in capturing spiking responses across multiple visual areas in the macaque. Beyond its methodological contribution, the study offers new insights into how stimulus-driven variability and internally generated gain fluctuations evolve over time and between brain areas. The framework is likely to find broad application beyond the datasets examined here.

eLife Assessment

This work establishes a valuable theoretical finding about how the spike timing dependence of inhibitory plasticity shapes recurrent network connectivity. The combination of theoretical analysis and simulations provides convincing evidence that effective inhibitory connectivity forms a so-called Mexican-hat profile when multiple inhibitory neuron types follow distinct learning rules. These mechanisms are thought to be implicated in the contextual modulation of neuronal responses to stimuli.

eLife Assessment

This valuable study describes a simple and robust approach for estimating information-limiting noise by splitting neural populations and comparing estimator values. The authors report more accurate and robust results compared to previous methods. The evidence for the robustness of the method is currently incomplete; some concerns regarding bias need to be resolved, and additional tests need to be provided on how the number of trials and neurons affect performance.

eLife Assessment

This multimodal neuroimaging study leverages fMRI, PET, and deep learning to predict memory performance. The authors introduce the brain-cognition gap to link these different imaging modalities to cognition and evaluate their results in two independent cohorts. The results are solid and provide an important contribution to the literature and will be of interest to neuroscientists working at the interface of cognition, neuroimaging.

eLife Assessment

This useful study investigates how plasticity and homeostatic adaptation can lead to the emergence of synchronization patterns associated with different sleep phases. The ideas are novel and interesting, but the evidence at present remains incomplete. Further work is needed to determine whether the reported states persist for larger system sizes, longer integration times, and how robust the results are to different initial conditions.