Neuroscience

eLife Assessment

The authors analyzed spectral properties of neural activity recorded using laminar probes while mice engaged in a global/local visual oddball paradigm. They found solid evidence for an increase in gamma (and theta in some cases) for unpredictable versus predictable stimuli, and a reduction in alpha/beta, which they consider evidence towards a "predictive routing" scheme. The study is overall important because it addresses the basis of predictive processing in the cortex, but some of the analytical choices could be better motivated, and overall, the manuscript can be improved by performing additional analyses.

eLife Assessment

This is a useful study that examines the relationship between neuropeptide signaling and the precision of vocal motor output using the songbird as a model system. The study presents evidence based on differential expression patterns and genetic or pharmacological inhibition of various neuropeptide genes for a causal role in song performance; however, this evidence is incomplete.

eLife Assessment

This useful study provides a well-constructed computational investigation of how intermittent theta-burst stimulation (iTBS) influences synaptic plasticity within the corticothalamic circuit, improving our mechanistic understanding of how stimulation parameters interact with intrinsic brain oscillations. The authors build a corticothalamic population model that generates individual alpha rhythms with a calcium-dependent metaplasticity rule, and provide solid evidence that aligning stimulation frequencies to brain-intrinsic oscillatory subharmonics enhances plasticity effects. This insight could open a route toward personalized, more effective stimulation protocols.

eLife Assessment

This functional MRI study critically tests the hypothesis that poor face recognition in developmental prosopagnosia in humans is driven by reduced spatial integration and smaller receptive fields in face-selective brain regions. The evidence provided is compelling as it is well-powered, uses state-of-the-art functional brain imaging, eye tracking, and computational analyses. The observed lack of difference in population receptive field sizes between face-selective brain regions of individuals with and without prosopagnosia, though a null result, has important implications for the field, and specifically, for theories of face recognition.