Neuroscience

eLife Assessment

This valuable study presents a plastic recurrent spiking network model that spontaneously generates repeating neuronal sequences under unstructured inputs. The authors provide solid evidence that, while the global weight distribution stabilizes, individual synaptic connections undergo constant turnover with strength-dependent timescales, supporting sequence generation. However, the study is purely simulation-based and phenomenological, lacking both a mechanistic explanation for sequence emergence and explicit experimental predictions, and robustness to alternative, more biologically realistic plasticity rules remains to be demonstrated. The work will be of interest to theoretical and experimental neuroscientists working on synaptic plasticity and neural sequence generation.

eLife Assessment

This manuscript presents important findings that challenge traditional models of speech processing by demonstrating that theta-gamma phase-amplitude coupling in the auditory cortex is primarily a stimulus-driven alignment to external acoustic structures rather than an intrinsic neural oscillatory mechanism. The evidence supporting these claims is convincing, grounded in a robust cross-linguistic acoustic analysis and high-fidelity, time-resolved intracranial recordings.

eLife Assessment

This is a potentially important study comparing infants (8 months) and adults with respect to rhythmic EEG response properties during periodic and aperiodic visual stimulation. The results provide solid evidence for a ~4 Hz EEG response in infants that emerges independently of stimulation frequency. At this stage, additional work will be required to conclusively establish that this theta-band effect reflects genuine neural resonance rather than oculomotor processes.