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A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity information.

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

Premotor nonspiking neurons regulate the level of motor activity through a recurrent inhibitory circuit.

Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.

Evidence from multiple model systems supports a shift away from heme transport and toward metabolic dysfunction and oxidative stress as key drivers of TANGO2 deficiency.

In chronic neurodegeneration associated with prion disease, reactive microglia adopt a highly mobile, neuron-by-neuron surveillance strategy, replacing homeostatic process-based monitoring with dynamic somatic migration and prolonged neuronal engagement.