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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.

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

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

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.

Interactions between neurons across cortical layers reflect the balance of feedforward and feedback inputs.

Neuronal responses in cortical area MT to two speeds show a robust bias toward the faster speed when stimulus speeds are slow, which could benefit figure-ground segregation in natural scenes.