Browse our latest Neuroscience articles

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.

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.

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.