Neural representations of stimulus-specific information increase in fidelity as the power of alpha/beta activity decreases, suggesting that alpha/beta power decreases reflect a domain-general mechanism that supports information representation.
The conductance-based encoding model creates a new bridge between statistical models and biophysical models of neurons, and infers visually-evoked excitatory and inhibitory synaptic conductances from spike trains in macaque retina.
Despite the widely held belief among researchers in consciousness that healthy observers can show unconscious perception, a study using a novel method to control for response biases finds no evidence for this phenomenon.
Syntactic structure-building processes can be applied to speech that is task-irrelevant and should be ignored, demonstrating that Selective Attention does not fully eliminate linguistic processing of competing speech.
Neural populations may depend on balanced recurrent connectivity to produce an efficient stimulus representation while also maintaining an accurate stimulus encoding despite the variability introduced by adapting neural responses.
A standard for complex mouse behavior that can be successfully reproduced across laboratories, along with open-access data and tools to implement provide a resource for reproducibility through collaborative open-science approaches.