Multivariate time series analysis is extensively used in neurophysiology with the aim of
studying the relationship between simultaneously recorded signals. Recently, advances on …

We might be forced to listen to a high-frequency tone at our audiologist's office or we might
enjoy falling asleep with a white-noise machine, but the sounds that really matter to us are …

How natural speech is represented in the auditory cortex constitutes a major challenge for
cognitive neuroscience. Although many single-unit and neuroimaging studies have yielded …

The human superior temporal gyrus (STG) is critical for speech perception, yet the
organization of spectrotemporal processing of speech within the STG is not well understood …

Vocal communicators discriminate conspecific vocalizations from other sounds and
recognize the vocalizations of individuals. To identify neural mechanisms for the …

The computation represented by a sensory neuron's response to stimuli is constructed from
an array of physiological processes both belonging to that neuron and inherited from its …

Although a universal code for the acoustic features of animal vocal communication calls may
not exist, the thorough analysis of the distinctive acoustical features of vocalization …

Biological neurons keep sensitive to external stimuli and appropriate firing modes can be
triggered to give effective response to external chemical and physical signals. A …

Speech has long been thought of as a uniquely defining characteristic of humans. Yet song
birds, like humans, communicate using learned signals (song, speech) that are acquired …

Adaptively optimizing experiments has the potential to significantly reduce the number of
trials needed to build parametric statistical models of neural systems. However, application …