Modeling central auditory neurons in response to complex sounds not only helps
understanding neural processing of speech signals but can also provide insights for …

When modeling auditory responses to environmental sounds, results are satisfactory if both
training and testing are restricted to datasets of one type of sound. To predict'cross …

Most information about neuronal properties in primary auditory cortex (AI) has been
gathered using simple artificial sounds such as pure tones and broad-band noise. These …

Animals can quickly process and understand behaviorally significant complex sounds from
noisy environments. If the neural mechanisms behind this behavior are found, we will gain a …

Previous studies have shown that the auditory cortex can enhance the perception of
behaviorally important sounds in the presence of background noise, but the mechanisms by …

Abstract Models are valuable tools to assess how deeply we understand complex systems:
only if we are able to replicate the output of a system based on the function of its …

Neurons that respond favorably to a particular sound level have been observed throughout
the central auditory system, becoming steadily more common at higher processing areas …

Sounds are processed by the ear and central auditory pathway. These processing steps are
biologically complex, and many aspects of the transformation from sound waveforms to …

The representation of sound information in the central nervous system relies on the analysis
of time-varying features in communication and other environmental sounds. How are …

The processing characteristics of neurons in the central auditory system are directly shaped
by and reflect the statistics of natural acoustic environments, but the principles that govern …