The notion that neurons with higher selectivity carry more information about external sensory
inputs is widely accepted in neuroscience. High-selectivity neurons respond to a narrow …

Most models of auditory cortical (AC) population coding have focused on primary auditory
cortex (A1). Thus our understanding of how neural coding for sounds progresses along the …

Neurons can transmit information about sensory stimuli via their firing rate, spike latency, or
by the occurrence of complex spike patterns. Identifying which aspects of the neural …

The encoding of sensory information by populations of cortical neurons forms the basis for
perception but remains poorly understood. To understand the constraints of cortical …

Hypotheses of sensory coding range from the notion of nonlinear “feature detectors” to linear
rate coding strategies. Here, we report that auditory neurons exhibit a novel trade-off in the …

Fluctuations in the amplitude envelope of complex sounds provide critical cues for hearing,
particularly for speech and animal vocalizations. Responses to amplitude modulation (AM) …

Natural auditory scenes possess highly structured statistical regularities, which are dictated
by the physics of sound production in nature, such as scale‐invariance. We recently …

In recent years, our research in computational neuroscience has focused on understanding
how populations of neurons encode naturalistic stimuli. In particular, we focused on how …

The present study explores the issue of cortical coding by spike count and timing using
statistical and information theoretic methods. We have shown in previous studies that …

The accuracy of the neural code depends on the relative embedding of signal and noise in
the activity of neural populations. Despite a wealth of theoretical work on population codes …