Abstract
<jats:p>Neuronal spiking activity and gamma-band oscillatory synchronization constitute two fundamental and extensively studied signatures of cortical processing. While neuronal spiking encodes external and internal sensory inputs into discrete patterns of electrical activity, gamma-band oscillations reflect rhythmic synchronization across neuronal populations, facilitating functional communication and coordinating information transfer to support perception and cognition. Despite a wealth of research, critical questions remain regarding how these two activity patterns interact, particularly in the context of sensory stimulus processing. This dissertation addresses these questions by providing novel insights into the interaction between gamma oscillations and spiking activity. Specifically, it investigates how gamma-band rhythm modulates multi-unit activity (MUA) neuronal gain in response to visual stimuli, exploring how gamma may enhance or suppress spiking in a phase-dependent manner, affecting downstream information transmission. Furthermore, the thesis examines how gamma and MUA respond under specific stimulation conditions, such as repeated stimulus presentations, which the brain may leverage to optimize computational efficiency. These questions are addressed using intracranial local-field potential (LFP) and MUA recordings from primary visual cortex (V1) in awake non-human primates, providing a detailed characterization of the functional interplay between oscillatory and spiking activity.</jats:p>