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Neuroscience and Neurobiology Commons™
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- Brain state (1)
- Broadband gamma activity (BGA) (1)
- Category-selectivity (1)
- Cortical state (1)
- Electrocorticography (ECoG) (1)
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- Fusiform face area (FFA) (1)
- Intracranial EEG (icEEG) (1)
- Lateral occipital cortex (LOC) (1)
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- Ventral temporal cortex (VTC) (1)
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- Visual object recognition (1)
Articles 1 - 2 of 2
Full-Text Articles in Neuroscience and Neurobiology
The Impact Of Cortical State On Neural Coding And Behavior, Charles Beaman
The Impact Of Cortical State On Neural Coding And Behavior, Charles Beaman
Dissertations & Theses (Open Access)
The brain is never truly silent – up to 80% of its energy budget is expended during ongoing activity in the absence of sensory input. Previous research has shown that sensory neurons are not exclusively influenced by external stimuli but rather reflect interactions between sensory inputs and the ongoing activity of the brain. Yet, whether fluctuations in the state of cortical networks influence sensory coding in neural circuits and the behavior of the animal are unknown. To shed light on this issue, we conducted multi-unit electrophysiology experiments in visual areas V1 and V4 of behaving monkeys. First, we studied the …
Network Dynamics Of Visual Object Recognition, Mehmet C. Kadipasaoglu
Network Dynamics Of Visual Object Recognition, Mehmet C. Kadipasaoglu
Dissertations & Theses (Open Access)
Visual object recognition is the principal mechanism by which humans and many animals interpret their surroundings. Despite the complexity of neural computation required, object recognition is achieved with such rapidity and accuracy that it appears to us almost effortless. Extensive human and non-human primate research has identified putative category-selective regions within higher-level visual cortex, which are thought to mediate object recognition. Despite decades of study, however, the functional organization and network dynamics within these regions remain poorly understood, due to a lack of appropriate animal models as well as the spatiotemporal limitations of current non-invasive human neuroimaging techniques (e.g. fMRI, …