Approximately 80-90% of individuals with Parkinson’s disease (PD) develop motor speech impairments, predominantly in the form of voice dysfunction. It is known that the motor symptoms of PD arise from degeneration of the dopamine producing neurons in the substantia nigra and dysregulation of basal ganglia motor pathways. It is also...
Compromised protein homeostasis underlies accumulation of plaques and tangles in Alzheimer’s disease (AD); however, little is known about the early mechanisms that contribute to this process. To objectively assess protein turnover at early stages of amyloid beta (Aβ) proteotoxicity, we used dynamic metabolic labeling with stable isotopes followed by proteomic...
The hippocampus has a well-established role in episodic memory and serves as a hub in a network of distributed brain regions (i.e., hippocampal-cortical network; HCN). Theta-band (4-8 Hz) neural activity recorded in the hippocampus have been associated with memory processing, and synchronized theta oscillations among the hippocampus and HCN regions...
Neural stem and progenitor cell (NPC) fate specification is a crucial component of central nervous system development, and the myriad signaling pathways that guide it are poorly understood. In my thesis work, I aimed to elucidate signaling mechanisms of the bone morphogenetic protein family (BMP) and some of its targets...
Melanopsin-expressing, intrinsically photosensitive retinal ganglion cells (ipRGCs) represent a class of non-canonical, ganglion cell photoreceptors. These cells influence a variety of visual behaviors including contrast sensitivity, circadian photoentrainment, sleep, and even mood. These wide-ranging behavioral influences are attributed to the multiple subtypes (M1-6) that comprise the ipRGC population, with different...
We present two ways in which measures of information can be used for the design and analysis of neural networks in both the brain and the computer. In the brain, stimulus is often represented as a distributed pattern of activity in a network of neurons. The quality of such population...
Decisions in naturalistic environments usually feature delayed and uncertain outcomes that can only be reached after a sequence of actions are performed. For example, canonical stalking and pursuit strategies used by terrestrial predators often involve stages of concealment, pauses where the predator remains motionless, and high speed chase sequences. The...
Classical conditioning is a form of associative learning and can be used as a behavioral paradigm to model and investigate the neural mechanisms underlying associative learning. In this work, classical conditioning paradigms are used to test the effectiveness of a disease model on the impact of learning and emotional regulation...
Navigating through the world is typically a multisensory experience. Mammals are believed to navigate using a cognitive map of space stored in the hippocampus. Yet, it is unclear how and whether spatial information of different sensory modalities can contribute to this map. A major barrier to addressing this question has...
Dynamic decision-making is a complex process that relies on our ability to generate, evaluate and implement a variety of strategies. Understanding how people navigate this process is a difficult problem that requires a wide range of methodologies. This study details a combination of behavioral experiments, computational modeling, and neuroimaging that...