Open Positions
Master’s Thesis Project
Determine how local hippocampal circuits generate distinct ripple subtypes
How the brain flexibly integrates newly acquired memories with pre-existing ones, while minimizing interference, remains a fundamental question in neuroscience. Sharp-wave ripples (SPW-Rs), among the most synchronous network oscillations in the mammalian brain, replay past experiences to support memory consolidation. Recent work suggests that SPW-Rs vary in their origins and mnemonic roles, a phenomenon known as ripple diversity. Some ripples preferentially replay recent experiences, while others primarily replay older, remote memories, raising the possibility that ripple diversity enables the parallel integration of memories across timescales. However, the cellular and circuit mechanisms underlying ripple diversity within the hippocampus remain unknown. In this project, we aim to leverage open-source datasets to elucidate how hippocampal circuits contribute to the generation of distinct ripple subtypes.
Requirements
- Enrolled in a Master’s program in Neuroscience/Math/Physics or a related field
- Programming experience in MATLAB and/or Python is required
Contact
Prof. Xiaomin Zhang – E-Mail
Tae Ho Lim – E-Mail
Master's Thesis Project
Understanding the Degeneration of the Locus Coeruleus and Hippocampus-Dependent Memory Impairment in Alzheimer’s Disease Mouse Models
Hippocampus-dependent episodic memory impairment is a hallmark of the early stages of Alzheimer’s disease (AD). The Locus Coeruleus (LC) and the hippocampus are among the earliest brain regions to exhibit hyperphosphorylated tau accumulation in AD patients. In this project, we aim to investigate the role of LC-mediated neuromodulation in hippocampal function at the neural population level by combining high-density electrophysiological recordings with fiber photometry in freely moving mice. Understanding this relationship is fundamental for elucidating the mechanisms underlying episodic memory formation and may help identify strategies to mitigate or even rescue memory deficits associated with Alzheimer’s disease.
Requirements
- Enrolled in a Master’s program in Neuroscience or a related field
- Experience with stereotaxic surgery, animal handling, and behavioral training
- Programming experience in MATLAB and/or Python is a strong advantage
Contact
Prof. Xiaomin Zhang – E-Mail
Maria Laura Moreira – E-Mail