Avi Mendelsohn, PhD
Study topic: Reinforcement learning effects on declarative memory.
Individual differences in experienced and observational decision making illuminate interactions between reinforcement learning and declarative memory (2021), Scientific Reports.
I'm interested in understanding the neural networks and structures that underpin the mechanisms by which memories for narrative are formed and consolidated. For fulfilling this aim, we apply diverse computational methods on fMRI data collected while participants are presented with movie scenes that either form a coherent narrative or do not.
My project aims at characterizing hippocampal-cortical functional connectivity and their development across the
lifespan, by applying novel connectivity methods to a large number of resting-state fMRI scans acquired from an
My research explores neuro-cognitive mechanisms that underline the relationship between music and memory, by employing an interdisciplinary approach which incorporates concepts and methods from music theory and composition with neurobiology and cognitive psychology.
The effects of musical tension on memory formation in real-life settings.
The neural underpinnings of reinforcement-learning declarative memory relationships