Avi Mendelsohn, PhD
Batel Yifrah (In collaboration with Dr. Genela Morris)
Reinforcement learning effects on declarative memory.
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
Nuphar Rotem (in collaboration with Dr. Roee Admon)
Reinforcement learning and memory in addiction and addiction rehabilitation.
My research attempts to unleash certain neuro-cognitive mechanisms that might underline the
relationship between music and human memory, by employing an interdisciplinary approach
which incorporates concepts and methods from music theory and composition besides
neurobiology and cognitive psychology.