Four Music Science attendees of the 2018 meeting of the Society for Neuroscience join Finn to discuss their experience of the conference, their own projects, and other interesting research presented. PhD Candidates Avital Sternin, Andrew Chang, Dr. Keith Doelling, and Prof. Amy Belfi get into the neural processing of song, emotion and alzheimer's, leadership in small ensembles, onset prediction in the auditory cortex and more. Get an inside view of how Music Science fits into the biggest Neuroscience conference according to the young scientists on the ground.
Time Stamps

* [0:01:06] Introduction of panelists
* [0:03:12] Introduction of Society for Neuroscience Conference
* [0:07:11] Music Science at SfN and in Neuroscience
* [0:10:48] Avital’s project (introduced by Amy)
* [0:21:50] Andrew’s project (introduced by Keith)
* [0:33:18] Amy’s project (introduced by Avital)
* [0:44:04] Keith’s project (introduced by Andrew)

Show notes

* SfN18 website and program
* Avital Sternin, PhD Candidate at The Brain and Mind Institute of The University of Western Ontario  

* Abstract, Poster for Identifying the neural correlates of Music Familiarity using a strict training paradigm by A. Sternin, A. M. Owen, J. A. Grahn.

* Andrew Chang, Ph.D. Candidate in Department of Psychology, Neuroscience & Behaviour at McMaster University

* Abstract, Poster  for Neural oscillatory mechanisms for interpersonal entrainment in music ensembles by A. Chang, P. Chrapka, D. Bosnyak, L. J. Trainor.
* Associated paper: A. Chang, S.R. Livingstone, D. Bosnyak, and L. J. Trainor. Body sway reflects leadership in joint music performance. PNAS May 23, 2017 114 (21) E4134-E4141

* Prof. Amy Belfi, Department of Psychological Science at Missouri University of Science and Technology

* Abstract, Poster  for Music and emotion in Alzheimer's disease by A. M. Belfi, A. Resche-Hernandez, E. Guzman-Velez, D. Tranel.

* Dr. Keith Doelling, Dept. of Psychology, Centre for Neural Science, New York University

* Abstract, Poster  for Assessing evoked and oscillatory components in cortical synchronization to music using computational models by K. Doelling, M.F. Assaneo, J. Rowland, D. Bevilacqua, B. Pesaran, D. Poeppel.
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