Ahmed’s work on sharp-wave ripple features in macaques is out(ish) in Hippocampus: https://doi.org/10.1002/hipo.23046
Ahmed’s first PhD publication
Park City Neurobiology of Learning and Memory 2018
The Winter Conference on Learning and Memory 2018 was great. I look forward to co-organizing next year’s meeting. We’ll be sure to include a High West Distillery stop!
Inside Scientific wireless webinar was a success!
We described our recent work recording from the macaque wirelessly in free-behaving environments. See Methods, which we’ll update with our latest advances.
The ripple paper is out! http://bit.ly/2jnFeLF
Dr. Leonard’s latest relating SWR rate and remembered (goal) objects
Michelle’s first, lab’s first aging and Alzheimer’s paper is out! https://wp.me/p5TndN-6d
http://dx.doi.org/10.1016/j.bbr.2016.09.014
Omid’s paper “Closed-loop interruption of hippocampal ripples through fornix stimulation in the non-human primate” accepted at Brain Stimulation
We’re very excited about this one and will update with more info and links once they’re available. (ripple image by Tim)
Andrea presents first memory results from stimulation @CAN_ACN #can16 @BrainCanada #womeninSTEM
The podium wasn’t designed for the vertically challenged, but Andrea rose to the occasion. A great CAPnet-CPS satellite.
Our latest experiment: preprint archiving
Tim’s submitted manuscript, already DOI’d Kind of neat that journals allow this. I think. Have a look: doi: http://dx.doi.org/10.1101/054171 @biorxivpreprint
Jordana’s paper “Selective scanpath repetition during memory-guided visual search” accepted at Visual Cognition
Congratulations to Jordana. This paper describes how memory-guided search for targets in natural scenes leads to selective changes in scan paths. Efficient memory-guided search involves initially repeating the scene-specific scan path, but then rapidly deviating from that scan path, presumably marking a ‘short cut’ to the remembered
Bioengineering Symposium
Kari presents at Lassonde School of Engineering Bioengineering Symposium @York Stay tuned for more of our work in Neural Engineering