Neuroscience Daily for 30 September follows 3 stories from r/neuro and r/neuroscience, moving through brain aging mri, locus coeruleus taste, predictive learning.
Chapters
00:00:00 — Intro
00:00:11 — Brain Aging MRI
00:01:22 — Locus Coeruleus Taste
00:02:25 — Predictive Learning
00:03:40 — Closing
1. Brain Aging MRI
Brain scans reveal which disorders are linked to faster brain aging, according to ScienceDaily’s report on a PLOS Medicine study. Researchers compared structural MRI data from 45,900 control participants with scans from 2,698 people across Alzheimer’s disease, mild cognitive impairment, addiction, schizophrenia, bipolar disorder, major depression, ADHD, and autism.
A paper summarized in Neuroscience examines how activating the locus coeruleus changes taste representations in the gustatory cortex. Using optogenetic stimulation and miniscope imaging in mice, the researchers compared brief, phasic activation with tonic activation while tracking neural responses to taste.
A bioRxiv preprint asks whether predictive learning rules explain human neural representations better than standard supervised deep networks. The authors compared small, otherwise matched networks trained with predictive, contrastive, or supervised objectives, and also compared local learning with full backpropagation.
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