Relevant lecture on depression as disease.
“Highly relevant lecture by a very brilliant neuroscientist”Open comment #5057041
Science, space & health
Stanford · Discussed on HN from 2009 to 2026
Editorial context · source-attributed
Across the sampled HN recommendations, people specifically point to Relevant lecture on depression as disease. and Interesting Stanford lecture on depression..
The recorded HN source is “highly recommended” — a useful perspective from fjarlq in 2013-01, rather than a claim that every Hacker News reader agrees.
Alongside recommendations, the export retains a reference mention from Matti (2009-11): “Sapolsky frames depression as a real biological disease.” This is context, not proof; use the linked discussion to inspect the original thread.
Curious viewers exploring clinical depression. Its upstream classification is mental health & neurodiversity, while this Explorer page groups it with related material in science, space & health.
Relevant lecture on depression as disease.
“Highly relevant lecture by a very brilliant neuroscientist”Open comment #5057041
Interesting Stanford lecture on depression.
“highly recommended”Open comment #5144135
Ties biological and psychological aspects of depression together.
“It's a very good lecture that goes into both the biological and psychological aspects of depression and then manages to tie them together.”Open comment #5145953
Sapolsky frames depression as a real biological disease.
Open comment #951691Stanford professor Robert Sapolsky lectures on depression as a real biological disease. He covers its biological and psychological causes, how it differs from ordinary sadness, and ideas such as learned helplessness. He ties these together into one account.
Original HackerTube classification: Mental health & neurodiversity.
Interesting Stanford lecture on depression.
“highly recommended”Read the original HN comment
fjarlq · 2013-01 · 14 recommenders across 12 months

MIT OpenCourseWare
HN treats it as the canonical, near-universally recommended lecture on giving talks and presentations.

HN treats it as the best starting point for really understanding backprop and neural nets, because Karpathy explains the why with intuition and builds everything in code.

AT&T Tech Channel
HN repeatedly calls it the clearest introduction to waves and transmission-line behavior, better than modern explainers.