Uploaded April 2026 | Updated September 2026, 3 weeks ago
Click here for full show notes including episode mentions and recommendations: jimrutt.substack.com/p/ep-339-john-krakauer-on-why-neuroscience
Jim talks with John Krakauer—professor of neurology and neuroscience, director of the Center for Study of Motor Learning and Brain Repair at @JohnsHopkinsMedicine, and external faculty at @SFIScience—about his 2017 paper “Neuroscience Needs Behavior: Correcting a Reductionist Bias.”
They discuss defining behavior as ecologically valid goal-directed action within an animal’s umwelt, behavioral decomposition being epistemically prior to neural investigation, bipedal running and Sherrington’s spinalized cat experiments as illustrations of that decomposition, what a satisfying neural explanation should actually look like, emergence and neuroscientists’ resistance to it, the concept of explanatory autonomy and the “wings don’t fly, birds do” framing, downward causality and the traffic jam analogy, Sherrington’s own epistemic humility about understanding thought, whether consciousness will eventually be explained the way life was or remain permanently fuzzy, the three traditions of studying the nervous system and their persistent tensions, the problem of double-dipping with coarse-grained behavioral language in neural data, “filler verbs” like “involves” and “underlies” that add surplus meaning to a correlation without doing extra explanatory work, everyday pseudo-explanations like dopamine for unhappiness and oxytocin for love, the identity fallacy, LLMs as scientific sparring partners and critical reviewers, Krakauer’s vertigo at the current moment and the possibility of retiring if AI generates better intuitions, interpretable AI as a new subject for neuroscience and psychology, Jim’s own artificial consciousness project building a rudimentary white-tailed deer, distinguishing consciousness from cognition and sentience, separating the machinery of consciousness from its contents, Nagel’s “What Is It Like to Be a Bat?” and echolocation as conscious content, multiple realizability and its being pervasive and fatal to naive reductionism, the mereological fallacy and mirror neurons as ground zero for multiple fallacies, Marr’s three levels and the direction of the scientific project from behavioral goal to algorithm to neural implementation, the bradykinesia paper finding that Parkinson’s patients move slowly because they want to move more slowly, the C. elegans connectome and the limits of that knowledge, the Jonas and Kording microprocessor paper, and much more.
Click here for full show notes including episode mentions and recommendations: jimrutt.substack.com/p/ep-339-john-krakauer-on-why-neuroscience
Jim talks with John Krakauer—professor of neurology and neuroscience, director of the Center for Study of Motor Learning and Brain Repair at @JohnsHopkinsMedicine, and external faculty at @SFIScience—about his 2017 paper “Neuroscience Needs Behavior: Correcting a Reductionist Bias.”
They discuss defining behavior as ecologically valid goal-directed action within an animal’s umwelt, behavioral decomposition being epistemically prior to neural investigation, bipedal running and Sherrington’s spinalized cat experiments as illustrations of that decomposition, what a satisfying neural explanation should actually look like, emergence and neuroscientists’ resistance to it, the concept of explanatory autonomy and the “wings don’t fly, birds do” framing, downward causality and the traffic jam analogy, Sherrington’s own epistemic humility about understanding thought, whether consciousness will eventually be explained the way life was or remain permanently fuzzy, the three traditions of studying the nervous system and their persistent tensions, the problem of double-dipping with coarse-grained behavioral language in neural data, “filler verbs” like “involves” and “underlies” that add surplus meaning to a correlation without doing extra explanatory work, everyday pseudo-explanations like dopamine for unhappiness and oxytocin for love, the identity fallacy, LLMs as scientific sparring partners and critical reviewers, Krakauer’s vertigo at the current moment and the possibility of retiring if AI generates better intuitions, interpretable AI as a new subject for neuroscience and psychology, Jim’s own artificial consciousness project building a rudimentary white-tailed deer, distinguishing consciousness from cognition and sentience, separating the machinery of consciousness from its contents, Nagel’s “What Is It Like to Be a Bat?” and echolocation as conscious content, multiple realizability and its being pervasive and fatal to naive reductionism, the mereological fallacy and mirror neurons as ground zero for multiple fallacies, Marr’s three levels and the direction of the scientific project from behavioral goal to algorithm to neural implementation, the bradykinesia paper finding that Parkinson’s patients move slowly because they want to move more slowly, the C. elegans connectome and the limits of that knowledge, the Jonas and Kording microprocessor paper, and much more.
