Cross-species RSA: same learning rules (BP, PC, STDP, FA) tested against both human fMRI and macaque electrophysiology [P]
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Learn how to apply same learning rules across human fMRI and macaque electrophysiology data for insights into early visual alignment conservation
Action Steps
- Apply BP learning rule to human fMRI data to analyze early visual alignment
- Run PC learning rule on macaque V1/V2 electrophysiology data to compare results
- Configure STDP learning rule to evaluate its performance on macaque V4/IT multi-electrode data
- Test FA learning rule against human fMRI data to assess its conservation across species
- Compare results of different learning rules (BP, PC, STDP, FA) across human and macaque data
Who Needs to Know This
Neuroscientists and machine learning engineers can benefit from this research to develop more accurate models of brain function and learning rules
Key Insight
💡 Early visual alignment is qualitatively conserved across species, with STDP and PC leading in macaque V1/V2
Share This
🧠💻 Same learning rules (BP, PC, STDP, FA) yield similar results in human fMRI and macaque electrophysiology! 🤯 #MachineLearning #Neuroscience
Key Takeaways
Learn how to apply same learning rules across human fMRI and macaque electrophysiology data for insights into early visual alignment conservation
Full Article
Follow-up to my earlier post on learning rules vs. human fMRI. Same five conditions (BP, FA, PC, STDP, untrained), same model weights, now evaluated against macaque V1/V2 (FreemanZiemba2013, single-unit) and macaque V4/IT (MajajHong2015, multi-electrode). Main findings: Early visual alignment is qualitatively conserved across species. STDP (ρ ≈ 0.30) and PC (ρ ≈ 0.28) lead at macaque V1/V2, consistent with their position in human V1. The patt
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