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Research map / Probabilistic and scientific modeling / Dynamical systems

Neural Topographic Factor Analysis for fMRI Data

NeurIPS 2020 · Probabilistic and scientific modeling › Dynamical systems · approach: Functional connectivity modeling · 4 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use NTFA's participant and stimulus embeddings with neural mappings instead of HTFA's shared hierarchical templateHTFA · Syntheticlog-predictive probability: -4.72 imes 10^6 -> -4.68 imes 10^6Helped
Use NTFA's participant and stimulus embeddings with neural mappings instead of HTFA's shared hierarchical templateHTFA · ThreatVidslog-predictive probability: -2.23 imes10^9 -> -2.19 imes 10^9Helped
Use NTFA's participant and stimulus embeddings with neural mappings instead of HTFA's shared hierarchical templateHTFA · Leppinglog-predictive probability: -2.54 imes 10^9 -> -2.47 imes 10^9Helped
Use NTFA's participant and stimulus embeddings with neural mappings instead of HTFA's shared hierarchical templateHTFA · Haxbylog-predictive probability: -7.17 imes 10^8 -> -7.10 imes 10^8Helped

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