Validation of the neural decoding pipeline.
<p>To validate our decoding approach, we trained neural decoders to distinguish the city observed during feedback on training trials. We then tested how well we could recover the chosen city on held out training trials. One functional run was held out at a time to assess decoding performance....
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| الملخص: | <p>To validate our decoding approach, we trained neural decoders to distinguish the city observed during feedback on training trials. We then tested how well we could recover the chosen city on held out training trials. One functional run was held out at a time to assess decoding performance. As training trials were not related to our hypotheses, we used the validation procedure to explore three possible time shifts (+4 s, + 5 s, + 6 s following feedback onset) and three possible smoothing levels (0 mm, 2 mm, 4 mm) that could be used to optimize decoder training. The validation results were based on 25 iterations. Data were subsampled at random on each iteration to match the number of trials from each class. The highest-performing decoding parameters were selected for each ROI based on the validation results. These parameters were later used when testing our hypotheses about neural reactivation during test tasks. <b>A</b>: Validation results for occipitotemporal cortex (OTC). The left subplot shows the mean decoding evidence for the selected city on held-out training trials for each combination of decoding parameters. The mean is taken across a 5 s window (3.75–8.75 s) following feedback onset. Bars indicate the standard error of the mean. The blue box denotes the decoding parameters with the highest validation performance. The right subplot shows the decoding time course based on those parameters. <b>B–D</b>: The remaining panels follow the same structure as A but present validation results for different brain regions. These include the medial temporal lobe (MTL) in B, the orbitofrontal cortex (OFC) in C, and the dorsolateral prefrontal cortex (DLPFC) in D. A–D: Materials to reproduce this figure are available at <a href="https://gin.g-node.org/sam.hall-mcmaster/sfgpi-neural-analysis" target="_blank">https://gin.g-node.org/sam.hall-mcmaster/sfgpi-neural-analysis</a>.</p> <p>(TIF)</p> |
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