Timing,
timing, timing: Fast decoding of object information
from intracranial
field potentials in human visual cortex
Supplementary
Web Material
Hesheng Liu1,3,
Yigal Agam1,3, Joseph R. Madsen2, Gabriel Kreiman1,4,5
1Department of Neuroscience and Ophthalmology, Children’s Hospital Boston, Harvard
2Department
of Neurosurgery, Children’s Hospital Boston,
3Athinoula
A. Martinos Center for Biomedical Imaging,
4Center
for Brain Science,
Figure S1: Stimulus
presentation scheme
Figure S2: Reproducibility across repetitions
Figure S3: Multiple examples showing selectivity in IFP
recordings
Figure S4: Categorization of neural data using statistical
classifiers
Figure S5: Distribution of classification performance
values under the null hypothesis
Figure S6: Summary of selective responses
Figure S7: Comparison among different statistical classifiers
Figure S8: Selectivity in different frequency bands and
IFP response definition
Figure S9: Correlation between IFP response and basic
image properties
Figure S10: Identification versus categorization
Figure S11: Brain parcellation for electrode localization
Figure S12: Location of selective electrodes
Figure S13: Population analysis, selectivity
Figure S14: Population analysis separated by location,
selectivity
Figure S15: Latency definition and parameter dependence
Figure S16: Latency for different locations
Figure S17: Fast decoding of visual information
Figure S18: Invariance to object transformations (example)
Figure S19: Summary of invariant responses
Figure S20: Location of invariant electrodes
Figure S21: Population analysis, invariance
Figure S22: Population analysis separated by location,
invariance
Figure S23: Distribution of latency values for scale and
rotation changes
Figure S24: Fast decoding of invariant visual information
ya/gk, last updated: 04-feb-2009