Chris at 20:46, 18 February 2020

2020-02-18T20:46:03Z

← Older revision		Revision as of 16:46, 18 February 2020
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	**We have feature production data and imagery and fMRI data for some number of participants.		**We have feature production data and imagery and fMRI data for some number of participants.
	**Is there a relationship between the probability of listing features of different types and their imagery?		**Is there a relationship between the probability of listing features of different types and their imagery?
	*Bayes Category Sensitivity		*Bayes Category Sensitivity (Avery)
	**~~I'm not sure what I was talking about here. It might be the toggling thing.~~		**Using category affiliation scores for a series of classifier networks in a Monte Carlo design
			**Uses Horikawa data
	*Feature Production to MRI Babelfish (Josh)		*Feature Production to MRI Babelfish (Josh)
	**We have fMRI patterns and feature listings for the same concepts		**We have fMRI patterns and feature listings for the same concepts
	**Can we find a relationship between, e.g., listing many auditory features and regional fMRI activity?		**Can we find a relationship between, e.g., listing many auditory features and regional fMRI activity?
	**Similar to the sensibility project, but on an individual differences level		**Similar to the sensibility project, but on an individual differences level

Chris: Created page with "=Preamble= The wall ideas is a digital version of the list on the whiteboard. It's a list of stray ideas that come up randomly when vacuuming or loading the dishwasher or duri..."

2020-02-18T20:44:40Z

Created page with "=Preamble= The wall ideas is a digital version of the list on the whiteboard. It's a list of stray ideas that come up randomly when vacuuming or loading the dishwasher or duri..."

New page

=Preamble=
The wall ideas is a digital version of the list on the whiteboard. It's a list of stray ideas that come up randomly when vacuuming or loading the dishwasher or during lab meeting. There's more ideas here than we can possibly explore, but it's a handy tool for those times when you think, "well, now what?"

=The List=
*Sensibility project (Jen, Erica)
**What sensorimotor modalities are salient (i.e., are "sensible") when you think about different categories?
**What makes them sensible? When answering this question, make sure your argument isn't circular!
*Classification Constrains Connectivity
**We already showed the reverse.
**The ABCD project data is going to sort of touch on this, but I wasn't planning on comparing a MCN vs. conventional connectivity
**Would probably benefit from some synthetic or benchmark dataset where we have a reference outcome
*In what domains does connectivity help classification?
**We showed the classifier was better when the autoencoder was present. Does this hold in other domains?
**Thinking genetics. The animal folks have some data.
*Graph Neural Networks (Chandola)
**Convolutional Neural Networks in the graph domain
*Randazzo Data
**Classifiers applied to EEG data to diagnose HoH from controls
*Feature Production Stream of Consciousness
**We have feature production data and imagery and fMRI data for some number of participants.
**Is there a relationship between the probability of listing features of different types and their imagery?
*Bayes Category Sensitivity
**I'm not sure what I was talking about here. It might be the toggling thing.
*Feature Production to MRI Babelfish (Josh)
**We have fMRI patterns and feature listings for the same concepts
**Can we find a relationship between, e.g., listing many auditory features and regional fMRI activity?
**Similar to the sensibility project, but on an individual differences level

Wall of Ideas - Revision history

Chris at 20:46, 18 February 2020

Chris: Created page with "=Preamble= The wall ideas is a digital version of the list on the whiteboard. It's a list of stray ideas that come up randomly when vacuuming or loading the dishwasher or duri..."