mike freund
@mikefreund.bsky.social
forever a student
currently a post-doc @ sites.brown.edu/badrelab
curious about control of decision making, neural dynamics, multivariate stats
mcfreund.github.io
currently a post-doc @ sites.brown.edu/badrelab
curious about control of decision making, neural dynamics, multivariate stats
mcfreund.github.io
Reposted by mike freund
Ellis starting the day off by reading out Carl Sandburg's poem "Chicago" in its entirety.
November 6, 2025 at 4:16 PM
Ellis starting the day off by reading out Carl Sandburg's poem "Chicago" in its entirety.
I'm really curious what factors drive var(nTc). Both from basic perspective, but also from practical -- of someone that wants to put these dynamics under tighter experimental control / to have more certainty about what's happening when :)
September 19, 2025 at 4:07 PM
I'm really curious what factors drive var(nTc). Both from basic perspective, but also from practical -- of someone that wants to put these dynamics under tighter experimental control / to have more certainty about what's happening when :)
It is so interesting that the nTc is so variable across trials.
But this is also sobering: clearly, time-aligned trial averaging has *deep* flaws -- yet so much of human cog neuro relies on it, due to unavailability of high-SNR recordings...
But this is also sobering: clearly, time-aligned trial averaging has *deep* flaws -- yet so much of human cog neuro relies on it, due to unavailability of high-SNR recordings...
September 19, 2025 at 4:07 PM
It is so interesting that the nTc is so variable across trials.
But this is also sobering: clearly, time-aligned trial averaging has *deep* flaws -- yet so much of human cog neuro relies on it, due to unavailability of high-SNR recordings...
But this is also sobering: clearly, time-aligned trial averaging has *deep* flaws -- yet so much of human cog neuro relies on it, due to unavailability of high-SNR recordings...
You sound like an all-American to me !
September 13, 2025 at 8:21 PM
You sound like an all-American to me !
post-script: "all-american upbringing" seems to preclude this usage
September 12, 2025 at 10:47 PM
post-script: "all-american upbringing" seems to preclude this usage
i think it could have a variety of connotations (see other comments), but one dominant usage is in reference to being competitive in athletics or academics on national scale, a la en.wikipedia.org/wiki/All-Ame...
All-America - Wikipedia
en.wikipedia.org
September 12, 2025 at 10:44 PM
i think it could have a variety of connotations (see other comments), but one dominant usage is in reference to being competitive in athletics or academics on national scale, a la en.wikipedia.org/wiki/All-Ame...
…Btw I do not mean to suggest there is no worth to mixed-selective perspectives, or that they are wrong! Personally I have just struggled when thinking about how exactly to provide strong positive evidence for them. And curious to hear your perspective.
September 6, 2025 at 6:08 PM
…Btw I do not mean to suggest there is no worth to mixed-selective perspectives, or that they are wrong! Personally I have just struggled when thinking about how exactly to provide strong positive evidence for them. And curious to hear your perspective.
You can’t be, until you find one :) Its existence is not guaranteed. The same I do not think is true for the mixed basis case. IMO, this is what often makes it compelling when an interpretable factorized basis is identified.
September 6, 2025 at 6:08 PM
You can’t be, until you find one :) Its existence is not guaranteed. The same I do not think is true for the mixed basis case. IMO, this is what often makes it compelling when an interpretable factorized basis is identified.
What appears mixed and non-linear from one basis could be sparse & factorized from another. When you see mixed selectivity, how can you be confident that your basis isn't just wrong?
doi.org/10.1038/s415...
doi.org/10.1038/s415...
Frontal cortex neuron types categorically encode single decision variables - Nature
Frontal cortex neurons can be grouped into categorical response types corresponding to particular decision variables, such as reward size, decision confidence, or value, and individual variables may b...
doi.org
September 6, 2025 at 1:49 PM
What appears mixed and non-linear from one basis could be sparse & factorized from another. When you see mixed selectivity, how can you be confident that your basis isn't just wrong?
doi.org/10.1038/s415...
doi.org/10.1038/s415...
What is this, a fitness test for Presidents?
August 14, 2025 at 1:09 AM
What is this, a fitness test for Presidents?
Fully agree. Our story feels incomplete to me without those things, but we simply had to get it out the door. But, I think Todd & co. are working on those follow-ups now!
May 23, 2025 at 7:29 PM
Fully agree. Our story feels incomplete to me without those things, but we simply had to get it out the door. But, I think Todd & co. are working on those follow-ups now!
of course, don't mean to imply that one method is better or more sensitive in general than the other (that depends on exp design & theoretical questions). just that they can be sensitive to different neural features.
May 23, 2025 at 4:42 PM
of course, don't mean to imply that one method is better or more sensitive in general than the other (that depends on exp design & theoretical questions). just that they can be sensitive to different neural features.
:) Borne mostly from reflecting on reactions from family/friends ("you're STILL in school/a student?!") --- yes, aren't we all?
May 23, 2025 at 4:34 PM
:) Borne mostly from reflecting on reactions from family/friends ("you're STILL in school/a student?!") --- yes, aren't we all?
(...but correct me if i'm misremembering)
So the decoders we used didn't require the neural signatures to be aligned across subjects, but only across sessions w/in subject. Seems likely that at finer spatial scales, multi-subj decoders would lose sensitivity more quickly than subject-specific ones.
So the decoders we used didn't require the neural signatures to be aligned across subjects, but only across sessions w/in subject. Seems likely that at finer spatial scales, multi-subj decoders would lose sensitivity more quickly than subject-specific ones.
May 23, 2025 at 4:28 PM
(...but correct me if i'm misremembering)
So the decoders we used didn't require the neural signatures to be aligned across subjects, but only across sessions w/in subject. Seems likely that at finer spatial scales, multi-subj decoders would lose sensitivity more quickly than subject-specific ones.
So the decoders we used didn't require the neural signatures to be aligned across subjects, but only across sessions w/in subject. Seems likely that at finer spatial scales, multi-subj decoders would lose sensitivity more quickly than subject-specific ones.
hey thanks for mentioning David! Interesting ideas in this thread. Yes we were able to identify relatively reliable signatures at the region level. One potentially relevant difference btw our studies: our decoders were subject-specific, whereas yours were fitted on data from multiple subjs, IIRC.
May 23, 2025 at 4:28 PM
hey thanks for mentioning David! Interesting ideas in this thread. Yes we were able to identify relatively reliable signatures at the region level. One potentially relevant difference btw our studies: our decoders were subject-specific, whereas yours were fitted on data from multiple subjs, IIRC.