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david zhou

@dvwz.bsky.social

neuroscientist and medical neurotechnologist interested in M/EEG, clinical translation, and consciousness science

34 Posts547 Follower640 Folgt
Nicholas Tolley@ntolley.bsky.social · 4mo ago

Measuring pre- to post/treatment EEG biomarkers has the potential to help with this goal, but current methods fail to link these biomarkers to concrete mechanisms of actions that causally alter the EEG. This missing link hinders the utility of EEG in advancing effective neurotherapeutics

Biophysical modeling allows for testing mechanistic hypotheses that explain how EEG biomarkers emerge and change with drugs. Hypotheses about which drug mechanisms lead to distinct brain activity patterns must be constructed, and corresponding model parameters identified.
david zhou@dvwz.bsky.social · 7mo ago

ok might as well come out and say it. for a creative hobby, i started working on a screenplay (spec script?) - an adaptation of Native Speaker by Chang-Rae Lee, a book i felt should have been adapted years ago. but it remains timely and perhaps even viable. AMA i guess!

Trends in Cognitive Sciences@cp-trendscognsci.bsky.social · 11mo ago

Online Now: Testing circuit-level theories of consciousness in humans

Testing circuit-level theories of consciousness in humans

Our understanding of the neural basis of consciousness is mostly restricted to large-scale brain activity patterns as measured by methods such as functional magnetic resonance imaging (fMRI) and magneto/electro-encephalography (M/EEG). In contrast, we lack even basic understanding of circuit-level mechanisms supporting consciousness – particularly in humans – despite the fundamental role that such mechanisms likely play in instantiating larger-scale brain activity patterns supporting conscious states and contents. Here, we review what progress has been made on circuit-level theories of consciousness (e.g., apical amplification theory, dendritic integration theory) and argue that such theories can be tested in humans using recently developed, state-of-the-art methods. Doing so will further facilitate translation of consciousness science into clinical settings and strengthen the bridge between circuit- and network-level theories of consciousness.

dlvr.it

david zhou@dvwz.bsky.social · 11mo ago

It's a privilege to be part of this new review in @cp-trendscognsci.bsky.social: Testing circuit-level theories of consciousness with modern neuroimaging and biophysical modeling 🧵 #eeg #consci #consciousness #neuroscience www.cell.com/trends/cogni...

Testing circuit-level theories of consciousness in humans

Our understanding of the neural basis of consciousness is mostly restricted to large-scale brain activity patterns as measured by methods such as functional magnetic resonance imaging (fMRI) and magne...

cell.com

Andrew (Andy) Dykstra@adykstra.bsky.social · 11mo ago

Our open-access article - Testing circuit-level theories of consciousness in humans - together with Yunkai Zhu, Carolina Fernandez Pujol, @dvwz.bsky.social, @jonescompneurolab.bsky.social, @tmarvan.bsky.social, and @danclab.bsky.social, was just published @cp-trendscognsci.bsky.social.

david zhou@dvwz.bsky.social · last yr.

An information theoretic and dynamical systems framework for the explanatory gap by deep learning researchers. "Sources of Richness and Ineffability for Phenomenally Conscious States" arxiv.org/abs/2302.06403

Sources of Richness and Ineffability for Phenomenally Conscious States

Conscious states (states that there is something it is like to be in) seem both rich or full of detail, and ineffable or hard to fully describe or recall. The problem of ineffability, in particular, i...

arxiv.org

Mark Peifer (He, him)@peiferlabunc.bsky.social · last yr.

If you've been calling Congress, keep calling & if not, start-we're getting their attention. We had a good visit to a Congressional office yesterday to discuss science funding & the staffer told us how busy they've been-usually the Senate shwitchboard gets 64 calls/minute-now they're getting 1600 🧪

Alisa Bokulich@alisabokulich.bsky.social · 3y ago

"246 biologists get different results from same data sets. Wide distribution of findings shows how analytical choices drive conclusions." #philsci 🌍 #evobio www.nature.com/articles/d41...

Reproducibility trial: 246 biologists get different results from same data sets

Wide distribution of findings shows how analytical choices drive conclusions. Wide distribution of findings shows how analytical choices drive conclusions.

nature.com

Berna Devezer@devezer.bsky.social · 3y ago

As I said elsewhere: What's supposed to be surprising about arriving at different results under different models making different assumptions, using different methods that also make different assumptions? It's almost as if our inference depends on the model & method. www.nature.com/articles/d41...

david zhou@dvwz.bsky.social · 3y ago

Is there a German word for having a cool idea but unsure if it’s cool enough that no one is currently doing it but not necessarily wanting to do it yourself due to other cool ideas still on the back burner but not wanting the opportunity pass by but weighing costs across all opportunities and decidi

david zhou@dvwz.bsky.social · 3y ago

“It’s impossible to find nothing.” - Buzsáki’s lab slogan, which he writes about in his book. I love this line. The context is that knowledge claims are plentiful, with whatever methods you choose, but the theoretical frameworks they support need to be chosen carefully.

megan peters 🧠@meganakpeters.bsky.social · 3y ago

y'all -- sky follower bridge is the sh*t. makes migration over here so much easier. starting to feel like this really could be a viable alternative and hopeful i won't lose my online community. thank you thank you to the developers. github.com/kawamataryo/...

GitHub - kawamataryo/sky-follower-bridge: Instantly find and follow the same users from your Twitter...

Instantly find and follow the same users from your Twitter follower on Bluesky. - GitHub - kawamataryo/sky-follower-bridge: Instantly find and follow the same users from your Twitter follower on Bl...

github.com