Vineet

@virati
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284 Posts
"Too much sanity may be madness — and maddest of all: to see life as it is, and not as it should be!"
Professional Tootinghttps://neuromatch.social/@vineettiruvadi
I guess I'll migrate once this account's archive is downloaded. Not entirely sure how to go about decision-making - this is all a frontier.
Heat diffusion vs. wave equation on a surface. https://en.wikipedia.org/wiki/Laplace%E2%80%93Beltrami_operator
Laplace–Beltrami operator - Wikipedia

Trying to figure out if I should migrate this account over to neuromatch.social or not.

I used twitter broadly - I liked spanning the wide spaces. Neuro was a part of that, but I didn't want to only see neuro.

This account could stay that "broad" effort, and I could just have a separate account for more professional neuro/engineering focus...

Every news outlet should stand up a Mastondon instance for their reporters & staff.

It’ll be great to see [email protected] or whatever domain they want to use.

Built in verification. Every reporter for the Washington Post on a washpo domain. Every reporter for the New York Times on an NYTimes domain. Etc, etc.

Plus the “local” feed for each instance becomes a feed of all the posts from that institution mixed together — providing extra discovery.

A somewhat technical question: what is the average coherence time of each sort of brain oscillation?

How long do predictable periodicity relationships last for, say, theta oscillations?*

If the phase coherence is on the order of one or two 'oscillations', then all phase-based data analyses are really just indirect ways of telling us about not-quite-oscillatory time-domain fluctuations, right?

__
* add whatever caveats and contexts you like. :)

#Neuroscience #BrainRhythms #BrainWaves

Next, I want to thank everyone who supported the digital migration of hundreds of thousands of people (and counting) in just a few weeks:
- creating tools to find each other
- writing how-tos
- joining mod teams
- telling us how not to do things, then listening & making changes, which is about as democratic as most things get

Next: all who created new instances. Each time you give a home to someone new, you bring the miracle of a whole new person to the relationships and conversation here

Hi everyone 👋​! Another #introduction as I just moved instance.

I am an Associate Prof. at Harvard Medical School, and am interested in figuring out how the brain works 🧠​. In particular, how do its neural dynamics implement the probabilistic computations required for efficient behavior? We ask this question from the theoretical perspective 💻​, using tools from machine learning and physics, and collaborate with experimentalists 🐭​🙈​👤​ to test the arising theories.

In the past I have worked a lot on decision-making - both perceptual and value-based - normative models for the speed-accuracy trade-off, and how this relates to decision confidence and attention. Currently, we are looking into probabilistic reasoning about more structured objects, like hierarchies, and at efficient navigation in light of uncertain sensory information.

Happy to be here!

#neuroscience
#neuroAI

AI's aren't sentient. They can't "steal."

Programmers and institutions select the data with which to train the model. They take art and writing from artists and authors without credit or payment. The software then remixes and mimics what it is given.

Displacing agency by attributing intent to the AI is exactly how people and institutions erase human action in the creation of technology. It also leads to further perceptions of technology as acultural, unbiased, and, in essence, magical.

Scientific Data

A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults
https://www.nature.com/articles/sdata2018308

A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults - Scientific Data

Design Type(s) parallel group design • data collection and processing objective Measurement Type(s) brain measurement • behavior Technology Type(s) magnetic resonance imaging • questionnaire Factor Type(s) age • biological sex • handedness Sample Characteristic(s) Homo sapiens • brain Machine-accessible metadata file describing the reported data (ISA-Tab format)

Nature