Rahul Venugopal v37.0

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Rahul Venugopal v37.0

Rahul Venugopal v37.0

@rhlvenugopal

Cognitive Scientist | Consciousness - Human, Animal & Machine🔮 Wearables and AI. Engineer Neuroscientist | #Consciousness

Bengaluru Katılım Ocak 2010
1.8K Takip Edilen788 Takipçiler
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Shantala Hegde
Shantala Hegde@shantala_hegde·
'Shishurvetti Pashurvetti Vetti Vetti Ganarasam Phanih'. Music moves all souls; music is all pervasive. A great honor & a privilege to listen to true events highlighting the #powerofmusic, by Music Maestro @ilaiyaraaja Sir. #Musicforhealth. Blessed & humbled. Can't thank you enough for the trust you have placed in me & giving the needed strength to take the scientific work forward in the years to come. With great opportunities comes great responsibilities. Thank you- @OneMercuri @NIMHANS_BLR @MoHFW_INDIA for all the support & encouragement. @JPNadda @PMO #indianmusic #naada #frequencies #musiccogntion #musicbrain #musiccognitiveneuroscience
Ilaiyaraaja@ilaiyaraaja

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Vittorio Gallese
Vittorio Gallese@GalleseVittorio·
"Before we name, we touch. We propose that the roots of language lie not in abstract, amodal symbols but in early bodily experience." Our Opinion paper is out in TICS. Congrats Luca Sergey Rinaldi !! sciencedirect.com/science/articl…
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Pankaj
Pankaj@the2ndfloorguy·
i HATE people smoking around me in public. so i built a device that plays audio of a baby coughing and granny abusing in local language whenever it detects someone smoking nearby 🤬 it does person detection, spots cigarette in hand, and detects smoking gesture. all in realtime. used yolov8 + mediapipe with some finetuning. sarvam for audio. nothing fancy but it works. it runs on my raspberry pi. tested at a bus stand today. one guy actually looked around confused and put out his cigarette. he'll never know it was me. ^ initial version. demo on public photos. not putting real people for obvious reasons. working on a 3d printed proto of it, gonna put out soon as a little device :)
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Natalie Schaworonkow
Natalie Schaworonkow@nschawor·
IRASA is a method for separating 1/f & oscillatory parts in power spectra. timeseries are up- and downsampled with non-integer sampling rates. resulting PSDs are then averaged across different rates, which leads to dispersion of oscillatory peaks (to some extent).
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Mediterranean Society for Consciousness Science
🎉 APPLICATIONS ARE OPEN 🎉 Join the MESEC Winter School 2026 in Ephesus, Turkey, March 22–28. 🗓️☀️ A week of methods, ideas, and deep dives into consciousness with an international community. Apply now and share the call. 🧠 🔗 mesec.co/event/wintersc…
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Ponnurangam Kumaraguru “PK”
.@ANRFIndia PMECRG Proposal Writing Session brought together 90+ researchers and faculty gearing up to submit their proposals this year! 🚀📚 Good luck to everyone! 🙏 participants & Awardees for joining. Session recorded 🎥 video in comments 👇🏽 #DemocratiseResearch #ProfGiri
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Kording Lab 🦖
Kording Lab 🦖@KordingLab·
I think almost all scientific projects should be planned carefully. And I think an app can dramatically improve that. So I wrote an app for that (free for now, if you can fund this let me know). I tested it quite a bit (>8000 users in beta so far).
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Earl K. Miller
Earl K. Miller@MillerLabMIT·
Giant Shoulders podcast: Meet the MIT Neuroscientist Proving Brainwaves are the Secret to Consciousness. youtu.be/7OFb-NG3jIw #neuroscience
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Pankaj
Pankaj@the2ndfloorguy·
so things have finally settled down a bit after my last project blew up 🤯👇 • featured on 19 digital news & radio channels (even Red FM!) • shared by 50+ founders, creators & startup pages • got tons of kind words, shoutouts & DMs • really big accounts on X & Instagram reposted it • so many founders/builders reached out after seeing my old projects 🙏 5 years, 110+ project to get here. just keep showing up. keep building your thing. you never know :)
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vixhaℓ
vixhaℓ@TheVixhal·
Am I overreacting for leaving my girlfriend's family dinner after what her dad said? Dinner started out fine until her dad started asking me about my job. I work in IT, and while it pays well, it's not some high-status career. After a few questions, he smirked and said, "So basically you just sit behind a computer all day… not exactly the kind of guy I imagined for my daughter." Everyone kind of laughed awkwardly. I tried to brush it off with a joke, but then he added, "Maybe someday you'll get a real job so you can actually support a family." I felt my stomach drop. My girlfriend just said, "Dad…" but didn't defend me beyond that. The whole evening, I kept thinking: "How many more comments like this am I going to get?" It felt like these comments were coming at a steady rate - maybe one every 10 minutes. And that's basically what Poisson Distribution does: It predicts how many times something will happen in a fixed time period when events occur randomly but at a constant average rate. Poisson Distribution is a mathematical way to predict rare events that happen independently over time or space. Formula: P(X = k) = (e⁻λ × λᵏ) / k! Where: - k: Number of events - λ: Average rate per time period - e: Euler's number (≈ 2.718) - P: Probability of exactly k events Key Properties: - Mean = Variance = λ - Events are independent & random - Average rate stays constant Let's take a real example: A call center receives an average of 4 calls per hour. What's the probability they'll get exactly 6 calls in the next hour? Step 1: Identify the parameters - λ = 4 (average calls per hour) - k = 6 (exactly 6 calls we want) Step 2: Apply the formula P = (e⁻⁴ × 4⁶) / 6! Step 3: Calculate step by step - e⁻⁴ = 0.0183 - 4⁶ = 4,096 - 6! = 1 × 2 × 3 × 4 × 5 × 6 = 720 - P = (0.0183 × 4,096) / 720 - P = 0.104 Step 4: Convert to percentage - 0.104 × 100 = 10.4% Final Answer: There's a 10.4% chance they'll get exactly 6 calls in the next hour. Congratulations 🎉, you've just learned Poisson Distribution! Bonus: Applications in AI/ML 1. Recommendation Systems: Netflix uses Poisson to model how often users interact with content. "Given this user typically watches 3 movies per week, what's the probability they'll watch 5 this week?" 2. Fraud Detection: Banks use Poisson to detect unusual transaction patterns. If someone typically makes 2 transactions per day, 10 transactions might trigger fraud alerts. 3. Time Series Forecasting: Predicting rare events like: - System failures - Network outages - Security breaches Advanced Applications: Poisson Regression: When your target variable is a count (number of clicks, purchases, defects), Poisson regression is often better than linear regression. Queuing Theory: Modeling wait times in systems like customer service, traffic lights, or server requests. A/B Testing: Determining if changes in user behavior (clicks, purchases) are statistically significant when dealing with rare events. Poisson Distribution is the mathematical foundation for modeling random, independent events that happen at a predictable rate. Every time you need to predict "how many times" something rare will occur, Poisson Distribution is working behind the scenes.
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Chris Timmermann
Chris Timmermann@neurodelia·
We are looking for participants for a study of psilocybin and learning. Relevant for UK peeps
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Trung Phan
Trung Phan@TrungTPhan·
The best F1 partnership ever was when the Ferrari pit crew team helped a UK Children's Hospital improve its ICU hand-off process in the 1990s. A new protocol dropped the error rate from 30% to 10%. How? After reviewing surgery operation footage, Ferrari F1 advised: ▫️a new delivery theatre layout ▫️new checklists and to only give 1-2 tasks per person ▫️to assign a “lollipop man” (this is the pit crew person that holds a sign on a long stick and only waves a driver through after making sure everyone else on the team has put the tires on)
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Agustin Ibañez
Agustin Ibañez@AgustinMIbanez·
Creative Minds, Younger Brains: Engaging in music, dance, painting, or even (some) gaming is linked to delayed brain aging. Article: doi.org/10.1038/s41467…. 🧵1/5 Biophysical modeling, graph theory, and Neurosynth analyses reveal plasticity-driven efficiency in regions most vulnerable to aging. Out Today in @NatureComms, congrats @carlosmig_12 and colls! @CreativeAgeIntl @j_artshealthlab @CreativeBrainWk
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Manu Awasthi
Manu Awasthi@mnwsth·
I have been thinking of ways of carrying out research outside of the traditional model of career academics hiring PhD students and writing grants to fund their research. In the Indian context, the output of this model has been training PhD students and research papers, with a smattering of translation every so often. This doesn’t seem to be working along any of those three axes, even though the numbers for all of them are ever increasing. Clearly there is a need for a different model.
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