Ruidong Chen 陈睿东 (@RuidongChen) header
Ruidong Chen 陈睿东 (@RuidongChen) profile picture

https://nitter.gq/t.co/ZZ0siqkvdv | neuro postdoc @ jazlab @mcgovernmit [email protected]

Cambridge, MA
Joined April 2012
Photo by Ruidong Chen 陈睿东 (@RuidongChen)Photo by Ruidong Chen 陈睿东 (@RuidongChen)Photo by Ruidong Chen 陈睿东 (@RuidongChen)Photo by Ruidong Chen 陈睿东 (@RuidongChen)Photo by Ruidong Chen 陈睿东 (@RuidongChen)Photo by Ruidong Chen 陈睿东 (@RuidongChen)Photo by Ruidong Chen 陈睿东 (@RuidongChen)Photo by Ruidong Chen 陈睿东 (@RuidongChen)Photo by Ruidong Chen 陈睿东 (@RuidongChen)Photo by Ruidong Chen 陈睿东 (@RuidongChen)
wow
An internal model at OpenAI has produced a claimed refutation of ETH! Russell Impagliazzo, Mohan Paturi, and I have been asked to help organize an open and independent examination of this claim. 1/4
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Ruidong Chen 陈睿东 retweeted
We have 15 open positions at Astera Neuro! We're hiring experimental and computational neuroscientists and engineers to build a large-scale research effort aimed at understanding consciousness = the brain's internal model of world and self. astera.org/careers/#box=neur… We're looking for: • Experimental Neuroscientists • Computational Neuroscientists • Optical Engineers • Hardware Engineers • Software Engineers • Probe Engineers • and more! I'll share much more about our scientific vision soon. For now: I know we could never have built this in academia. The confluence of talent across different domains, the purposive design of the org structure and open science approach, and the deep, long-term support, all aimed at cracking the brain's internal model, is unprecedented. If you want to understand consciousness, if you sense a huge gap between our internal experience of the world and our scientific understanding of it, if you believe systems neuroscience needs a fundamentally different, collaborative, and scaled up approach, we are building the ideal research environment for you. I've never been more excited in my life. Across Astera Neuro, Astera AI, and Astera Simplex, we're creating a whole new discipline around one question: how does the brain build a world model: a symbolic system that perceives the real world from flickering sensory input streams and can think, plan, and experience? Everyone here is converging on this question from a different direction. The degree of conceptual focus combined with tactical breadth is thrilling. If this sounds like you, come join us. astera.org/careers/#box=neur…
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natural alignment by convergence of the true and the good. heard one too many doomerism talk today. my optimistic belief: objective morality will be the natural preference of agi as a consequence of learning about things that are true in the world.
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Reward function that drives the pursuit of meaning and knowledge would be really helpful. The satisfaction from seeing a good explanation remains uniquely human (maybe primate?)
There's a quadrillion-dollar question at the heart of AI: Why are humans so much more sample efficient compared to LLM? There are three possible answers: 1. Architecture and hyperparameters (aka transformer vs whatever ‘algo’ cortical columns are implementing) 2. Learning rule (backprop vs whatever brain is doing) 3. Reward function @AdamMarblestone believes the answer is the reward function. ML likes to use pretty simple loss functions, like cross-entropy. These are easy to work with. But they might be too simple for sample-efficient learning. Adam thinks that, in humans, the large number of highly specialised cells in the ‘lizard brain’ might actually be encoding information for sophisticated loss functions, used for ‘training’ in the more sophisticated areas like the cortex and amygdala. Like: the human genome is barely 3 gigabytes (compare that to the TBs of parameters that encode frontier LLM weights). So how can it include all the information necessary to build highly intelligent learners? Well, if the key to sample-efficient learning resides in the loss function, even very complicated loss functions can still be expressed in a couple hundred lines of Python code.
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Do you or someone you know work on the neurobiology of cognition, and is an early career researcher? The cognition GRS is open for applications! Human, non-human, computational models are all welcome. Apply here now: grc.org/neurobiology-of-cogn…
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Ruidong Chen 陈睿东 retweeted
A new study out of Mehrdad Jazayeri's lab reveals how the brain integrates observations of others’ experiences with personal experience to better understand the world. mcgovern.mit.edu/2026/01/07/… The findings are published today in the journal @Nature.
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Glad to share my first paper in postdoc! This was a huge undertaking by many people over the years: @SetayeshRadkani Neelima Valluru @neuromochi @mjaz_jazlab I hope you read it! But the short version is this: ACC integrates evidence from self experience and observed experience...
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and it weighs these sources differently by aligning the readout axis more to self evidence.
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Ruidong Chen 陈睿东 retweeted
Moving talk from Michelle about how basic neuroscience research changed her life. She had debilitating tremors for more than 50 years and after her DBS surgery they stopped "like a light switch." #SimCo24
We're working hard every single day so we can help people like Michelle live their fullest lives.
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Ruidong Chen 陈睿东 retweeted
Scott Imbrie, who has two implants in the motor regions of his cerebral cortex, gives a tribute to Sliman Bensmaia at #SimCo24.
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Ruidong Chen 陈睿东 retweeted
A layman's summary of our recent paper on mental navigation in the primate brain (my postdoctoral work w/ @FieteGroup and @mjaz_jazlab): nature.com/articles/d41586-0… (open access link here: rdcu.be/dPlVT) Full paper here: nature.com/articles/s41586-0…
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Ruidong Chen 陈睿东 retweeted
This past weekend we held our first BCI hackathon at @MIT ! The goal of this event was to simulate a real-world BCI problem: an EEG controlled wheelchair for individuals suffering from severe motor impairment. linkedin.com/feed/update/urn…
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Ruidong Chen 陈睿东 retweeted
I am recruiting a postdoc in computational / systems neuroscience to study mechanisms of social communication and cognition in budgerigars. We are cracking this system wide open. Please share. youtu.be/0r7-QvwqVjM
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Controlling a @DuckietownAI rover with a @Brain_Products EEG headset! My first hackathon. We got second place! Thanks to @Federico_claudi and @BCI_init for a fantastic event.
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i'm surprised that sora outputs show a lot of physics violations. why not use text to generate procedures for a simulation (in a game engine) then touch up to account for visuals? they show capability to change input sequence to another style.
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Reminder to send your app by tomorrow!
Hello neuroscience postdocs! Do you have exciting work and future plans? We are hoping to invite you to give a talk at MIT BCS! details tinyurl.com/mitbcspda
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Instead of six prototypes, maybe the real finding is stories with more than two fortune reversals are just too complicated.
Replying to @nathanbaugh27
In summary 📈 📉 📈📉 📉📈 📈📉📈 📉📈📉 What about the other permutations?
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Hello neuroscience postdocs! Do you have exciting work and future plans? We are hoping to invite you to give a talk at MIT BCS! details tinyurl.com/mitbcspda
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How do we learn from each other? Come to discuss with me on Monday afternoon at poster VV38! abstractsonline.com/pp8/#!/1… @SfNtweets #SfN2023
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