@BioAI_Neuro @BioAI_NeuralNet
@MIT trained Neuroscientist interested #Neural_Nets, #BioAI, #NeuroAI 🧠⚡🤖 https://t.co/mrNBAVydzT 🎯 [email protected] Texas, United States Joined April 2023-
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Inspired by @SGRodriques’s 12 Millennium Problems in Biology, I put together 20 open problems in neuroscience that I believe are worth tackling over the coming decade. These are meant to spark curiosity, discussion, and new ideas—not to be definitive. I’m a researcher/neurophysiologist sharing this purely as a hobby and for fun. I have no commercial interests and currently represent no company or organization as of now! #Neuroscience #NeuroAI #BioAI #NeuralNetworks #BrainResearch #ComputationalNeuroscience #SystemsNeuroscience #Neurotechnology #Connectomics #Neurobiology #FutureOfNeuroscience #OpenProblems
An integrative data-driven model simulating C. elegans brain, body and environment interactions nature.com/articles/s4358… Summary Modern neuroscience can now map the connectome which is the detailed wiring diagram of large neural circuits and even entire brains. But this study asks an important question: Does knowing the wiring alone tell us how the brain functions? The authors developed a connectome-constrained neural network framework. A “teacher” network represents the real neural system, while a “student” network has the same connectivity and synaptic weights, but different unknown biophysical properties, such as neuronal and synaptic parameters. The key finding is that connectivity alone often does not sufficiently constrain neural dynamics. Many different patterns of neural activity can arise from the same wiring diagram when the underlying biophysical parameters are uncertain. However, recording activity from even a small number of strategically selected neurons can greatly reduce this uncertainty. These recordings help constrain the student network so that its dynamics more closely match those of the teacher. Main message A connectome tells us how neurons are wired, but not necessarily how the network computes. To predict brain dynamics, connectomics may need to be combined with functional recordings and biophysical measurements. Importantly, the framework can also identify which neurons should be recorded to obtain the most information.
Well done! Great job
Large Drug Discovery Model is out! I am exited to introduce our new generative SBDD framework. We experimentally validated LDDM across 5 targets and successfully designed novel, validated hits with structural accuracy confirmed by X-ray. Preprint: biorxiv.org/content/10.648… 🧵 1/7
Probably, I should present a detailed slide deck as a “tweet journal club” here later this week. So many things to discuss and share :)
Prediction of neural activity in connectome-constrained recurrent networks nature.com/articles/s4159… Summary: Modern neuroscience can now map the connectome—the detailed wiring diagram of large neural circuits and even entire brains. But this study asks an important question:
@MichaelLinLab Patching is low throughout and would be nice to carry out voltage indicator imaging to complement!
@MichaelLinLab Honestly, my method of choice is whole-cell patch-clamp physiology which is gold standard to obtain both passive and active electrical properties that are crucial for neural computations :)
"A connectome often does not… constrain the dynamics of recurrent networks, illustrating the difficulty of inferring function from connectivity alone. However, recordings from a small subset of neurons can remove this degeneracy" And that's why you need voltage indicators folks
Prediction of neural activity in connectome-constrained recurrent networks nature.com/articles/s4159… Summary: Modern neuroscience can now map the connectome—the detailed wiring diagram of large neural circuits and even entire brains. But this study asks an important question:
@Drjab699John Honestly, answering many of these questions could take decades, and some may not be solved within our lifetimes. I just wanted to humbly share this perspective. My favorite topic is bridging NeuroAI + NeuroAging + Electrophysiology
@GayaScienza_GSM @SGRodriques Open for collaborations always :)
@markwbudde Please check this: x.com/BioAI_NeuralNe…
Inspired by @SGRodriques’s 12 Millennium Problems in Biology, I put together 20 open problems in neuroscience that I believe are worth tackling over the coming decade. These are meant to spark curiosity, discussion, and new ideas—not to be definitive. I’m a
These are fascinating problems. However, many equally important questions in neuroscience remain unlisted.
In light of the progress in mathematics, we at Edison Scientific and FutureHouse have assembled a set of Millennium Problems for Biology. They are chosen to be very hard to solve but very easy to validate in a simple laboratory environment. Any of these, if solved, would mark a
PLEASE let me know your thoughts and suggest other missing important neuroscience question here
@0xLenx Yes, agree. But, still need electrophysiology datasets to validates connectomes.
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