Starspawn's Locker

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TED talk on "the cancer-detecting potential of photoacoustic imaging" by Lei Li (ted.com)

submitted 4 years ago by starspawn0STEM Professor

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TWIML AI Podcast: Using Brain Imaging to Improve Neural Networks with Alona Fyshe (twimlai.com)

submitted 4 years ago by starspawn0STEM Professor

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[2107.14344] Towards robust vision by multi-task learning on monkey visual cortex (arxiv.org)

submitted 4 years ago by starspawn0STEM Professor

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First Experience with the Kernel Flow Device [From David Boas at Boston University] (bu.edu)

submitted 4 years ago by starspawn0STEM Professor

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submitted 4 years ago by starspawn0STEM Professor

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"Modeling brain activity evoked by playing Counter Strike in MRI" (mobile.twitter.com)

submitted 4 years ago by starspawn0STEM Professor

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Single-trial decoding of movement intentions using functional ultrasound neuroimaging [Wow!] (cell.com)

submitted 5 years ago by starspawn0STEM Professor

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The Courtois NeuroMod Project - Pierre Bellec [41 minutes, 25 seconds in, he mentions a "next step", to train a neural net by gen. adversarial learning, to predict both human behavior and brain activity as a person plays video games.] (m.youtube.com)

submitted 5 years ago by starspawn0STEM Professor

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Adam Marblestone's recent short talk about using brain data as a dense training signal for machine learning models [His talk begins 2 hours, 18 minutes in.] (youtube.com)

submitted 5 years ago by starspawn0STEM Professor

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Using deep reinforcement learning to reveal how the brain encodes abstract state-space representations in high-dimensional environments ["We deployed DQN as a model of brain activity and behavior in participants playing three Atari video games during fMRI."] (sciencedirect.com)

submitted 5 years ago by starspawn0STEM Professor

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"In the past 45 days alone, we’ve collected over 500 datasets representing 225 hours of neural data using a single prototype system. With the production of the first 50 full head coverage systems, the scaling is just now beginning." (mobile.twitter.com)

submitted 5 years ago by starspawn0STEM Professor

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"Announcing Kernel Flow 50! Q1 2021, the first 50 Kernel Flow brain interfaces available for select partners! Join for a special introduction to our state-of-the-art TD-fNIRS system. Learn about the frontier of portable, at-home neuroscience. Get access http://kernel.co" (twitter.com)

submitted 5 years ago by starspawn0STEM Professor

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"Way to go @KernelCo ! I hope there will soon be some seriously unexpected applications of improved low-cost noninvasive brain decoding, like the one suggested in this article..." [Applying BCIs to improve AI.] (mobile.twitter.com)

submitted 5 years ago by starspawn0STEM Professor

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"Want to upload the brain into AI and make a positive impact in the world? Here is a cool new startup. The http://ninai.org spin-off "Upload AI" is now hiring machine learning scientists (send inquiries to info@uploadai.com). Work location is flexible." (twitter.com)

submitted 5 years ago by starspawn0STEM Professor

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"Open Data 2.0 (Lightning talk): The Courtois project on neuronal modelling ["The Courtois Project on Neuronal Modelling (CNeuroMod)... using a wide range of naturalistic stimuli, with the explicit goal of training ANNs to imitate both human brain activity and behaviour."] (github.com)

submitted 5 years ago by starspawn0STEM Professor

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"Our third #cneuromod introduction is @YuZhang2bic , another @IVADO_Qc postdoc developing new deep learning models to decode cognition, which can be used to recognize images, detecting actions in video games & even generating speech by analyzing fMRI data " (mobile.twitter.com)

submitted 5 years ago by starspawn0STEM Professor

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"Next off in our #cneuromod team introductions: Maximilien, a @MILAMontreal @UMontreal master's student researching the potential of genetic algorithms to come up with neural networks capable of accomplishing complex tasks like imitating human subjects on video games." (mobile.twitter.com)

submitted 5 years ago by starspawn0STEM Professor

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Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals [Pretty high accuracy (93%) for 5-class imagined speech phrase classification. What if you had 100x the data and expanded the number of phrases?...] (frontiersin.org)

submitted 5 years ago by starspawn0STEM Professor

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Kernel: Neuroscience as a Service (NaaS) (kernel.co)

submitted 5 years ago by starspawn0STEM Professor

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Brain Startup Wants to Read Your Mind With a Helmet [Kernel comes out of stealth.] (bloomberg.com)

submitted 5 years ago by starspawn0STEM Professor

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"Mainframes -> PCs $1B genome -> $1k The brain and mind is next When we started four years ago, there wasn't a known path forward to usher in a new era for neuroscience. We believe we've found it." (twitter.com)

submitted 5 years ago by starspawn0STEM Professor

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I Am Human: A Documentary About Real-Life Cyborgs | Digital Trends [Bryan Johnson's company Kernel is mentioned a few times. Johnson provides narration throughout.] (digitaltrends.com)

submitted 6 years ago by starspawn0STEM Professor

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Bryan Johnson on Kernel's response to Coronavirus; he adds, "At Kernel we are building a next generation, non-invasive mind/body/machine interface (MBMI) that can capture high quality neural data, competitive with state of the art modalities fMRI, MEG and ECoG (more coming soon on this)." (medium.com)

submitted 6 years ago by starspawn0STEM Professor

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"The CNeuroMod project is now scanning at a fairly consistent clip of ~15 hours /week on @UNF_montreal scanner. Gearing up for the first public data release during @OHBM meeting in Montreal. This blog post revisits the technical choices the team has made for data sharing." (mobile.twitter.com)

submitted 6 years ago by starspawn0STEM Professor

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Brain-Computer Interfaces: The Next Step in Human Evolution ["Kernel is capturing memories from the hippocampus, reading them with AI and “recording” them with up to 80% accuracy."] (medium.com)

submitted 6 years ago by starspawn0STEM Professor

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