"It used to be thought that you needed to put needle-like electrodes into the brain surface in order to listen to signals of adequate quality” to interface with computers, Dr. Benjamin Rapoport recently told Ars Technica. Today, Precision Neuroscience is proving that assumption wrong. Check out the full article about “the brain-chip maker taking the road less invasive," in which Beth Mole explains how Precision’s approach differs from competing BCI strategies.
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Wenn Daten der Schatz sind ist Empathie der Schlüssel. Lassen Sie uns gemeinsam Ihren Datenschatz bergen!
Neuralink, the brain-machine interface company founded by Elon Musk, has made significant advancements in the field of neuroscience and technology. Read more 👉 https://lttr.ai/AP3Xa #SuccessfullyCarried #RoboticOperation #HumanBrain #AdvancementsMade #HostsRevolutionaryChip #MicroscopicElectrodeSensors #PreciseSurgicalTechniques #TargetingAreasRelated #BatteryPoweredComputerDevice
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Neuralink, the brain-machine interface company founded by Elon Musk, has made significant advancements in the field of neuroscience and technology. Read more 👉 https://lttr.ai/APO1t #SuccessfullyCarried #RoboticOperation #HumanBrain #AdvancementsMade #HostsRevolutionaryChip #MicroscopicElectrodeSensors #PreciseSurgicalTechniques #TargetingAreasRelated #BatteryPoweredComputerDevice
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Largest-ever 3D map of human brain created by Harvard and Google: Harvard and Google created the largest 3D map of the human brain, mapping 57,000 cells and 150 million synapses in a tiny fragment. #EarthDotCom #EarthSnap #Earth
Largest-ever 3D map of human brain created by Harvard and Google
earth.com
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AI & Data Marketing Maven: Turning Your Tech into Talk with a Dash of Humor and a Heap of Results – Let's Connect!
Neuralink, the brain-machine interface company founded by Elon Musk, has made significant advancements in the field of neuroscience and technology. Read more 👉 https://lttr.ai/APUVk #SuccessfullyCarried #RoboticOperation #HumanBrain #AdvancementsMade #HostsRevolutionaryChip #MicroscopicElectrodeSensors #PreciseSurgicalTechniques #TargetingAreasRelated #BatteryPoweredComputerDevice
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Dissociable components of attention exhibit distinct neuronal signatures in primate visual cortex SCIENCE ADVANCES https://lnkd.in/gBim2dBy
Dissociable components of attention exhibit distinct neuronal signatures in primate visual cortex
science.org
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Low-dimensional criticality embedded in high-dimensional awake brain dynamics SCIENCE ADVANCES https://lnkd.in/g23_BKkr
Low-dimensional criticality embedded in high-dimensional awake brain dynamics
science.org
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Excited to share our most recent article published in #NeuroImage. In this work, we proposed a #Neurocognitive Variational Autoencoder (NCVA) to conjoin high-dimensional #EEG with a cognitive model (Drift-Diffusion Model #DDM) in both generative and predictive modeling analyses. Importantly, NCVA enables both the generation of task-relevant EEG signals from behavioral data, and the modulation of EEG signals by cognitive model parameters. This allows a comprehensive understanding of the triplet relationship between #behavior, brain activity, and cognitive process of perceptual #decisionmaking. Paper: https://lnkd.in/gA_tAPin Code: https://lnkd.in/g-u2agJS
Deep latent variable joint cognitive modeling of neural signals and human behavior
sciencedirect.com
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Allen(Biology), Ex-Byju's, Ex- Unacademy, Owner of YouTube- Anamika's Eduspace, Vlogs at Sailing to Success
Winning the war in your mind! The Prefrontal Cortex (PFC) and hippocampus are the most critical parts of the human brain for decision making. The decision-making process contains four steps. 1. In the first step, some initial stimuli produced by sensory inputs, excite a set of hippocampal neurons as part of the neural system. 2. In the second step, a set of secondary stimuli arrives in the hippocampus, and the stimulusdriven neural response is produced as initial information for two entry stimulus sets in the hippocampus. 3. In the third step, the initial information is sent to PFC. The PFC determines the additional required information and retrieves complementary information from the hippocampus. 4. In the last step, the PFC decides the proposed controlling process in this study. However, there is a mutual communication between PFC and hippocampus with neural connectivity. This neural wiring makes closed-loop neural circuits to generate a preferred decision.
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Introduction: Currents in the brain flow inside neurons and across their boundaries into the extracellular medium, create electric and magnetic fields. These fields, which contain suitable information on brain activity, can be measured by electroencephalography (EEG), magnetoencephalography (MEG), and direct neural imaging. Methods: In this paper, we employed an electromagnetic model of the neuron activity and human head to derive electric and magnetic fields (brain waves) using a full-wave approach (ie. without any approximation). Currently, the brain waves are only derived using the quasi-static approximation (QSA) of Maxwell’s equations in electromagnetic theory. Results: As a result, source localization in brain imaging will produce some errors. So far, the error rate of the QSA on the output results of electric and magnetic fields has not been investigated. This issue has become more noticeable due to the increased sensitivity of modern electroencephalography (EEG) and magnetoencephalography (MEG) devices. This work introduces issues that QSA encounters in this problem and reveals the necessity of a full-wave solution. Then, a full-wave solution of the problem in closed-form format is presented for the first time. This solution is done in two scenarios: the source (active neurons) is in the center of a sphere, and when the source is out of the center but deeply inside the sphere. The first scenario is simpler, but the second one is much more complicated and is solved using a partial-wave series expression. Conclusion: One of the significant achievements of this model is improving the interpretation of EEG and MEG measurements, resulting in more accurate source localization. #BrainWaves, #QuasiStaticApproximation, #FullWaveAnalysis, #BrainImaging, #HumanHeadModeling
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