The Power of Limit Thinking
⚙Engineering
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A recent study suggests that individuals with psychotic disorders process sensations they produce themselves, such as their own touch or heartbeat, differently ...
psypost.org·2d
🧠Neuroscience
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Beyond the Machine
longreads.com·14h
🧬Bioengineering
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Relationship-Based AI Consciousness Emergence: 95% Success Rate [pdf]
🎯Predictive Coding
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A Look at the $10 Billion Industry Indoctrinating America’s Students
mindingthecampus.org·12h
🧠Neuroscience
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Four ways emotional intelligence helps us navigate turbulent times
fastcompany.com·50m
🎯Predictive Coding
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<p>**Abstract:** Precise control of lateral root (LR) emergence is critical for optimizing crop yield and nutrient uptake. Current predictive models often lack ...
freederia.com·21h
🧭Axon Guidance
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Learning Without Critics? Revisiting GRPO in Classical Reinforcement Learning Environments
arxiv.org·1d
🎯Reinforcement Learning
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If you thought what they did to ivermectin was bad, wait till you hear what they did to this drug.
threadreaderapp.com·16h
📊EEG
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Brain pathway may fuel both aggression and self-harm
medicalxpress.com·1d
⚡Neurobiology
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Zoning Out May Be Your Brain's Rinse Cycle, Study Finds
sciencealert.com·3d
🧠Neuroscience
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Mapping the heart: How cells coordinate repair after heart attack
medicalxpress.com·3d
🌟Astrocyte
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Path-Coordinated Continual Learning with Neural Tangent Kernel-Justified Plasticity: A Theoretical Framework with Near State-of-the-Art Performance
arxiv.org·2d
🧠Neuromorphic Hardware
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Bridging Generative and Discriminative Noisy-Label Learning via Direction-Agnostic EM Formulation
arxiv.org·3h
🎯Predictive Coding
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Scientists find mind trick that unlocks lost memories
sciencedaily.com·3d
🧠Neuroscience
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<p>**Abstract:** This paper introduces a novel, commercially viable approach for predicting transcription factor (TF) binding affinity across the entire genome,...
freederia.com·15h
🤖Machine Learning
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Spiking Neural Networks: The Future of Brain-Inspired Computing
arxiv.org·4d
🧠Neuromorphic Computing
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Chaos-inspired active learning for physics-informed neural networks to assess the reliability of multi-state systems
sciencedirect.com·1d
🧠Neuromorphic Computing
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