Medneed’s Post

The Incredible Computational Power of the Brain #BrainComputing #Neuroscience #AI #NeuralComputation #BrainPower #CognitiveScience #BrainFunction #ComputationalNeuroscience #LearningandMemory #PatternRecognition #EnergyEfficiency #Adaptability #Plasticity #FaultTolerance #EfficientLearning #BrainResearch #MindandMachine #NeuralNetworks #BrainInspiration #BrainScience

Coupling quantum-like cognition with the neuronal networks within generalized probability theory | by Andrei Khrennikov et al. | ArXiv The recent years are characterized by intensive applications of the methodology and mathematical apparatus of quantum theory, quantum-like modeling, in cognition, psychology, and decision making. In spite of the successful applications of this approach to a variety of psychological effects, e.g., the order, conjunction, disjunction, and response replicability effects, one may (but need not) feel dissatisfaction due to the absence of clear coupling to the neurophysiological processes in the brain. For the moment, this is just a phenomenological approach. In this paper we construct the quantum-like representation of the networks of communicating neurons. It is based not on standard quantum theory, but on generalized probability theory (GPT) with the emphasis of the operational measurement approach. We employ GPT's version which is based on ordered linear state space (instead of complex Hilbert space). A network of communicating neurons is described as a weighted ordered graph that in turn is encoded by its weight matrix. The state space of weight matrices is embedded in GPT with effect-observables and state updates within measurement instruments theory. The latter plays the crucial role. This GPT based model shows the basic quantum-like effects, as e.g. the order, non-repeatability, and disjunction effects; the latter is also known as interference of decisions. This GPT coupling also supports quantum-like modeling in medical diagnostic for neurological diseases, as depression and epilepsy. Although the paper is concentrated on cognition and neuronal networks, the formalism and methodology can be straightforwardly applied to a variety of biological and social networks. https://lnkd.in/esWK8ANe #quantum #AI #GPT #neuronal #biological #social #networks #graph #theory #cognition #psychology #neurophysiology #neuroscience

Newest in the #KempnerInstitute Seminar Series: Mark Churchland explains how the dizzying complexity of motor cortex activity can be decoded with the help of a small number of latent factors. Watch the full talk: https://lnkd.in/eVAphg5P #neuroscience #computational #modeling

🧠 Unlocking the Mystery of the Left Brain Interpreter: Understanding Split-Brain Experiments 🌟 Have you ever marveled at the intricate workings of the human brain? Dive into the captivating realm of split-brain experiments, where pioneering neuroscientists Roger Sperry and Michael Gazzaniga unveiled the enigmatic phenomenon known as the Left Brain Interpreter. In these groundbreaking experiments, researchers explored the profound implications of the brain's division into two hemispheres: the left and the right. While the left hemisphere reigns supreme in linguistic tasks, the right hemisphere excels in spatial mapping. Yet, it is the intricate interplay between these hemispheres, facilitated by the corpus callosum, that gives rise to our sense of a unified consciousness. Imagine a scenario where stimuli are presented separately to each hemisphere. When words are processed by the left hemisphere, patients can effortlessly articulate them. However, when processed by the right hemisphere, they are met with silence. This intriguing observation led to the discovery of the Left Brain Interpreter—a mechanism wherein the left hemisphere attempts to rationalize actions initiated by the right hemisphere. One of the most compelling experiments involved presenting images to each hemisphere simultaneously. Patients were tasked with selecting corresponding pictures using their left and right hands, each controlled by opposite hemispheres. Astonishingly, while they could accurately select pictures, they struggled to explain choices made by the right hemisphere. This phenomenon highlights the left hemisphere's propensity to fabricate explanations based on incomplete information—a fascinating insight into the complexities of human consciousness. The implications of these findings extend far beyond neuroscience, offering profound insights into human cognition and perception. By unraveling the mysteries of the Left Brain Interpreter, we gain a deeper understanding of how our brains construct reality and justify actions, even in the absence of complete knowledge. Join me on a journey into the fascinating world of split-brain experiments—a realm where science meets philosophy, and the boundaries of consciousness are continuously redefined. https://lnkd.in/djC83e9U #Neuroscience #Consciousness #BrainResearch #SplitBrainExperiments #LeftBrainInterpreter #ScienceOfMind

Transformers: Physics and Neurobiology Nucleus - Wave - Quantum - Interaction → Protons/Neutrons - Photons - Electrons - Chemical Bonds → Mass - Light - Energy - Interaction → Space - Gravity - Quantum - Interaction → Basis - Process - Result - Way → Glial Meshwork - Neural Network - Neuromediators - Blood Vessels → Intuition - Thinking - Sensing - Feeling → (Carl Jung) Knowledge - Consciousness - Understanding - Memory → Meaning - Information - Function - Learning → Structure - Stream - Result - Way → Space - Time - Energy - Interaction → https://lnkd.in/dtXc_N2X https://lnkd.in/ds9B9E5Q https://lnkd.in/dkRuryiW

Mapping the Brain with AI 🧠 Understanding Complexity: Neuroscientists aim to decode the brain, the most complex known object in the universe, through detailed mapping. 🔬 Connectomics: Introduced to map neural connections, drawing parallels to genomics which maps genes. 💻 Technological Advances: Modern technology significantly accelerates brain mapping, previously a lengthy and manual process. 🧪 Practical Applications: Insights from brain structure-function relationships aid in understanding brain operations and potential disorders. #BrainMapping #Connectomics #Neuroscience #TechnologyInResearch #NeuralConnections #CognitiveScience #MentalHealth #ScientificAdvances #DataVisualization #ComputationalNeuroscience

Exploring the Impact of Directional Connections on Complex Dynamics in Neuronal Networks

Comparative Analysis of Neuron Models 💥💥 GET FULL SOURCE CODE AT THIS LINK 👇👇 👉 https://lnkd.in/ddpdKPMH The neuronal models are crucial in understanding the behavior of neurons and neural networks in various physiological and pathological conditions. In this video, we will conduct a detailed comparative analysis of prominent neuron models, highlighting their strengths, limitations, and applications. A detailed examination of the Wilson-Cowan model, the Hodgkin-Huxley model, and the Integrate-and-Fire model will be conducted, providing insights into their capabilities in simulating various neural phenomena. The video will also explore the differences and similarities between these models, enabling a comprehensive understanding of their role in modern neuroscience. Understanding the intricacies of neuron models is essential for developing accurate simulation tools and elucidating the complex neural mechanisms underlying various neurological disorders. The study of neuron models can be a complex and challenging topic, but it is crucial for advancing our knowledge of the neural system. Additional Resources: cripts from the video can be used as a starting point for further reading and research. #stem #neuronalmodels #neuroscience #neurobiology #computationalneuroscience Find this and all other slideshows for free on our website: https://lnkd.in/ddpdKPMH #stem #neuronalmodels #neuroscience #neurobiology #computationalneuroscience https://lnkd.in/dnnx-fF7

Here it is ... Our very recent paper on Courbage-Nekorkin-Vdovin neuron model has just appeared in "Chaos: An Interdisciplinary Journal of Nonlinear Science" 🙂 https://lnkd.in/d5GUAsQy #neurodynamics #neuronModel #mathematics #dynamicalSystems

✨🧠At Baldmann, we’re diving deep into the fascinating world of brain-computer interfaces! Watch as we explore how the brain reacts during cognitive tasks, capturing EEG waves in real-time while our participant answers math questions.🧠✨ This experiment allows us to visualize the intricate relationship between thought processes and brain activity, showcasing the power of our technology. 💻💡 By engaging with simple mathematical challenges, we aim to uncover the neural dynamics behind problem-solving and cognitive engagement. 🌟Join us as we embark on this exciting journey to revolutionize human-computer interaction and unlock the mysteries of the mind and stay tuned for more insights and breakthroughs from Baldmann! 🌟 #BCI #Neuroscience #EEG #Innovation