Interpretable Latent Variable Models Demonstrate Flexible Neural Control of Spinal Motor Units
Explore interpretable machine learning models for analyzing neural activity, focusing on spinal motor control and challenging the rigid control theory of motor unit function.
Tool Kit for Dopaminergic Progenitor Cell Production
Explore techniques for efficient dopaminergic neuron production from iPSCs, focusing on WNT signaling optimization and tools addressing variable differentiation across cell lines.
Spatial Mapping of Pain-Associated G-Protein Coupled Receptors and Biomarker Localization in Mouse Brain Using RNAscope HiPlex v2
Explore spatial mapping of pain-related GPCRs and biomarkers in mouse brain using advanced RNAscope HiPlex v2 and RNA-protein co-detection techniques for single-cell resolution gene expression analysis.
PTS-ID: Developing Precision Behavioral Health Diagnostics for PTSD
Explore precision behavioral health diagnostics for PTSD with Dr. Tshaka Cunningham. Learn about genomics advancements, diversity in research, and innovative approaches to improve PTSD diagnosis and treatment.
The Known Unknowns: A Process for Bringing In Vivo CNS Dosing into Maturity
Explore challenges and approaches in maturing in vivo CNS dosing techniques. Gain insights on resolving unknowns and establishing best practices for reliable, reproducible data in this evolving field.
Engineering the Mind: Bridging Neurosurgery and Technology
Explore the revolutionary fusion of neurosurgery and technology with Dr. Raghuram G. Discover how engineering advancements are transforming healthcare, enhancing surgical precision, and shaping the future of medical innovation.
Classical and Deep Learning Approaches to Longitudinal Modeling in Neuroimages - CGSI 2024
Explore classical and deep learning methods for longitudinal modeling in neuroimaging, focusing on disease progression analysis and innovative techniques for tracking brain changes over time.
Стохастичний механізм підвищення селективності проекційних нейронів нюхової цибулини
Дослідіть стохастичні механізми та їх роль у підвищенні селективності нейронів нюхової цибулини, розкриваючи фундаментальні аспекти нейробіології.
脳の機能 - 厳密性と柔軟性 - チャプター5
脳皮質の機能における厳密性と柔軟性のメカニズムについて、最新の研究成果とライブ観察技術を通じた知見を探求する
ライブ観察で解く脳皮質形成のメカニズム - チャプター1：ニューロンのかたち
脳皮質形成のメカニズムについて、ニューロンの形態と特性を中 心に、最新の生体観察技術を用いた研究成果を解説。脳の発達過程における重要な知見を紹介。
Preguntas a un Cerebro Despierto - Entre Caos y Orden
Adéntrate en la vanguardia de la neurociencia con un pionero neurocirujano. Explora innovaciones en cirugía cerebral, desentraña misterios de la mente y descubre avances que redefinen la neurocirugía moderna.
Pragmatic Programming Essentials - Lessons from The Pragmatic Programmer
Explore pragmatic programming essentials with Andy Hunt, covering key principles, continuous learning, effective coding practices, and strategies for better software development and team dynamics.
Emotion, Fun, and Creativity in Game Design - Augmented Reality and the Metaverse
Explore emotion, fun, and creativity in gaming with neuroscientist Nicole Lazzaro and Jon Radoff. Discover the "4 Keys 2 Fun" methodology, AR's potential, and the future of immersive experiences in the metaverse.
Neurosymbolic Programming - An Emerging Subarea of AI
Explore neurosymbolic programming's fusion of deep learning and program synthesis, discovering how it enhances AI robustness, interpretability, and efficiency through symbolic and neural approaches.
Enhanced EEG Data Classification with 3D SNN and Online Learning ESN
Discover a novel hierarchical neural network architecture that combines 3D spiking neurons and Echo state networks for advanced EEG data classification and real-time brain signal interpretation.
The Bitter Lesson of Retrieval in Generative Language Model Workflows
Discover how leveraging data and compute in RAG architectures can enhance generative AI applications, with insights from YOKOT.AI's implementation for enterprise data solutions.
Data-Centric Approach to Machine Learning in Health Applications
Explore robust data management practices for machine learning in health applications, addressing common pitfalls and showcasing solutions from neuroscience and cell biology research.
AI on the Edge: Neuromorphic Computing - Session 2
Explore neuromorphic computing through research on brain-machine interfaces, electronic skin, hippocampal memory prostheses, and retina-inspired circuits.
Federated Learning and Integration of Biomedical Data
Explore federated learning for secure biomedical data collaboration, integrating data harmonization and imputation techniques. Discover applications in neuroimaging tasks.
Meta-Learning Through Hebbian Plasticity in Random Networks - Paper Explained
Explores biologically-inspired Hebbian learning for adaptive AI agents. Demonstrates how random neural networks can self-organize during runtime to solve RL tasks and adapt to new situations without fixed policies.
Orthogonalized Minimum Spanning Tree and Their Application for Human Brain Mapping - Paper Review
Explore Orthogonalized Minimum Spanning Trees for brain connectivity analysis. Learn about data-driven thresholding methods, their application in human brain mapping, and practical implementation through code examples.