Papers (PDF)

• Ising models and neural networksH.G. Schaap
• Self-correcting quantummemories in 3 dimensions or(slightly) lessCourtney BrellLeibniz Universität Hannover
• Dynamical Ising models foranalysis of neural data
• Memory Effects in Spin Glasses 
• Simulating spin models on GPULecture 2: Local updates for Ising and Heisenbergmodels
• Regular Lattice and Small-World Spin ModelSimulations using CUDA and GPUs
• Efficient and optimal binary Hopfield associativememory storage using minimum probability flow 
• SIMULATION OF ISING SPIN MODELUSING CUDA 
• Swendsen-Wang Multi-Cluster Algorithmfor the 2D/3D Ising Model onXeon Phi and GPU
• The Hopfield Model
• GPU accelerated Monte Carlo simulations of lattice spin models
• Neural Computation and Memory
• 3D Lattice Monte Carlo Simulations on FPGAs
• SPIN GLASS THEORY 
• Spin Glasses: Still ComplexAfter All These Years?
• Introduction to Mean-Field Theory of SpinGlass Models 
• The Replica Approach: Spin and StructuralGlasses
• Hopfield networks
• Recalling of Images using Hopfield Neural NetworkModel 
• The Hopfield Model 
• HOPFIELD MODEL OF NEURAL NETWORK
• Hopfield Networks
• The Hopfield Neural Network Model 
• Hopfield Network
• The relation between quantum mechanics and higher brainfunctions: Lessons from quantum computation andneurobiology
• El pensamiento cuántico. Una propuesta teórica
• La física cuánticaen el pensamiento, la accióny el sistema neuronal
• La neurología cuántica podría explicar losmecanismos de la conciencia 
• Primer mapa del cerebro humano 
•  Cerebro, un universoen 1.300 gramos
•  CEREBRO Y MEMORIA
• Historia  de  las  Imagines  Cerebrales  
• Keep  in  mind! 
• Deep Learning TutorialRelease 0.1 
• Deep learning
• Deep Learning
• A Tutorial on Deep LearningPart 1: Nonlinear Classifiers and The Backpropagation Algorithm
• Deep LearningTutorial
• The Mathematics of Deep Learning
• ¿QUÉ ES LA EPISTEMOLOGÍA EVOLUCIONISTA?
• Epistemología  Evolutiva  y  Organización  Biosemiotica
• Epistemología  Evolucionista
• LA EPISTEMOLOGÍA EVOLUCIONISTA BAJO LA CONCEPCIÓNDE LA TEORÍA NEUTRAL DE LA EVOLUCIÓN
• KARL R. POPPER Y LA EPISTEMOLOGIA EVOLUCIONISTA*
• LA ROBÓTICA EVOLUTIVA COMOEPISTEMOLOGÍA EXPERIMENTAL NATURALIZADA
• El  Perceptron
• Perceptron Learning 
• Perceptron  Redes  Neuronales  Artificiales
• El Perceptrón Simple
• Tema 8. Redes Neuronales 
• The Simple Perceptron
• Perceptron Learning Rule
• THE PERCEPTRON: A PROBABILISTIC MODEL FORINFORMATION STORAGE AND ORGANIZATIONIN THE BRAIN1
•  Topology Preserving Neural Networks that Achieve a PrescribedFeature Map Probability Density Distribution
•  Topology-Preserving Mappingsfor Data Visualisation
•  Self Organizing Maps: Fundamentals
•  Topology  Preservation  in  Self-Organizing  Feature  Maps: General Definition and  Efficient  Measurement
•  Kohonen Networks
•  A Logical Topology of Neural Networks
•  Topological Correlation 
• Topologic Representing  Networks 
• TOPOLOGY PRESERVING MAP
•  A Growing Neural Gas Network LearnsTopologies
•  What, if anything, are topological maps for? 
•  WHAT CAN TOPOLOGY TELL US ABOUT THENEURAL CODE?
•  Self-Organized Formation of Topologically Correct Feature Maps 
•  Learning metric-topological maps for indoormobile robot navigation 

Volver a Principal Página / Volver a la Página Media / 首页 / Заглавная страница  / मुखपृष्ठ / Hauptseite / Accueil / Pagina principale / Recepção / Strona główna / الصفحةالرئيسية / メ イ ン ペ ー ジ / 대문 / หน้า หลัก / Huvudsida / Κύρια πύλη / Etusivu / Hier / עמודראשי