No. 7: Science of Intelligence: Computational Principles of Natural and Artificial Intelligence
All Papers
Principles of Noology: A Theory and Science of Intelligence for Natural and Artificial Intelligence
PDFUnsupervised Learning via Maximizing Mutual Information in Neural Population Coding
PDFContent-Dependent Fusion: Combining Human MEG and FMRI Data to Reveal Spatiotemporal Dynamics of Animacy and Real-world Object Size
PDFSparse Representation Learning Approach Resolves Deep Sources Underlying MEG and EEG Data
PDFFeynman Machine: A Novel Neural Architecture for Cortical and Machine Intelligence
PDFIntegrating Human Input for Decision Making with Informative Bayesian Beliefs
PDFActive Interpretation of Visual Situations
PDFGroup Invariant Deep Representations for Image Instance Retrieval
PDFLifelong Learning of Action Representations with Deep Neural Self-Organization
PDFNew Approaches for Studying Cortical Representations
PDFAnalysis of Human Attentions for Face Recognition on Natural Videos and Comparison with CV Algorithm on Performance
PDFTypes of Cognition and Its Implications for Future High-Level Cognitive Machines
PDFRepresentation Learning from Orbit Sets for One-Shot Classification
PDFMental Representations as Distribution-Sensitive Data Structures
PDFScale Invariant Value Computation for Reinforcement Learning in Continuous Time
PDFHuman Learning in Atari
PDFComputational Vision for Social Intelligence
PDFPredicting When Eye Fixations Are Consistent
PDFA Model for Interpreting Social Interactions in Local Image Regions
PDFMarkov Transitions between Attractor States in a Recurrent Neural Network
PDFModeling the Resituation of Memory in Neurobiology and Narrative
PDFEccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision
PDFMultiple Plasticity Mechanisms Enhance Associative Memory Retrieval in a Spiking Network Model of the Hippocampus
PDFOn Active Video Summarization: Customized Summaries via On-Line Interaction with the User
PDFGetting Up to Speed on Vehicle Intelligence
PDFIs the Human Visual System Invariant to Translation and Scale?
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