- A unifying framework from neural superposition to sparse interpretable codes
2026/07/14 by David Klindt, Charles O’Neill, Patrik Reizinger +2 · 2 voices
Computer Science · Neuroscience · #Artificial neural network #Deep neural networks #Embodied and Extended Cognition #Explainable Artificial Intelligence (XAI) #Face Recognition and Perception #Identifiability #Interpretability #Neural coding #Perspective (graphical) #Representation (politics) #Superposition principle
- Dynamic reversal of IT-PFC information flow orchestrates visual categorization under perceptual uncertainty
2026/06/12 by Zahra Abouhadi, Hamid Karimi-Rouzbahani · 1 voice
Neuroscience · #Categorization #Coding (social sciences) #Cognition #Face Recognition and Perception #Functional Brain Connectivity Studies #Information flow #Neural and Behavioral Psychology Studies #Neural coding #Perception #Perceptual system #Sensory system #Stimulus (psychology)
- Sparse-to-dense coding transformation between hippocampal areas CA3 and CA1
2026/05/27 by Shir R. Maimon, Tamir Eliav, Johnatan Aljadeff +7 · 1 voice
Neuroscience · #Coding (social sciences) #Hippocampal formation #Hippocampus #Memory and Neural Mechanisms #Neural coding #Neurogenesis and neuroplasticity mechanisms #Neuroscience and Neuropharmacology Research #Place cell #Spatial memory #Transformation (genetics)
- Information theoretic measures of neural and behavioural coupling predict representational drift
2026/02/17 by Kristine Heiney, Mónika Józsa, Michael E. Rule +3 · 2 voices
Neuroscience · #Face Recognition and Perception #Mutual information #Neural coding #Neural dynamics and brain function #Neurophysiology #Pairwise comparison #Population #Redundancy (engineering) #Salient #Stability (learning theory) #Stimulus (psychology) #Visual cortex #Visual perception and processing mechanisms
- Efficient coding in working memory is adapted to the structure of the environment
2026/01/01 by Qiaoli Huang, Christian F. Doeller · 1 voice
Neuroscience · Psychology · #Coding (social sciences) #Cognition #Cognitive Abilities and Testing #Encoding (memory) #Flexibility (engineering) #Magnetoencephalography #Memory Processes and Influences #Neural activity #Neural and Behavioral Psychology Studies #Neural coding #Working memory
- The fine line between dead neurons and sparsity in binarized spiking neural networks
2022/01/28 by Jason K. Eshraghian, Wei D. Lu, Wei Lü +2 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · Mathematics · Neuroscience · #Advanced Memory and Neural Computing #Algorithm #Artificial intelligence #Artificial neural network #Code (set theory) #Computer science #Discretization #Encoding (memory) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mathematics #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #Neural coding #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Pattern recognition (psychology) #Set (abstract data type) #Source code #Spike (software development) #Spiking neural network #cs.LG #cs.NE #q-bio.NC
- Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation
2020/10/29 by Hang Dong, Víctor Suárez-Paniagua, Dong, Hang +5 · 6 citations
Computer Science · #Artificial intelligence #Code (set theory) #Coding (social sciences) #Computer science #Deep learning #Embedding #Feature learning #Machine Learning in Healthcare #Machine learning #Natural Language Processing Techniques #Natural language processing #Neural coding #Topic Modeling #acm:68T07 #acm:68T50 #cs.CL #cs.LG #msc:68T07 #msc:68T50
- k-Sparse Autoencoders
2013/12/19 by Alireza Makhzani, Brendan Frey, Brendan J. Frey +2 · 65 citations
Computer Science · Engineering · #Algorithm #Anomaly Detection Techniques and Applications #Artificial intelligence #Autoencoder #Computer science #Deep learning #Domain Adaptation and Few-Shot Learning #Dropout (neural networks) #Encoding (memory) #FOS: Computer and information sciences #MNIST database #Machine Learning (cs.LG) #Machine learning #Neural coding #Noise reduction #Pattern recognition (psychology) #Sparse and Compressive Sensing Techniques #Sparse approximation #cs.LG
- The Sign Rule and Beyond: Boundary Effects, Flexibility, and Noise Correlations in Neural Population Codes
2013/07/31 by Yu Hu, Joel Zylberberg, Eric Shea‐Brown +1 · 1 citation
Biochemistry, Genetics and Molecular Biology · Mathematics · Neuroscience · Physics and Astronomy · Psychology · #Algorithm #Artificial intelligence #Coding (social sciences) #Cognitive psychology #Computer science #Correlation #ENCODE #Gene Regulatory Network Analysis #Generality #Mathematical analysis #Mathematics #Neural coding #Neural dynamics and brain function #Pattern recognition (psychology) #Physics #Population #Psychology #Speech recognition #Statistical physics #Statistics #Stimulus (psychology) #Theoretical computer science #Uniqueness #q-bio.NC #stochastic dynamics and bifurcation