Description

.- Brain-inspired ComputingBrain-inspired Computing.
.- A Multiscale Resonant Spiking Neural Network for Music Classification.
.- Masked Image Modeling as a Framework for Self-Supervised Learning across Eye Movements.
.- Serial Order Codes for Dimensionality Reduction in the Learning of Higher-Order Rules and Compositionality in Planning.
.- Sparsity aware Learning in Feedback-driven Differential Recurrent Neural Networks.
.- Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion.
.- Cognitive and Computational Neuroscience.
.- Analysis of a Generative Model of Episodic Memory Based on Hierarchical VQ-VAE and Transformer.
.- Biologically-plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-encoded Distributions.
.- Dynamic Graph for Biological Memory Modeling: A System-Level Validation.
.- EEG features learned by convolutional neural networks reflect alterations of social stimuli processing in autism.
.- Estimat

Artificial Neural Networks and Machine Learning ICANN 2024

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Paperback by Michael Wand

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.- Brain-inspired ComputingBrain-inspired Computing..- A Multiscale Resonant Spiking Neural Network for Music Classification..- Masked Image Modeling as a Framework for... Read more

    Publisher: Springer
    Publication Date: 10/18/2024
    ISBN13: 9783031723407, 978-3031723407
    ISBN10: 3031723406

    Non Fiction , Computing

    Description

    .- Brain-inspired ComputingBrain-inspired Computing.
    .- A Multiscale Resonant Spiking Neural Network for Music Classification.
    .- Masked Image Modeling as a Framework for Self-Supervised Learning across Eye Movements.
    .- Serial Order Codes for Dimensionality Reduction in the Learning of Higher-Order Rules and Compositionality in Planning.
    .- Sparsity aware Learning in Feedback-driven Differential Recurrent Neural Networks.
    .- Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion.
    .- Cognitive and Computational Neuroscience.
    .- Analysis of a Generative Model of Episodic Memory Based on Hierarchical VQ-VAE and Transformer.
    .- Biologically-plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-encoded Distributions.
    .- Dynamic Graph for Biological Memory Modeling: A System-Level Validation.
    .- EEG features learned by convolutional neural networks reflect alterations of social stimuli processing in autism.
    .- Estimat

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