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Hyperdimensional space billiards12/1/2023 ![]() Holographic Reduced Representation: Distributed Representation for Cognitive Structures. How to Build a Brain: A Neural Architecture for Biological Cognition. Vector Symbolic Architectures Answer Jackendoff's Challenges for Cognitive Neuroscience.High-dimensional Computing as a Nanoscalable Paradigm.Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors.They can be combined using arithmetic operations such as multiplication, addition, and permutation, and be compared for similarity using distance metrics. Hypervectors can use various coding: dense or sparse, bipolar, binary, real, complex. Hypervectors are high-dimensional (e.g., 10,000 bits), (pseudo)random with independent identically distributed components leading to holographic representation (i.e., not microcoded). ![]() Furthermore it is memory-centric with embarrassingly parallel operations and is extremely robust against most failure mechanisms and noise. Computing with hypervectors, offers a general and scalable model of computing as well as well-defined set of arithmetic operations that can enable fast and one-shot learning (no need of backpropagation). The way the brain works suggests that rather than working with numbers that we are used to, computing with hyperdimensional (HD) vectors, referred to as “ hypervectors,” is more efficient. Introduction to Hyperdimensional Computing ![]() Please let us know if you have any related project. Here, we aim to provide a comprehensive collection of projects using hyperdimensional computing. Collection of Hyperdimensional Computing Projects ![]()
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