Mapping Low-Dimensional Dynamics to High-Dimensional Neural Activity: A Derivation of the Ring Model From the Neural Engineering Framework [PDF]
Neural Computation, 2021 Empirical estimates of the dimensionality of neural population activity are often much lower than the population size. Similar phenomena are also observed in trained and designed neural network models. These experimental and computational results suggest that mapping low-dimensional dynamics to high-dimensional neural space is a common feature of ...
Omri Barak, Sandro Romani
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Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives
CoRR, 2021 While there exist a plethora of deep learning tools and frameworks, the fast-growing complexity of the field brings new demands and challenges, such as more flexible network design, speedy computation on distributed setting, and compatibility between different tools.
Narihira, Takuya +16 more
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Predicting System Degradation with a Guided Neural Network Approach
Sensors, 2023 Evaluating the physical degradation behavior and estimating the lifetime of engineering systems and structures is crucial to ensure their safe and reliable operation.
Hamidreza Habibollahi Najaf Abadi +1 more
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Frontiers in Computational Neuroscience, 2018 Background: Parkinson's disease affects many motor processes including speech. Besides drug treatment, deep brain stimulation (DBS) in the subthalamic nucleus (STN) and globus pallidus internus (GPi) has developed as an effective therapy.Goal: We present
Valentin Senft +4 more
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The 20th century concepts of systemic cybernetic urban development
Архитектон, 2023 The article considers the development of an urban planning AI information platform based on the modeling of the framework of neural networks that collect and process data for the purpose of successive, adaptive and prospective development of settlements ...
Kolyasnikov Victor A.
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Methods for applying the Neural Engineering Framework to neuromorphic hardware
CoRR, 2017 11 pages, no ...
Aaron R. Voelker, Chris Eliasmith
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A Comparison of Low-Complexity Real-Time Feature Extraction for Neuromorphic Speech Recognition
Frontiers in Neuroscience, 2018 This paper presents a real-time, low-complexity neuromorphic speech recognition system using a spiking silicon cochlea, a feature extraction module and a population encoding method based Neural Engineering Framework (NEF)/Extreme Learning Machine (ELM ...
Jyotibdha Acharya +5 more
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Development of a Framework to Understand Tables in Engineering Specification Documents
Applied Sciences, 2020 Several works have been done in the last decades for understanding tables in documents, but most of them were not specifically designed to understand tables in engineering specification documents. Tables in engineering specifications have characteristics
Valentin Agossou +3 more
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Research on Brain and Mind Inspired Intelligence.
International Journal of Interactive Multimedia and Artificial Intelligence, 2023 To address the problems of scientific theory, common technology and engineering application of multimedia and multimodal information computing, this paper is focused on the theoretical model, algorithm framework, and system architecture of brain and ...
Yang Liu, Jianshe Wei
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Point Neurons with Conductance-Based Synapses in the Neural Engineering Framework
CoRR, 2017 24 pages, 12 figures, 1 ...
Andreas Stöckel +2 more
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