Essays about: "spiking neural networks"

Showing result 1 - 5 of 6 essays containing the words spiking neural networks.

  1. 1. Developing a spiking neural model of Long Short-Term Memory architectures

    University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Förbränningsfysik

    Author : Isabella Pozzi; [2018]
    Keywords : Physics and Astronomy;

    Abstract : Current advances in Deep Learning have shown significant improvements in common Machine Learning applications such as image, speech and text recognition. Specifically, in order to process time series, deep Neural Networks (NNs) with Long Short-Term Memory (LSTM) units are widely used in sequence recognition problems to store recent information and to use it for future predictions. READ MORE

  2. 2. Monte Carlo Optimization of Neuromorphic Cricket Auditory Feature Detection Circuits in the Dynap-SE Processor

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Mattias Nilsson; [2018]
    Keywords : Neuromorphic engineering; Spiking neural networks; Pattern recognition; Feature detection; Training protocol; Software tools;

    Abstract : Neuromorphic information processing systems mimic the dynamics of neurons and synapses, and the architecture of biological nervous systems. By using a combination of sub-threshold analog circuits, and fast programmable digital circuits, spiking neural networks with co-localized memory and computation can be implemented, enabling more energy-efficient information processing than conventional von Neumann digital computers. READ MORE

  3. 3. Pattern recognition with spiking neural networks and the ROLLS low-power online learning neuromorphic processor

    University essay from Luleå tekniska universitet/Institutionen för teknikvetenskap och matematik

    Author : Andreas Ternstedt; [2017]
    Keywords : Pattern recognition; Spiking neural network; Neuromorphic hardware; Spike-based learning; Brain-inspired computing; Signal processing;

    Abstract : Online monitoring applications requiring advanced pattern recognition capabilities implemented in resource-constrained wireless sensor systems are challenging to construct using standard digital computers. An interesting alternative solution is to use a low-power neuromorphic processor like the ROLLS, with subthreshold mixed analog/digital circuits and online learning capabilities that approximate the behavior of real neurons and synapses. READ MORE

  4. 4. Design and Implementation of Digital Spiking Neurons for Ultra-low-Power In-cluster processors

    University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Author : Sharan Kumaar Ganesan; [2016]
    Keywords : ;

    Abstract : Neuromorphic computing is a recent and growing field of research. Its conceptual attractiveness is due to the potential it has in deep learning applications such as sensor networks, low-power computer vision, robotics and other fields. READ MORE

  5. 5. Implementation and Robustness of Hopfield Networks with Spiking Neurons

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : Emil Wärnberg; [2014]
    Keywords : ;

    Abstract : Computational models of neural activity and neural networks have been an active area of research as long as there have been computers, and have led several important discoveries in the eld of machine learning. One kind of articial network proposed by John J. Hopeld in 1982 has been among the more successful ones, and is still in active use today. READ MORE