[PDF] Top 20 GPU-based implementation of real-time system for spiking neural networks
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GPU-based implementation of real-time system for spiking neural networks
... same time, block-level synchronization is required among all warps at each point of a task ...execution time of each block is maximized by the number of divergent spike events within each ...execution ... See full document
150
A survey on real time processing with spiking neural networks
... Neural networks have emerged has one of the powerful tools for real time processing such as pattern classification, recognition, prediction and ...of neural networks have ... See full document
9
Spiking Neural Networks: Modification and Digital Implementation
... simulating neural networks on supercomputers [49, 50, 51] or in some cases software has been developed for PCs [52, 53, 54], although supercomputers are expensive and are not available for the majority of ... See full document
154
Real-time classification of multivariate olfaction data using spiking neural networks
... the system. In this paper, we present an SNN-based solution for the classification of rank-order spiking patterns to provide continuous recognition results in ...hardware system that enables ... See full document
15
Neuromorphic audio processing through real-time embedded spiking neural networks.
... classification system. Moreover, the authors presented a demonstration of this system at the International Symposium of Circuits and Systems (ISCAS) 2017 in Baltimore (Maryland, USA) (Dominguez-Morales et ... See full document
161
Acceleration of Spiking Neural Networks in Emerging Multi-core and GPU Architectures
... biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference ...various spiking neuron models, the Hodgkin-Huxley model is the oldest and most compute ... See full document
8
Real-time inference in a VLSI spiking neural network
... VLSI spiking neurons. Such networks could implement more complex relationships between ...of neural architectures and the computations they can achieve are optimal in the Bayesian sense [3], ... See full document
5
Spiking Neural P System Simulations on a High Performance GPU Platform
... 2 GPU Computing and NVIDIA CUDA As many-core based platforms, GPUs are massively data-parallel processors which have high chip scalability in terms of processing units (cores, threads), and high bandwidth ... See full document
10
Hybrid CPU GPU Model Based Simulation of Spiking Neural Networks Using a Look up Table
... near real-time or a real-time scenario it becomes imperative to put some efforts in understanding the nitty-gritties of the SNN so that we can optimally scale up the performance of the SNNs on ... See full document
6
Toward the Optimal Design and FPGA Implementation of Spiking Neural Networks
... solve neural dynamics because of its high precision in many applications, such as pattern recognition and motion detection [53], ...fewer time steps due to precise information transmission and ... See full document
Spiking Neural Networks models targeted for implementation on Reconfigurable Hardware
... Neural networks and models: a brief overview In the middle of 20 th century, a combination of biological studies with the mathematical approach to the theory of control created a new scientific discipline: ... See full document
127
An Improved GPU Simulator For Spiking Neural P Systems
... SNP system simulator based on the GPU, using NVIDIA ...the GPU) over the CPU only simulator snpcpu-sim were also ...SNP system without delays) and that snpgpu-sim2 has significant ... See full document
6
A Spiking Neural Networks Based Face Recognition Algorithm
... noise. Spiking neural networks, which inherit the parallel mechanism from biological system, are used to extract the face ...The spiking neural networks can remember key ... See full document
8
An FPGA platform for real-time simulation of spiking neuronal networks
... shorter time ( Cheung et al., 2016 ), possibly comparable to the time scales of a real evolving neuronal network, in order to enable complex simulations otherwise ...same time ( Rolston et ... See full document
13
Efficient Implementation of Stochastic Inference on Heterogeneous Clusters and Spiking Neural Networks
... problem based on the optimal solution of its sub- ...interval based resource sharing with different modules which is again non-concurrent ...solution based on backtracking ... See full document
141
A spiking neural network for real-time Spanish vowel phonemes recognition
... to real-time speech processing. A spiking recognition neural network composed of three types of neurons is ...are based on an integrative and fi re model and are capable of recognizing ... See full document
12
Robust learning algorithms for spiking and rate-based neural networks
... in time; and effectively, it causes inhomogeneity between the ...is time-dependent temporal ...of time via the ...BSS-1 system led to the established method, that analog parameters are stored ... See full document
259
Evolving spiking neural networks: A Survey
... a real-valued data sample using a bit string act- ing as a feature mask, where a “0” (“1”) in this mask in- dicates (non-)selected features of the data ...the time domain us- ing a number of Gaussian ... See full document
13
Computational modeling with spiking neural networks
... evolving spiking neural network architecture (eSNN). Real-valued vector el- ements are mapped into the time domain using rank order population encoding based on Gaussian receptive ... See full document
23
Biological relevance of spiking neural networks
... In the context of randomly coupled systems the concept of propagation velocity on a lattice looses its sense, while FSLEs reveal serious problems in their numerical implementation. However, FSLEs clearly show also ... See full document
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