Spiking neural network 源码搜索结果, 第2页, Verysource

Spiking Neuron Models Spiking Neuron Models:Neurons in the brain communicate by short electrical pulses, the so-called action potentials or ... neurons are coupled together in a seemingly random network? How does the network connectivity determine the activity patterns? And, vice ...
Machine Learning for Wireless Networks ... main concepts of machine learning, in general, and artificial neural networks (ANNs), in particular, and their potential applications in ... include feed-forward, recurrent, spiking, and deep neural networks. For each type of neural network, we present the ...
多层卷积脉冲神经网络.pdf ... hardware implementations, and theoretical computing power. However, in practice, spiking net- works with multi-layer learning have proven ... to train. This paper explores a novel, bio-inspired spiking convolutional neural network (CNN) that is trained in a ...
DA-STDP-modulated-learning-in-mobile-robots ... to explain how the non-declarative long term memory in the mammalian brain learns. This code demonstrates by apply a spiking neural network simulators to a robot environment how, learning via reward modulated STDP can ...
Neuretix ... algorithm, which increases the processing speed of spiking neural network processing by several orders of magnitude at ... Temporal Window algorithms. Currently the libraries only support neural networks with pre-defined parameters (learning algorithms such ...
Neuretix-Win ... the Neuretix software. Neuretix-Win ============ Neuretix is a spiking neural network simulation platform with extremely fast processing capabilities. ... genomes (in Genome folder) or as a plain neural network (Network folder) This project is intended as a ...
nemo-mpi NeMo v0.7.2 NeMo is a high-performance spiking neural network simulator which simulates networks of Izhikevich neurons on CUDA- enabled GPUs. NeMo is a C++ class library, with additional interfaces for pure C ...
spiking_network clock-based spiking neural network code spiking_network =============== clock-based spiking neural network code
hrr-scaling ... Semantic Pointer Architecture (which can be viewed as a neural variant of Holographic Reduced Representations (Plate 2003)), to ... vectors (Eliasmith & Anderson 2003), to create a spiking neural network capable of traversing this vectorial representation of ...
moment ... Neural Network implementation on CUDA platform moment === Moment is a spiking neural network simulator that works on the [CUDA][cuda-link] ... each line, and converts that into a format that the Spiking Visualizer can easily use. ```shell tail -n+600 data/ ...

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