LSM是一种使用脉冲神经网络(SNN)的储层计算机(Reservoir computer),属于RNN的一种。 LSM由大量单神经元...
Liquid State Machine (LSM) is one of spiking neural network (SNN) containing recurrent connections in the reservoir. Nowadays, LSM is widely deployed on a variety of neuromorphic platforms to deal with vision and audio tasks. These platforms adopt Network-on-Chips (NoC) architecture for multi-...
Liquid state machines (LSMs) (introduced by Maass, Natschl¨ager and Markram in 2000 [1]) make use of a spiking neural network (SNN) as a reservoir. Maass et al. call this reservoir the liquid. A reservoir computing algorithm with a different reservoir can be found in Jaeger’s 2001...
TheBee simulatoris an open sourceSpiking Neural Network (SNN)simulator,freely available, specialised inLiquid State Machine (LSM)systems with its core functions fully implemented in C. It was developed together with my PhD thesis(you can see where it was used in my publications)exclusively to sol...
LSM是一种使用脉冲神经网络(SNN)的储层计算机(Reservoir computer),属于RNN的一种。 LSM由大量单神经元...
Liquid state machineNetwork on chipHardware-awareHeuristic algorithmThe liquid state machine (LSM) is a spiking neural network (SNN) that usually is offline mapped to an NoC-based neuromorphic processor to perform a specific task. The creation of these LSM models does not consider the structure ...
Liquid State Machine (LSM) is a bio-inspired RC model that mimics the cortical microcircuits and uses spiking neural networks (SNN) that can be directly realized on neuromorphic hardware. In this paper, we present a novel Parallelized LSM (PLSM) architecture that incorporates spatio-temporal read...
As a kind of SNN, Liquid State Machine (LSM) shows potential in domains such as image recognition and speech recognition, and it is simpler to train than other SNNs. In neuromorphic processors, weights and synapses are stored on-chip to reduce the energy cost of data movement. However, the...
A liquid state machine (LSM) is a neural computing model with a recurrent network structure based on SNN. In this paper, a learning algorithm based on an evolutionary membrane algorithm is proposed to optimize the neural structure and hyperparameters of an LSM. First, the object of the ...
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