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Spiking neural network

Known as: SNN, Spiking neural networks 
Spiking neural networks (SNNs) fall into the third generation of neural network models, increasing the level of realism in a neural simulation. In… 
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Related topics

Related topics

38 relations
ARM architectureAction potentialArtificial neural networkArtificial neuron

Broader (2)

Computational neuroscienceComputational statistics

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
The scalable spiking neural network automatic generation in MATLAB focused on the hardware implementation
In article development of the program in the environment of MATLAB is considered. The program allows to generate spiking neural… 
2014
2014
Controlling articulated robots in task-space with spiking silicon neurons
Emulating how humans coordinate articulated limbs within the brain's power budget promises to accelerate progress in building… 
Highly Cited
2011
Highly Cited
2011
Training spiking neural models using cuckoo search algorithm
Several meta-heuristic algorithms have been proposed in the last years for solving a wide range of optimization problems. Cuckoo… 
2009
2009
Connection-centric network for spiking neural networks
A reconfigurable network architecture applied to spiking neural networks is presented. For hardware platforms for neural networks… 
2007
2007
Unknown Environment Representation for Mobile Robot Using Spiking Neural Networks
In this paper, a model of self-organizing spiking neural networks is introduced and applied to mobile robot environment… 
2006
2006
Evolutionary design of spiking neural networks.
Unlike traditional artificial neural networks (ANNs), which use a high abstraction of real neurons, spiking neural networks (SNNs… 
2006
2006
Speech Emotion Recognition Using Spiking Neural Networks
Human social communication depends largely on exchanges of non-verbal signals, including non-lexical expression of emotions in… 
2002
2002
Data Mining for the Discovery of Ocean Climate Indices
* This work was partially supported by NASA grant # NCC 2 1231 and by Army High Performance Computing Research Center cooperative… 
2002
2002
Convolutional spiking neural network model for robust face detection
We propose a convolutional spiking neural network (CSNN) model with population coding for robust face detection. The basic… 
1998
1998
On computing Boolean functions by a spiking neuron
Computations by spiking neurons are performed using the timing of action potentials. We investigate the computational power of a… 
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