BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python

scientific article published on 12 December 2018

BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python is …
instance of (P31):
scholarly articleQ13442814

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P818arXiv ID1806.01423
P8978DBLP publication IDjournals/fini/HazanSKPSSK18
P356DOI10.3389/FNINF.2018.00089
P932PMC publication ID6315182
P698PubMed publication ID30631269

P50authorHananel HazanQ90990275
P2093author name stringRobert Kozma
Hava T Siegelmann
Daniel J Saunders
Darpan T Sanghavi
Devdhar Patel
Hassaan Khan
P2860cites workSupervised Learning Based on Temporal Coding in Spiking Neural NetworksQ50430814
Unsupervised Feature Learning With Winner-Takes-All Based STDP.Q52576143
Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks.Q55243903
Prefrontal cortex as a meta-reinforcement learning systemQ62496126
First-Spike-Based Visual Categorization Using Reward-Modulated STDPQ89556746
The Brian simulatorQ27500449
Deep learningQ28018765
Toward an Integration of Deep Learning and NeuroscienceQ28595812
Python as a federation tool for GENESIS 3.0Q28732679
Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPsQ29618758
ANNarchy: a code generation approach to neural simulations on parallel hardwareQ30659592
NeuCube: a spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain dataQ30752303
Nengo: a Python tool for building large-scale functional brain modelsQ31148248
PyNN: A Common Interface for Neuronal Network SimulatorsQ33405758
NEURON and PythonQ33406510
Equation-oriented specification of neural models for simulationsQ35097160
GeNN: a code generation framework for accelerated brain simulations.Q35887778
Training Deep Spiking Neural Networks Using BackpropagationQ39161754
Software for Brain Network Simulations: A Comparative StudyQ41063782
Unsupervised learning of digit recognition using spike-timing-dependent plasticityQ41964489
Spiking neural network connectivity and its potential for temporal sensory processing and variable bindingQ42148653
STDP-based spiking deep convolutional neural networks for object recognition.Q47564277
Simple model of spiking neuronsQ47832705
Reinforcement learning through modulation of spike-timing-dependent synaptic plasticity.Q47841509
Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image ClassificationQ49632686
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P4510describes a project that usesPythonQ28865
scikit-learnQ1026367
NeuronQ7002467
P407language of work or nameEnglishQ1860
P921main subjectmachine learningQ2539
PythonQ28865
biomedical engineeringQ327092
P6104maintained by WikiProjectWikiProject SoftwareQ15659621
P304page(s)89
P577publication date2018-12-12
P1433published inFrontiers in NeuroinformaticsQ25474550
P1476titleBindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python
P478volume12

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cites work (P2860)
Q92711585A Closed-Loop Toolchain for Neural Network Simulations of Learning Autonomous Agents
Q94464021Editorial: Spiking Neural Network Learning, Benchmarking, Programming and Executing
Q97516545Exploring the Connection Between Binary and Spiking Neural Networks
Q92237494SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron

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