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Tempotron
The Tempotron is a supervised synaptic learning algorithm which is applied when the information is encoded in spatiotemporal spiking patterns. This…
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Related topics
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5 relations
Action potential
Biological neuron model
Perceptron
Spatiotemporal pattern
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Papers overview
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2018
2018
SPIKE-BASED CLASSIFICATION OF UCI DATASETS WITH MULTI-LAYER RESUME-LIKE TEMPOTRON
S. Abdul-Wahid
2018
Corpus ID: 86806083
SPIKE-BASED CLASSIFICATION OF UCI DATASETS WITH MULTI-LAYER RESUME-LIKE TEMPOTRON by Sami Abdul-Wahid May 2018 Spiking neurons…
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2018
2018
Title Feedforward Categorization on AER Motion Events UsingCortex-Like Features in a Spiking Neural Network
Bo Zhao
,
Shoushun Chen
,
B. Linares‐Barranco
,
Huajin Tang
2018
Corpus ID: 73601609
This paper introduces an event-driven feedforward categorization system, which takes data from a temporal contrast address event…
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2015
2015
The geometry of Tempotronlike problems
Konrad Paul Kording
2015
Corpus ID: 1767782
In the discrete Tempotron learning problem a neuron receives time varying inputs and for a set of such input sequences ($\mathcal…
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2014
2014
A geometrical treatment of Tempotron-like problems
Konrad Paul Kording
2014
Corpus ID: 2418067
In the Tempotron learning problem a neuron receives time varying inputs and for a set of such input sequences (S set) the neuron…
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2014
2014
A Scalable Workflow for a ConfigurableNeuromorphic Platform
S. Jeltsch
2014
Corpus ID: 65089753
This thesis establishes a scalable multi-user workflow for the operation of a highly configurable, large-scale neuromorphic…
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2007
2007
Tempotron Decoding of Spike Patterns from Retinal Ganglion Cell Populations
R. Gütig
,
T. Gollisch
,
M. Meister
,
H. Sompolinsky
2007
Corpus ID: 17665092
Vision relies on the transmission of information from the eye to central brain regions via the activity of retinal ganglion cells…
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