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patent

Simplification of neural network models

Markram, Henry  
•
Gerstner, Wulfram  
•
Gewaltig, Marc-Oliver  
Show more
2018

The simplification of neural network models is described. For example, a method for simplifying a neural network model includes providing the neural network model to be simplified, defining a first temporal filter for the conveyance of input from a neuron to an other spatially-extended neuron along the arborized projection, defining a second temporal filter for the conveyance of input from yet another neuron to the spatially-extended neuron along the arborized projection, replacing, in the neural network model, the first, spatially-extended neuron with a first, spatially-constrained neuron and the arborized projection with a first connection extending between the first, spatially-constrained neuron and the second neuron, wherein the first connection filters input from the second neuron in accordance with the first temporal filter and a second connection extending between the first spatially-constrained neuron and the third neuron.

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Type
patent
EPO Family ID

63670970

Author(s)
Markram, Henry  
Gerstner, Wulfram  
Gewaltig, Marc-Oliver  
Rössert, Christian  
Muller, Eilif Benjamin  
Pozzorini, Christian  
Segev, Idan
King, James Gonzalo  
Erö, Csaba  
Wybo, Willem  
TTO classification

TTO:6.1698.2

EPFL units
AVP-R-TTO  
BBP-CORE  
LCN  
IdentifierCountry codeKind codeDate issued

US11983620

US

B2

2024-05-14

US2022230052

US

A1

2022-07-21

US11301750

US

B2

2022-04-12

US2018285716

US

A1

2018-10-04

Available on Infoscience
December 5, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/163689
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