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utility model

Simplification of spiking neural network models

Markram, Henry  
•
Gerstner, Wulfram  
•
Gewaltig, Marc-Oliver
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November 7, 2024

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
utility model
EPO Family ID

63670970

Author(s)
Markram, Henry  

EPFL

Gerstner, Wulfram  

EPFL

Gewaltig, Marc-Oliver
Rossert, Christian A.  
Muller, Eilif Benjamin  

EPFL

Pozzorini, Christian Antonio  
Segev, Idan  
King, James Gonzalo  

EPFL

Erö, Csaba  
Wybo, Willem Anna Mark  
Issuers

Ecole Polytechnique Federale De Lausanne (EPFL)

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

US2024370713

US

A1

2024-11-07

Priority numberPriority date

US202418632704

2024-04-11

Application numberApplication Date

US202418632704

2024-04-11

Available on Infoscience
January 7, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/242559
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