# Computational Cost in Spiking Neural Network

**URL:** <https://brian.discourse.group/t/computational-cost-in-spiking-neural-network/720>\
**Category:** Support\
**Created:** [19 June 2022 20:37 UTC](https://brian.discourse.group/t/computational-cost-in-spiking-neural-network/720 "2022-06-19T20:37:55Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Haydar](https://avatars.discourse-cdn.com/v4/letter/h/d6d6ee/32.png) [@Haydar](https://brian.discourse.group/u/Haydar)\
**Post date:** [19 June 2022 20:37 UTC](https://brian.discourse.group/t/computational-cost-in-spiking-neural-network/720/1 "2022-06-19T20:37:55Z")

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Hello Brian Community,  
I am simulating a simple 2-layer spiking neural network to classify naturalistic textures. I would like to ask if there is any rule or tool that I can use to calculate the FLOPs of my network?  
worth mentioning that I am using brian2 simulator.  
I appreciate your help.

# What you have aready tried

# Expected output (if relevant)

# Actual output (if relevant)

# Full traceback of error (if relevant)