pypet
What is
pypet
all about?
Main Features
Getting Started
Requirements
Install
What to do with
pypet
?
Basic Work Flow
Quick Working Example
Tutorial
Conceptualization of a Numerical Experiment
Naming Convention
#1 Pre-Processing
The Trajectory Container
#2 The Run Phase
#3 Post-Processing
Final Steps in the Main Script
#4 Analysis
Cookbook
Naming Convention
More on Trajectories
Interaction with Trajectories after an Experiment
Annotations
More on Parameters and Results
More about the Environment
Using BRIAN with pypet
Examples
Basic Concepts
Advanced Concepts
BRIAN Examples
FAQs and Known Issues
Library Reference
The Environment
The Trajectory and Group Nodes
Parameters and Results
Annotations
Utils
Exceptions
Global Constants
Logging
Storage Services
Brian Parameters, Results and Monitors
Brian Network Framework
Publication Information
Citation Policy
Brain Days and EuroPython Poster
Acknowledgments
Tests
Changelog
pypet
Docs
»
Cookbook
Edit on GitHub
Cookbook
ΒΆ
Here you can find some more detailed explanations of various concepts of
pypet
.
Naming Convention
More on Trajectories
Trajectory
Addition of Groups and Leaves (aka Results and Parameters)
Accessing Data in the Trajectory
Links
Parameter Exploration
Presetting of Parameters
Storing
Loading
Removal of items
Merging and Backup
Single Runs
Interaction with Trajectories after an Experiment
Iterating over Loaded Data in a Trajectory
Looking for Subsets of Parameter Combinations (f_find_idx)
Annotations
More on Parameters and Results
Parameters
Results
More about the Environment
Creating an Environment
Running an Experiment
Adding Post-Processing
Using a Experiment Pipeline
Continuing or Resuming a Crashed Experiment
Using BRIAN with pypet
IMPORTANT
pypet and BRIAN
The BRIAN network framework
Main Script
Network Components
A Simulation Run and Subruns
Read the Docs
v: 0.1b.9
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