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
»
Library Reference
Edit on GitHub
Library Reference
ΒΆ
The Environment
Quicklinks
Environment
MultiprocContext
The Trajectory and Group Nodes
Quicklinks
Trajectory
NNGroupNode
ParameterGroup
ConfigGroup
DerivedParameterGroup
ResultGroup
Parameters and Results
Parameter Quicklinks
Result Quicklinks
Parameter
ArrayParameter
SparseParameter
PickleParameter
Result
SparseResult
PickleResult
Object Table
The Abstract Base Classes of Parameters and Results
Annotations
Utils
Exploration Functions
Utility Functions
HDF5 File Compression
Progressbar
General Equality Function and Comparisons of Parameters and Results
Exceptions
Global Constants
Logging
Storage Services
The HDF5 Storage Service
The Multiprocessing Wrappers
Empty Storage Service for Debugging
Brian Parameters, Results and Monitors
BrianParameter
BrianDurationParameter
BrianResult
BrianMonitorResult
Brian Network Framework
Quicklinks
Functions that can be implemented by a Subclass
Top-Level run_network Function
NetworkManager
NetworkRunner
NetworkComponent
NetworkAnalyser
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