NEXT BRAIN Computational Neuroscience & NeuroAI
Models/Ornstein–Uhlenbeck process

Official Brian2 · source model package

Ornstein–Uhlenbeck process

Two stochastic process realizations with different time constants.

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Brian2 Python

Original source

Original Brian2 example

This is an unmodified snapshot of an official Brian2 example. Open it in Notebook for a local experiment, or fork it into My Workspace to edit and publish as a model. Notebook execution needs a kernel and is not available yet.

Official exampleUnmodified source

Companion files are included in CPU sandbox submissions and package downloads.

Download source packageOriginal Python + companion files · ZIP
Last CPU checkCompleted
Checked
Engine
brian2-rust-reference
Container
sha256:ffa10a26dd68
Companion files8
  • COBAHH_approximated.py
  • compare_GSL_to_conventional.py
  • custom_events.py
  • exprel_function.py
  • float_32_64_benchmark.py
  • modelfitting_sbi.py
  • opencv_movie.py
  • stochastic_odes.py
Python imports3
  • brian2
  • matplotlib
  • numpy
Source
Brian2 contributors · official example ↗
License
CeCILL 2.1
Revision
ecd72a361f54
Source SHA-256
c4a368c84521d009…

CPU Python runs inside a disposable, resource-limited Brian2-Atlas container. Unsupported features fail explicitly; a successful run is not scientific validation. Apple GPU remains limited to reviewed adaptations.

Python source

Ornstein_Uhlenbeck.pyPython · 53 lines
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