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Legacy

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Getting Started

Installation
Quickstart
Thinking in BrainState

Tutorials

Core
Transformations
Brain Dynamics

How-to Guides

Save and Load Checkpoints
Graph and Node System
Utility Toolkit
Collective Operations
Mixin System
Observe and Intercept State Access with Hooks
Constrain and Regularize Parameters
Interoperate with Flax and Equinox
Migrating Concepts from PyTorch to BrainState

Concepts

Why State-Based?
The State Model
The Parameter Model
The Graph Model
Transformation Semantics
Time and Environment
The Typing System

Examples

Deep Learning
Brain Dynamics

API Reference

Release Notes
brainstate module
brainstate.graph moduel
brainstate.nn module
brainstate.transform module
brainstate.interop module
brainstate.random module
- RandomState
- brainstate.random.DEFAULT
- seed
- seed_context
- default_rng
- clone_rng
- set_key
- get_key
- get_key_data
- restore_key
- split_key
- split_keys
- self_assign_multi_keys
- rand
- randn
- random
- random_sample
- ranf
- sample
- randint
- random_integers
- rand_like
- randint_like
- randn_like
- choice
- permutation
- shuffle
- beta
- exponential
- gamma
- gumbel
- laplace
- logistic
- normal
- pareto
- standard_cauchy
- standard_exponential
- standard_gamma
- standard_normal
- standard_t
- uniform
- truncated_normal
- lognormal
- power
- rayleigh
- triangular
- vonmises
- wald
- weibull
- weibull_min
- maxwell
- t
- loggamma
- bernoulli
- binomial
- categorical
- geometric
- hypergeometric
- logseries
- multinomial
- negative_binomial
- poisson
- zipf
- chisquare
- dirichlet
- f
- multivariate_normal
- noncentral_chisquare
- noncentral_f
- orthogonal
brainstate.util module
brainstate.typing module
- Array
- ArrayLike
- Shape
- Size
- Axes
- DType
- DTypeLike
- SupportsDType
- PyTree
- Key
- PathParts
- Predicate
- Filter
- FilterLiteral
- SeedOrKey
- K
- _T
- _Annotation
- Missing
brainstate.mixin module
brainstate.environ module
- reset
- context
- get
- set
- pop
- all
- EnvironmentState
- get_platform
- set_platform
- get_host_device_count
- set_host_device_count
- get_precision
- set_precision
- dftype
- ditype
- dutype
- dctype
- tolerance
- get_dt
- I
- T
- DT
- PRECISION
- PLATFORM
- HOST_DEVICE_COUNT
- JIT_ERROR_CHECK
- FIT
- DEFAULT_PRECISION
- SUPPORTED_PLATFORMS
- SUPPORTED_PRECISIONS
- register_default_behavior
- unregister_default_behavior
- list_registered_behaviors

.rst

InteropError

Contents

InteropError

InteropError#

class brainstate.interop.InteropError[source]#: Base class for all brainstate.interop errors.

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MissingDependencyError

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InteropError

By BrainState Developers

© Copyright 2024, brainstate.

Last updated on Jun 01, 2026.

BrainX Ecosystem

An open, differentiable ecosystem for brain simulation. We build the foundations the next decade of computational neuroscience will run on.

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Full-Scale Simulation
AI Compatibility
Differentiable Optimization
Powered by JAX

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brainstate
braincell
brainevent
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