Introduce new BrainPy 3.0 documentation and tutorials

.gitignore

@@ -236,3 +236,5 @@ cython_debug/
 /docs_version3/_build/
 /docs_version3/_static/logos/
 /docs_version3/changelog.md
+/examples_version2/dynamics_training/data/
+/docs/

README.md

@@ -1,5 +1,5 @@
 <p align="center">
-  	<img alt="Header image of BrainPy - brain dynamics programming in Python." src="https://raw.githubusercontent.com/brainpy/BrainPy/master/images/logo.png" width=80%>
+  	<img alt="Header image of BrainPy - brain dynamics programming in Python." src="https://raw.githubusercontent.com/brainpy/BrainPy/master/images/logo-banner.png" width=80%>
 </p> 
 
 
@@ -16,8 +16,9 @@
 
 BrainPy is a flexible, efficient, and extensible framework for computational neuroscience and brain-inspired computation based on the Just-In-Time (JIT) compilation. It provides an integrative ecosystem for brain dynamics programming, including brain dynamics **building**, **simulation**, **training**, **analysis**, etc. 
 
-- **Website (documentation and APIs)**: https://brainpy.readthedocs.io/
 - **Source**: https://github.com/brainpy/BrainPy
+- **Documentation**: https://brainpy.readthedocs.io/
+- **Documentation**: https://brainpy-v2.readthedocs.io/
 - **Bug reports**: https://github.com/brainpy/BrainPy/issues
 - **Ecosystem**: https://brainmodeling.readthedocs.io/
 

docs/conf.py

@@ -15,10 +15,7 @@
 import shutil
 import sys
 
-# 要保留的文件/文件夹列表
 keep_files = {'highlight_test_lexer.py', 'conf.py', 'make.bat', 'Makefile'}
-
-# 遍历当前目录
 for item in os.listdir('.'):
     if item not in keep_files:
         path = os.path.join('.', item)
@@ -34,21 +31,19 @@
 if build_version == 'v2':
     shutil.copytree(
         os.path.join(os.path.dirname(__file__), '../docs_version2'),
-        os.path.join(os.path.dirname(__file__), ),
+        os.path.join(os.path.dirname(__file__)),
         dirs_exist_ok=True
     )
 else:
     shutil.copytree(
         os.path.join(os.path.dirname(__file__), '../docs_version3'),
-        os.path.join(os.path.dirname(__file__), ),
+        os.path.join(os.path.dirname(__file__)),
         dirs_exist_ok=True
     )
 
 sys.path.insert(0, os.path.abspath('./'))
 sys.path.insert(0, os.path.abspath('../'))
 
-import brainpy
-
 shutil.copytree('../images/', './_static/logos/', dirs_exist_ok=True)
 shutil.copyfile('../changelog.md', './changelog.md')
 
@@ -62,7 +57,8 @@
 
 fix_ipython2_lexer_in_notebooks(os.path.dirname(os.path.abspath(__file__)))
 
-# The full version, including alpha/beta/rc tags
+import brainpy
+
 release = brainpy.__version__
 
 # -- General configuration ---------------------------------------------------

docs_version2/index.rst

@@ -127,7 +127,7 @@ Learn more
 
       .. card:: :material-regular:`settings;2em` Examples
          :class-card: sd-text-black sd-bg-light
-         :link: https://brainpy-examples.readthedocs.io/
+         :link: https://brainpy-v2.readthedocs.io/projects/examples/
 
    .. grid-item::
       :columns: 6 6 6 4

docs_version3/api/index.rst

@@ -0,0 +1,204 @@
+API Reference
+=============
+
+Complete API reference for BrainPy 3.0.
+
+.. note::
+   BrainPy 3.0 is built on top of `brainstate <https://brainstate.readthedocs.io/>`_,
+   `brainunit <https://brainunit.readthedocs.io/>`_, and `braintools <https://braintools.readthedocs.io/>`_.
+
+Organization
+------------
+
+The API is organized into the following categories:
+
+.. grid:: 1 2 2 2
+
+   .. grid-item-card:: :material-regular:`psychology;2em` Neurons
+      :link: neurons.html
+
+      Spiking neuron models (LIF, ALIF, Izhikevich, etc.)
+
+   .. grid-item-card:: :material-regular:`timeline;2em` Synapses
+      :link: synapses.html
+
+      Synaptic dynamics (Expon, Alpha, AMPA, GABA, NMDA)
+
+   .. grid-item-card:: :material-regular:`account_tree;2em` Projections
+      :link: projections.html
+
+      Connect neural populations (AlignPostProj, AlignPreProj)
+
+   .. grid-item-card:: :material-regular:`hub;2em` Networks
+      :link: networks.html
+
+      Network building blocks and utilities
+
+   .. grid-item-card:: :material-regular:`school;2em` Training
+      :link: training.html
+
+      Gradient-based learning utilities
+
+   .. grid-item-card:: :material-regular:`input;2em` Input/Output
+      :link: input-output.html
+
+      Input generation and output processing
+
+Quick Reference
+---------------
+
+**Most commonly used classes:**
+
+Neurons
+~~~~~~~
+
+.. code-block:: python
+
+   import brainpy as bp
+
+   # Leaky Integrate-and-Fire
+   bp.LIF(size, V_rest, V_th, V_reset, tau, R, ...)
+
+   # Adaptive LIF
+   bp.ALIF(size, V_rest, V_th, V_reset, tau, tau_w, a, b, ...)
+
+   # Izhikevich
+   bp.Izhikevich(size, a, b, c, d, ...)
+
+Synapses
+~~~~~~~~
+
+.. code-block:: python
+
+   # Exponential
+   bp.Expon.desc(size, tau)
+
+   # Alpha
+   bp.Alpha.desc(size, tau)
+
+   # AMPA receptor
+   bp.AMPA.desc(size, tau)
+
+   # GABA_a receptor
+   bp.GABAa.desc(size, tau)
+
+Projections
+~~~~~~~~~~~
+
+.. code-block:: python
+
+   # Standard projection
+   bp.AlignPostProj(
+       comm=brainstate.nn.EventFixedProb(n_pre, n_post, prob, weight),
+       syn=bp.Expon.desc(n_post, tau),
+       out=bp.COBA.desc(E),
+       post=post_neurons
+   )
+
+Networks
+~~~~~~~~
+
+.. code-block:: python
+
+   # Module base class
+   class MyNetwork(brainstate.nn.Module):
+       def __init__(self):
+           super().__init__()
+           # ... define components
+
+       def update(self, x):
+           # ... network dynamics
+           return output
+
+Training
+~~~~~~~~
+
+.. code-block:: python
+
+   import braintools
+
+   # Optimizer
+   optimizer = braintools.optim.Adam(lr=1e-3)
+
+   # Gradients
+   grads = brainstate.transform.grad(loss_fn, params)(...)
+
+   # Update
+   optimizer.update(grads)
+
+Documentation Sections
+----------------------
+
+.. toctree::
+   :maxdepth: 2
+
+   neurons
+   synapses
+   projections
+   networks
+   training
+   input-output
+
+Import Structure
+----------------
+
+BrainPy uses a clear import hierarchy:
+
+.. code-block:: python
+
+   import brainpy as bp              # Core BrainPy
+   import brainstate                 # State management and modules
+   import brainunit as u             # Physical units
+   import braintools                 # Training utilities
+
+   # Neurons and synapses
+   neuron = bp.LIF(100, ...)
+   synapse = bp.Expon.desc(100, tau=5*u.ms)
+
+   # State management
+   state = brainstate.ShortTermState(...)
+   brainstate.nn.init_all_states(net)
+
+   # Units
+   current = 2.0 * u.nA
+   voltage = -65 * u.mV
+   time = 10 * u.ms
+
+   # Training
+   optimizer = braintools.optim.Adam(lr=1e-3)
+   loss = braintools.metric.softmax_cross_entropy(...)
+
+Type Conventions
+----------------
+
+**States:**
+
+- ``ShortTermState`` - Temporary dynamics (V, g, spikes)
+- ``ParamState`` - Learnable parameters (weights, biases)
+- ``LongTermState`` - Persistent statistics
+
+**Units:**
+
+All physical quantities use ``brainunit``:
+
+- Voltage: ``u.mV``
+- Current: ``u.nA``, ``u.pA``
+- Time: ``u.ms``, ``u.second``
+- Conductance: ``u.mS``, ``u.nS``
+- Concentration: ``u.mM``
+
+**Shapes:**
+
+- Single trial: ``(n_neurons,)``
+- Batched: ``(batch_size, n_neurons)``
+- Connectivity: ``(n_pre, n_post)``
+
+See Also
+--------
+
+**External Documentation:**
+
+- `BrainState Documentation <https://brainstate.readthedocs.io/>`_ - State management
+- `BrainUnit Documentation <https://brainunit.readthedocs.io/>`_ - Physical units
+- `BrainTools Documentation <https://braintools.readthedocs.io/>`_ - Training utilities
+- `JAX Documentation <https://jax.readthedocs.io/>`_ - Underlying computation