refactor(docs): update import statements for brainpy and add changelog file

Author: oujago

brainpy/_synapse.py

@@ -122,6 +122,7 @@ class AMPA(Synapse):
     $$
 
     where:
+
     - $g$ represents the fraction of receptors in the open state
     - $\alpha$ is the binding rate constant [ms^-1 mM^-1]
     - $\beta$ is the unbinding rate constant [ms^-1]

brainpy/_synaptic_projection.py

@@ -247,22 +247,22 @@ class AsymmetryGapJunction(Projection):
 
     Examples
     --------
-    >>> import brainstate
+    >>> import brainpy
     >>> import brainunit as u
     >>> import numpy as np
     >>>
     >>> # Create two neuron populations
     >>> n_neurons = 100
-    >>> pre_pop = brainstate.nn.LIF(n_neurons, V_rest=-70*u.mV, V_threshold=-50*u.mV)
-    >>> post_pop = brainstate.nn.LIF(n_neurons, V_rest=-70*u.mV, V_threshold=-50*u.mV)
+    >>> pre_pop = brainpy.LIF(n_neurons, V_rest=-70*u.mV, V_threshold=-50*u.mV)
+    >>> post_pop = brainpy.LIF(n_neurons, V_rest=-70*u.mV, V_threshold=-50*u.mV)
     >>> pre_pop.init_state()
     >>> post_pop.init_state()
     >>>
     >>> # Create asymmetric gap junction with different weights in each direction
     >>> weights = np.ones((n_neurons, 2)) * u.nS
     >>> weights[:, 0] *= 2.0  # Double weight in pre->post direction
     >>>
-    >>> gap_junction = brainstate.nn.AsymmetryGapJunction(
+    >>> gap_junction = brainpy.AsymmetryGapJunction(
     ...     pre=pre_pop,
     ...     pre_state='V',
     ...     post=post_pop,

changelog.md

@@ -0,0 +1,7 @@
+# Changelog
+
+
+## Version 3.0.0
+
+
+