diff --git a/README.md b/README.md
index 4d13d303..b38f4d6a 100644
--- a/README.md
+++ b/README.md
@@ -36,7 +36,7 @@ ngc-learn requires:
 1) Python (>=3.10)
 2) NumPy (>=1.26.0)
 3) SciPy (>=1.7.0)
-4) ngcsimlib (>=0.2.b1), (visit official page <a href="https://github.com/NACLab/ngc-sim-lib">here</a>)
+4) ngcsimlib (>=0.3.b2), (visit official page <a href="https://github.com/NACLab/ngc-sim-lib">here</a>)
 5) JAX (>= 0.4.18) (to enable GPU use, make sure to install one of the CUDA variants)
 <!--
 5) scikit-learn (>=1.3.1) if using `ngclearn.utils.density`
@@ -46,13 +46,11 @@ ngc-learn requires:
 -->
 
 ---
-ngc-learn 1.1.beta2 and later require Python 3.10 or newer as well as ngcsimlib >=0.3.b1.
+ngc-learn 1.2.beta0 and later require Python 3.10 or newer as well as ngcsimlib >=0.3.b3.
 ngc-learn's plotting capabilities (routines within `ngclearn.utils.viz`) require
 Matplotlib (>=3.8.0) and imageio (>=2.31.5) and both plotting and density estimation
 tools (routines within ``ngclearn.utils.density``) will require Scikit-learn (>=0.24.2).
 Many of the tutorials will require Matplotlib (>=3.8.0), imageio (>=2.31.5), and Scikit-learn (>=0.24.2).
-<!-- (Note: if using the `_generate_patch_set()` within the
-image patching utilities, then Patchify will be needed).-->
 
 ### User Installation
 
@@ -81,7 +79,7 @@ Python 3.11.4 (main, MONTH  DAY YEAR, TIME) [GCC XX.X.X] on linux
 Type "help", "copyright", "credits" or "license" for more information.
 >>> import ngclearn
 >>> ngclearn.__version__
-'1.1b2'
+'1.2b0'
 ```
 
 <i>Note:</i> For access to the previous Tensorflow-2 version of ngc-learn (of
@@ -128,7 +126,7 @@ $ python install -e .
 </pre>
 
 **Version:**<br>
-1.1.4-Beta <!-- -Alpha -->
+1.2.0-Beta <!-- -Alpha -->
 
 Author:
 Alexander G. Ororbia II<br>
diff --git a/docs/installation.md b/docs/installation.md
index 04640d8f..a158d2e3 100644
--- a/docs/installation.md
+++ b/docs/installation.md
@@ -9,7 +9,7 @@ requires that you ensure that you have installed the following base dependencies
 your system. Note that this library was developed and tested on Ubuntu 22.04 (and 18.04).
 Specifically, ngc-learn requires:
 * Python (>=3.10)
-* ngcsimlib (>=0.2.b1), (<a href="https://github.com/NACLab/ngc-sim-lib">official page</a>)
+* ngcsimlib (>=0.3.b2), (<a href="https://github.com/NACLab/ngc-sim-lib">official page</a>)
 * NumPy (>=1.26.0)
 * SciPy (>=1.7.0)
 * JAX (>= 0.4.18; and jaxlib>=0.4.18) <!--(tested for cuda 11.8)-->
@@ -78,7 +78,7 @@ Python 3.11.4 (main, MONTH  DAY YEAR, TIME) [GCC XX.X.X] on linux
 Type "help", "copyright", "credits" or "license" for more information.
 >>> import ngclearn
 >>> ngclearn.__version__
-'1.1b2'
+'1.2b0'
 ```
 
 <i>Note</i>: If you do not have a JSON configuration file in place (see tutorials
diff --git a/ngclearn/utils/viz/raster.py b/ngclearn/utils/viz/raster.py
index 4ae3be23..dff8745b 100755
--- a/ngclearn/utils/viz/raster.py
+++ b/ngclearn/utils/viz/raster.py
@@ -60,7 +60,7 @@ def create_raster_plot(spike_train, ax=None, s=0.5, c="black",
     events = []
     for t in range(n_count):
         if indices is None or t in indices:
-            e = spike_train[t,:].nonzero()
+            e = spike_train[t, :].nonzero()
             events.append(e[0])
     _ax.eventplot(events, linelengths=s, colors=c)
     if ax is None:
diff --git a/pyproject.toml b/pyproject.toml
index a43c414c..8e7da02c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "ngclearn"
-version = "1.1.beta4" 
+version = "1.2.beta0"
 description = "Simulation software for building and analyzing arbitrary predictive coding, spiking network, and biomimetic neural systems."
 authors = [
   {name = "Alexander Ororbia", email = "ago@cs.rit.edu"},
diff --git a/requirements.txt b/requirements.txt
index 940c57d2..f7e4060c 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -5,5 +5,5 @@ matplotlib>=3.8.0
 patchify
 jax>=0.4.18
 jaxlib>=0.4.18
-ngcsimlib>=0.3.b2
+ngcsimlib>=0.3.b3
 imageio>=2.31.5