updated readme and setup

Author: Jeremy Manning

README.md

@@ -10,17 +10,25 @@ This Python toolbox was developed by [Jeremy Manning](http://www.context-lab.com
 SeqNMF uses regularized convolutional non-negative matrix factorization to extract repeated sequential patterns from high-dimensional data. The algorithm can discovery of patterns directly from timeseries data without reference to external markers or labels.
 
 For more information please see:
--[**Original MATLAB implementation**](https://github.com/FeeLab/seqNMF) -[**preprint**](https://www.biorxiv.org/content/early/2018/03/02/273128);-[**COSYNE talk**](https://www.youtube.com/watch?reload=9&v=XyWtCtZ_m-8); tutorial -[**video**](https://cbmm.mit.edu/video/unsupervised-discovery-temporal-sequences-high-dimensional-datasets) and -[**materials**](https://stellar.mit.edu/S/project/bcs-comp-tut/materials.html); and Simons foundation -[**article**](https://www.simonsfoundation.org/2018/05/04/finding-neural-patterns-in-the-din/)
+- [**Original MATLAB implementation**](https://github.com/FeeLab/seqNMF) 
+
+- [**preprint**](https://www.biorxiv.org/content/early/2018/03/02/273128)
+
+- [**COSYNE talk**](https://www.youtube.com/watch?reload=9&v=XyWtCtZ_m-8)
+
+- tutorial [**video**](https://cbmm.mit.edu/video/unsupervised-discovery-temporal-sequences-high-dimensional-datasets) and [**materials**](https://stellar.mit.edu/S/project/bcs-comp-tut/materials.html)
+
+- Simons foundation [**article**](https://www.simonsfoundation.org/2018/05/04/finding-neural-patterns-in-the-din/)
 
 ### Installing the toolbox
 To install the latest official version of this toolbox type
 ```
-pip install --upgrade --user seqnmf
+pip install --upgrade seqnmf
 ```
 
 To install the (bleeding edge) development version type
 ```
-pip install --upgrade --user git+https://github.com/ContextLab/seqNMF
+pip install --upgrade git+https://github.com/ContextLab/seqNMF
 ```
 
 ### Using the toolbox

setup.py

@@ -10,7 +10,7 @@
 
 setup(
     name='seqnmf',
-    version='0.1.0',
+    version='0.1.1',
     description='Python implementation of seqNMF',
     long_description=readme,
     author='Contextual Dynamics Laboratory',