typos and minor changes to handouts

Author: yarikoptic

flier/eppy-handout.tex

@@ -91,10 +91,10 @@
 %_________________________________neo_______________________________________
 \ndproject{Neo}{http://packages.python.org/neo}{neo_logo.pdf}{.4}{-0.25em}{-5em}
 
-Neo is a package provides a common model for representing
+Neo provides a common model for representing
 electrophysiology data in Python. It provides I/O for reading a wide
-range of neurophysiology file formats, including Spike2,
-NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, and for
+range of neurophysiology file formats (Spike2,
+NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt) and for
 writing to a subset of these formats plus non-proprietary formats
 including HDF5.
 
@@ -104,13 +104,13 @@
 % lightweight a dependency as possible, Neo is deliberately limited to represention of data,
 % with no functions for data analysis or visualization.
 
-Neo implements a hierarchical data model well adapted to intracellular
+Neo implements a hierarchical data model well-adapted to intracellular
 and extracellular electrophysiology and EEG data with support for
-multi-electrodes (for example tetrodes).  Neo's data objects build on
+multi-electrodes (e.g., tetrodes).  Neo's data objects build on
 the \href{http://pypi.python.org/pypi/quantities}{quantities} package,
 which in turn builds on \href{http://www.numpy.org}{NumPy} by adding
-support for physical dimensions. Thus Neo objects behave just like
-normal NumPy arrays, but with additional metadata, checks for
+support for physical dimensions. Thus Neo objects behave like
+normal NumPy arrays but with additional metadata, checks for
 dimensional consistency and automatic unit conversion.
 
 A project with similar aims but for neuroimaging file formats is
@@ -125,9 +125,9 @@
 OpenElectrophy is build on top of neo.  It provides
 
 \begin{itemize}[nolistsep,topsep=0em,leftmargin=1pc]
-\item Powerfull GUI
+\item Powerful GUI
 \item Collection of methods for spike sorting
-\item Wavelet method for analysing transient oscillations in LFP
+\item Wavelet method for analyzing transient oscillations in LFP
 \item Customisable database to organize datasets
 \end{itemize}
 
@@ -164,15 +164,15 @@
 \vspace{0.5em}                  %some additional spacing
 LFPy is a Python module for simulation of extracellular electrical
 potentials evoked by activity of multi-compartment model neurons.
-LFPy runs on top of the NEURON-simulator, using the Python interface
-that is included (\url{http://www.neuron.yale.edu}).
+LFPy runs on top of the NEURON-simulator, using the included Python interface
+(\url{http://www.neuron.yale.edu}).
 
 LFPy provides:
 \begin{itemize}[nolistsep, topsep=0em, leftmargin=1pc]
 \item A forward modeling scheme for calculating extracellular potentials from compartmental membrane currents in an infinite homogeneous linear extracellular medium.
-\item Simple to use Python-classes for setting up the cells, synapses and recording electrodes.
+\item Simple to use Python-classes for setting up cells, synapses and recording electrodes.
 \item Easy to use scripting capabilities thanks to NEURON and the Python programming environment.
-\item Functionality to employ or specify biophysically detailed model neurons, add stimulus, and perform simultaneous simulation of the model cell responses and extracellular potentials.
+\item Functionality to employ or specify biophysically detailed model neurons, add a stimulus, and perform a simultaneous simulation of the model cell responses and extracellular potentials.
 \item Support for common formats for reconstructed neuronal morphologies, allowing use of publicly available 3D-reconstructions (e.g., \url{http://www.neuromorpho.org}). 
 \end{itemize}
 
@@ -193,13 +193,13 @@
 %\includegraphics[width=0.3\columnwidth]{../pics/psychopy_logo.pdf}
 %\end{figure}
 
-Visualise and quantify electrophysiological data.
+Visualize and quantify electrophysiological data.
 \begin{itemize}[nolistsep,topsep=0em,leftmargin=1pc]
 \item With a focus on patch-clamp recordings
 \item Supports most standard patch-clamp file types
 \item Embedded Python shell
-\item Measure action potential, EPSC and EPSP kinetics
-\item Extract spontaneous and evoked events
+\item Measures action potential, EPSC and EPSP kinetics
+\item Extracts spontaneous and evoked events
 \item Successfully used in many publications for >\,5 years
 \end{itemize}
 % Your favorite screenshot placed under ../pics/

flier/nipy-handout.tex

@@ -111,7 +111,7 @@
 \item Databasing capabilities
 \item Massive computation facilities using Soma-workflow
 \item Open environment, with many toolboxes
-\item Specialized toolboxes for T1 MRI processing, sulci ang gyri morphometry,
+\item Specialized toolboxes for T1 MRI processing, sulci and gyri morphometry,
 diffusion imaging and fibers tracking, surfacic and structural analysis,
 3D histology\ldots
 \item Links with other software like SPM, FSL, FreeSurfer, or CIVET