DOC: few typos spotted while browsing the docs

doc/source/command_line_tutorial.rst

@@ -21,7 +21,7 @@ Build your source space::
 
 Prepare for forward computation::
 
-    # For homegenious volume conductor
+    # For homogeneous volume conductor
     mne_setup_forward_model --homog --surf --ico 4
 
     # or for XXX

doc/source/manual/AppInstall.rst

@@ -89,7 +89,7 @@ need to install the netpbm package. The recommended way to do this
 is to use the MacPorts Project tools, see http://www.macports.org/:
 
 - If you have not installed the MacPorts
-  sofware, goto http://www.macports.org/install.php and follow the
+  software, goto http://www.macports.org/install.php and follow the
   instructions to install MacPorts.
 
 - Install the netpbm package by saying: ``sudo port install netpbm``

doc/source/manual/cookbook.rst

@@ -64,7 +64,7 @@ MRI viewer, MRIlab, can be used to access the MRI slice data created
 by FreeSurfer . In addition, the
 Neuromag MRI directories can be used for storing the MEG/MRI coordinate
 transformations created with mne_analyze ,
-see :ref:`CACEHGCD`. Doring the computation of the forward
+see :ref:`CACEHGCD`.  During the computation of the forward
 solution, mne_do_forwand_solution searches
 for the MEG/MRI coordinate in the Neuromag MRI directories, see :ref:`BABCHEJD`. The fif files created by mne_setup_mrit can
 be loaded into Matlab with the fiff_read_mri function,
@@ -78,7 +78,7 @@ by default they are T1 and brain. This default can be changed by
 specifying the sets by one or more ``--mri`` options.
 
 The script creates the directories ``mri/`` <*name*> ``-neuromag/slices`` and ``mri/`` <*name*> ``-neuromag/sets`` .
-If the the input data set is in COR format, mne_setup_mri makes
+If the input data set is in COR format, mne_setup_mri makes
 symbolic links from the COR files in the directory ``mri/`` <*name*> into ``mri/`` <*name*> ``-neuromag/slices`` ,
 and creates a corresponding fif file COR.fif in ``mri/`` <*name*> ``-neuromag/sets`` ..
 This "description file" contains references to
@@ -324,7 +324,7 @@ the forward solutions:
 
 This step assigns the conductivity values to the BEM compartments.
 For the scalp and the brain compartments, the default is 0.3 S/m.
-The defalt skull conductivity is 50 times smaller, *i.e.*,
+The default skull conductivity is 50 times smaller, *i.e.*,
 0.006 S/m. Recent publications, see :ref:`CEGEGDEI`, report
 a range of skull conductivity ratios ranging from 1:15 (Oostendorp *et
 al.*, 2000) to 1:25 - 1:50 (Slew *et al.*,

doc/source/manual/forward.rst

@@ -1327,9 +1327,9 @@ the following command-line options:
 **\---fwd <*name*> :[ <*weight*> ]**
 
     Specifies a forward solution to include. If no weight is specified,
-    1.0 is asssumed. In the averaging process the weights are divided
+    1.0 is assumed. In the averaging process the weights are divided
     by their sum. For example, if two forward solutions are averaged
-    and their spefied weights are 2 and 3, the average is formed with
+    and their specified weights are 2 and 3, the average is formed with
     a weight of 2/5 for the first solution and 3/5 for the second one.
 
 **\---out <*name*>**

doc/source/manual/intro.rst

@@ -10,7 +10,7 @@ This document describes a set of programs for preprocessing
 and averaging of MEG and EEG data and for constructing cortically-constrained minimum-norm
 estimates. This software package will in the sequel be referred to
 as *MNE software*. The software is based on anatomical
-MRI processing, forward modelling, and source estimation methods published in
+MRI processing, forward modeling, and source estimation methods published in
 Dale, Fischl, Hämäläinen, and others.
 The software depends on anatomical MRI processing tools provided
 by the FreeSurfer software.

doc/source/manual/matlab.rst

@@ -28,8 +28,8 @@ takes place:
   setup lines are there, nothing happens.
 
 A summary of the available routines is provided in Tables :ref:`BGBCGHAG` - :ref:`BGBEFADJ`. The toolbox
-also contains a set of examples which may be usedful starting points
-for your own development. The names of these functions startwith mne_ex and
+also contains a set of examples which may be useful starting points
+for your own development. The names of these functions start with mne_ex and
 they are listed in :ref:`BGBEFADJ`.
 
 .. note:: The MNE Matlab Toolbox is compatible with    Matlab versions 7.0 or later.
@@ -452,7 +452,7 @@ they are listed in :ref:`BGBEFADJ`.
     +--------------------------------+--------------------------------------------------------------+
 
 
-.. note:: In order for the inverse operator calculation to work correctly with data processed with the Elekta-Neuromag Maxfilter (TM) software, the so-called *processing history* block must be included in data files. Previous versions of the MNE Matlab functions did not copy processing history to files saved. As of March 30, 2009, the Matlab toolbox routines fiff_start_writing_raw and fiff_write_evoked have been enchanced to include these data to the output file as appropriate. If you have older raw data files created in Matlab from input which has been processed Maxfilter, it is necessary to copy the *processing history* block from the original to modified raw data file using the mne_copy_processing_history utility described in :ref:`CJACECAH`. The raw data processing programs mne_browse_raw and mne_process_raw have handled copying of the processing history since revision 2.5 of the MNE software.
+.. note:: In order for the inverse operator calculation to work correctly with data processed with the Elekta-Neuromag Maxfilter (TM) software, the so-called *processing history* block must be included in data files. Previous versions of the MNE Matlab functions did not copy processing history to files saved. As of March 30, 2009, the Matlab toolbox routines fiff_start_writing_raw and fiff_write_evoked have been enhanced to include these data to the output file as appropriate. If you have older raw data files created in Matlab from input which has been processed Maxfilter, it is necessary to copy the *processing history* block from the original to modified raw data file using the mne_copy_processing_history utility described in :ref:`CJACECAH`. The raw data processing programs mne_browse_raw and mne_process_raw have handled copying of the processing history since revision 2.5 of the MNE software.
 
 Some data structures
 ####################

doc/source/manual/mne.rst

@@ -165,7 +165,7 @@ be adjusted with the regularization options ``--magreg`` , ``--gradreg`` ,
 and ``--eegreg`` specified at the time of the inverse operator
 decomposition, see :ref:`CBBDDBGF`. The convenience script mne_do_inverse_solution has
 the ``--magreg`` and ``--gradreg`` combined to
-a sigle option, ``--megreg`` , see :ref:`CIHCFJEI`.
+a single option, ``--megreg`` , see :ref:`CIHCFJEI`.
 Suggested range of values for :math:`\varepsilon_k` is :math:`0.05 \dotso 0.2`.
 
 .. _CHDBEHBC: