data/pynn-0.9.5/LICENSE:344: therefor ==> therefore
data/pynn-0.9.5/changelog:149: paramter ==> parameter
data/pynn-0.9.5/changelog:350: unecessary ==> unnecessary
data/pynn-0.9.5/changelog:525: dependant ==> dependent
data/pynn-0.9.5/doc/import_export.txt:27: explicity ==> explicitly
data/pynn-0.9.5/doc/neurons.txt:401: convienient ==> convenient
data/pynn-0.9.5/doc/publications.txt:10: BA ==> BY, BE
data/pynn-0.9.5/doc/publications.txt:28: BA ==> BY, BE
data/pynn-0.9.5/doc/publications.txt:93: archiv ==> archive
data/pynn-0.9.5/doc/random_numbers.txt:58: performace ==> performance
data/pynn-0.9.5/doc/reference/parameters.txt:179: contaning ==> containing
data/pynn-0.9.5/doc/releases/0.6.txt:46: unecessary ==> unnecessary
data/pynn-0.9.5/doc/releases/0.7.txt:96: paramter ==> parameter
data/pynn-0.9.5/doc/releases/0.8-beta-1.txt:119: accurary ==> accuracy, actuary
data/pynn-0.9.5/doc/releases/0.9.4.txt:16: explicity ==> explicitly
data/pynn-0.9.5/examples/nineml_brunel.py:81: hist ==> heist, his
data/pynn-0.9.5/examples/nineml_brunel.py:84: hist ==> heist, his
data/pynn-0.9.5/examples/nineml_brunel.py:85: hist ==> heist, his
data/pynn-0.9.5/examples/random_distributions.py:66: hist ==> heist, his
data/pynn-0.9.5/examples/iaf_sfa_relref/backend_comparison.py:17: recieves ==> receives
data/pynn-0.9.5/examples/iaf_sfa_relref/backend_comparison.py:18: recieves ==> receives
data/pynn-0.9.5/examples/iaf_sfa_relref/iaf_sfa_network_INH_GAMMA.py:81: pres ==> press
data/pynn-0.9.5/examples/iaf_sfa_relref/iaf_sfa_network_INH_GAMMA.py:199: recieves ==> receives
data/pynn-0.9.5/examples/iaf_sfa_relref/iaf_sfa_network_INH_GAMMA.py:200: recieves ==> receives
data/pynn-0.9.5/examples/iaf_sfa_relref/iaf_sfa_network_INH_GAMMA.py:201: recieves ==> receives
data/pynn-0.9.5/examples/iaf_sfa_relref/iaf_sfa_network_INH_GAMMA.py:202: recieves ==> receives
data/pynn-0.9.5/examples/iaf_sfa_relref/iaf_sfa_network_INH_GAMMA.py:204: recieves ==> receives
data/pynn-0.9.5/examples/iaf_sfa_relref/iaf_sfa_network_INH_GAMMA.py:205: recieves ==> receives
data/pynn-0.9.5/examples/iaf_sfa_relref/iaf_sfa_network_INH_GAMMA.py:206: recieves ==> receives
data/pynn-0.9.5/examples/iaf_sfa_relref/iaf_sfa_network_INH_GAMMA.py:207: recieves ==> receives
data/pynn-0.9.5/examples/iaf_sfa_relref/iaf_sfa_network_INH_GAMMA.py:309: everytime ==> every time
data/pynn-0.9.5/examples/iaf_sfa_relref/iaf_sfa_network_STATIC.py:84: pres ==> press
data/pynn-0.9.5/examples/iaf_sfa_relref/iaf_sfa_network_STATIC.py:204: recieves ==> receives
data/pynn-0.9.5/examples/iaf_sfa_relref/iaf_sfa_network_STATIC.py:205: recieves ==> receives
data/pynn-0.9.5/examples/iaf_sfa_relref/iaf_sfa_network_STATIC.py:206: recieves ==> receives
data/pynn-0.9.5/examples/iaf_sfa_relref/iaf_sfa_network_STATIC.py:207: recieves ==> receives
data/pynn-0.9.5/examples/iaf_sfa_relref/iaf_sfa_network_STATIC.py:209: recieves ==> receives
data/pynn-0.9.5/examples/iaf_sfa_relref/iaf_sfa_network_STATIC.py:210: recieves ==> receives
data/pynn-0.9.5/examples/iaf_sfa_relref/iaf_sfa_network_STATIC.py:211: recieves ==> receives
data/pynn-0.9.5/examples/iaf_sfa_relref/iaf_sfa_network_STATIC.py:212: recieves ==> receives
data/pynn-0.9.5/examples/iaf_sfa_relref/iaf_sfa_network_STATIC.py:303: everytime ==> every time
data/pynn-0.9.5/examples/iaf_sfa_relref/mcb.py:11: recieves ==> receives
data/pynn-0.9.5/examples/iaf_sfa_relref/mcb.py:12: recieves ==> receives
data/pynn-0.9.5/examples/tools/VAbenchmark_graphs.py:43: hist ==> heist, his
data/pynn-0.9.5/examples/tools/VAbenchmark_graphs.py:47: hist ==> heist, his
data/pynn-0.9.5/pyNN/connectors.py:128: togther ==> together
data/pynn-0.9.5/pyNN/models.py:55: togther ==> together
data/pynn-0.9.5/pyNN/space.py:44: Euclidian ==> Euclidean
data/pynn-0.9.5/pyNN/space.py:170: togther ==> together
data/pynn-0.9.5/pyNN/common/populations.py:950: togther ==> together
data/pynn-0.9.5/pyNN/common/populations.py:1465: togther ==> together
data/pynn-0.9.5/pyNN/common/projections.py:460: togther ==> together
data/pynn-0.9.5/pyNN/moose/simulator.py:6: useable ==> usable
data/pynn-0.9.5/pyNN/nemo/simulator.py:6: useable ==> usable
data/pynn-0.9.5/pyNN/nest/nineml.py:27: evironment ==> environment
data/pynn-0.9.5/pyNN/nest/simulator.py:62: defaut ==> default
data/pynn-0.9.5/pyNN/nest/extensions/CMakeLists.txt:11: informations ==> information
data/pynn-0.9.5/pyNN/neuron/simulator.py:6: useable ==> usable
data/pynn-0.9.5/pyNN/serialization/sonata.py:980: egde ==> edge
data/pynn-0.9.5/pyNN/standardmodels/__init__.py:120: correspondance ==> correspondence
data/pynn-0.9.5/pyNN/standardmodels/synapses.py:264: togther ==> together
data/pynn-0.9.5/test/benchmarks/connectors_benchmark.py:141: hist ==> heist, his
data/pynn-0.9.5/test/benchmarks/connectors_benchmark.py:144: hist ==> heist, his
data/pynn-0.9.5/test/system/scenarios/test_cell_types.py:127: hist ==> heist, his
data/pynn-0.9.5/test/system/scenarios/test_cell_types.py:178: hist ==> heist, his
data/pynn-0.9.5/test/system/scenarios/test_cell_types.py:240: hist ==> heist, his