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Imperial
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To give the reader a more clear view of the GVNS potentialities a number of demonstrations is included in this CD-ROM. Table 1 has indicated their objectives, relation to the simulations carried out in the thesis and physical file used to run the demo. For graphic information about structure, typical performances, and activations try the links underneath each demonstration heading.
|
Demonstration
heading |
File that runs demonstration |
Objectives |
Base simulation |
Correlated chapter in the thesis |
|
1_Mono_regions |
_RunDemo_1_MONO_Learning.bat |
Shows how learning happens
for a mono region topology |
Equivalence - Sim2603 |
Chapter6 |
|
_RunDemo_1_MONO_NoLearning.bat |
Shows how an already
trained mono region topology reacts to stimulation |
Equivalence - Sim2603 |
Chapter6 |
|
|
2_Multi_regions |
_RunDemo_2_MULTI_Learning.bat |
Shows how learning happens
for a multi region topology |
Equivalence - Sim2703 |
Chapter6 |
|
_RunDemo_2_ MULTI
_NoLearning.bat |
Shows how an already
trained multi region topology reacts to
stimulation |
Equivalence - Sim2703 |
Chapter6 |
|
|
3_Sensory_FeedBack-Active |
_RunDemo_3_SENSORY_ActiveFB_Learning.bat |
Shows how learning happens
at the same time feedback connection produce activations in the map |
Active-Passive - Sim1905 |
Chapter6 |
|
_RunDemo_3_SENSORY_ActiveFB_NoLearning.bat |
Shows how an already
trained topology reacts to stimulation at the same time feedback connection produce
activations in the map |
Active-Passive - Sim1905 |
Chapter6 |
|
|
3_Sensory_FeedBack-Passive |
_RunDemo_3_SENSORY_PassiveFB_Stimulus.bat |
Enables user to externally
stimulate stimulus sources of an already trained topology |
Active-Passive - Sim2005 |
Chapter6 |
|
_RunDemo_3_SENSORY_PassiveFB_Effector.bat |
Enables user to externally
stimulate effectors of an already trained topology |
Active-Passive - Sim2005 |
Chapter6 |
|
|
_RunDemo_3_SENSORY_PassiveFB_StimEffector.bat |
Enables user to externally
stimulate stimulus sources and effectors of an already trained topology |
Active-Passive - Sim2005 |
Chapter6 |
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4_Modulation-Thresholding |
_RunDemo_4_MODULATION_ThresholdingHIGH_NoLearning.bat |
Shows how an already
trained topology reacts to stimulation at the same time feedback connection
produce activations in the map and a HIGH shareholding is applied to motor
areas |
Modulation - Sim3105 |
Chapter6 |
|
_RunDemo_4_MODULATION_ThresholdingLOW_NoLearning.bat |
Shows how an already
trained topology reacts to stimulation at the same time feedback connection
produce activations in the map and a LOW shareholding is applied to motor
areas |
Modulation - Sim3105 |
Chapter6 |
|
|
4_Modulation-Inhibition-Excitation |
_RunDemo_4_MODULATION_InhibExcitationMODZERO_NoLearning.bat |
Shows how an already trained
topology reacts to stimulation where three regions are NOT gated by a fourth
region via inhibitory, excitatory and no u-fibres |
Modulation - Sim0106 |
Chapter6 |
|
_RunDemo_4_MODULATION_InhibExcitationMODONE_NoLearning.bat |
Shows how an already trained
topology reacts to stimulation where three regions are YES gated by a fourth
region via inhibitory, excitatory and no u-fibres |
Modulation - Sim0106 |
Chapter6 |
|
|
5_Ageing |
_RunDemo_5_AGEING_LEFT_NoLearning.bat |
In four processing phases
of an already trained topology this demo shows the progressive consequences of
ageing in the LEFT regions of the map |
Ageing - Sim2905 |
Chapter6 |
|
_RunDemo_5_AGEING_RIGHT_NoLearning.bat |
In four processing phases
of an already trained topology this demo shows the progressive consequences of
ageing in the RIGHT regions of the map |
Ageing - Sim2905 |
Chapter6 |
|
|
_RunDemo_5_AGEING_ALL_NoLearning.bat |
In four processing phases
of an already trained topology this
demo shows the progressive consequences of ageing in the ALL regions of the map |
Ageing - Sim2905 |
Chapter6 |
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6_Stroke Affecting Mono-Regions |
_RunDemo_6_STROKEPROGRESSIVE_5PC.bat |
Shows how an already trained
mono-region topology reacts to stimulation at the same time progressive
STROKE lesions affect initially 5% of its units |
Stroke - Sim0104 |
Chapter7 |
|
_RunDemo_6_STROKEPROGRESSIVE_35PC.bat |
Shows how an already trained
mono-region topology reacts to stimulation at the same time progressive
STROKE lesions affect initially 35% of its units |
Stroke - Sim0104 |
Chapter7 |
|
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7_MS Affecting Afferents/Efferents |
_RunDemo_7_MSPROGRESSIVE_Afferents.bat |
Shows how an already
trained mono-region topology reacts to stimulation at the same time progressive
MS lesions affect its AFFERENT connections |
Multiple Sclerosis -
Sim2504 |
Chapter7 |
|
_RunDemo_7_MSPROGRESSIVE_Efferents.bat |
Shows how an already
trained mono-region topology reacts to stimulation at the same time progressive
MS lesions affect its EFFERENT connections |
Multiple Sclerosis -
Sim2504 |
Chapter7 |
|
|
8_Contral-Lateral
Inhibition |
_RunDemo_8_CONTRALATERALINHIBITION_NoLearning.bat |
Shows how an already
trained topology controls behaviour WITHOUT additional activations at other
regions due to contra-lateral inhibition |
Contra-lateral Inhibition
- Sim1506 |
Chapter6 |
|
9_Contra-Lateral Activations due to Stroke |
_RunDemo_9_CONTRALATERALACT_STROKE_MotorLeft.bat |
Shows how an already trained
topology controls behaviour PRESENTING additional activations at
contra-lateral region due to stroke lesions affecting the MOTOR LEFT region |
Contra-lateral Inhibition
- Sim1706A |
Chapter7 |
|
_RunDemo_9_CONTRALATERALACT_STROKE_SensoryRight.bat |
Shows how an already
trained topology controls behaviour PRESENTING additional activations at
contra-lateral region due to stroke lesions affecting the SENSORY-RIGHT region |
Contra-lateral Inhibition
- Sim1706A |
Chapter7 |
|
|
10_Contra-Lateral
Activations due to Multiple Sclerosis |
_RunDemo_10_CONTRALATERALACT_MS_MotorLeftRight.bat |
Shows how an already
trained topology controls behaviour PRESENTING additional activations at
contra-lateral region due to MS lesions affecting MOTOR LEFT-RIGHT
commissural fibres |
Contra-lateral Inhibition
- Sim1706B |
Chapter7 |
Table 1 – Explanation on demonstrations of this CD-ROM and
how they relate to the simulations of the thesis