Probabilistic map learning: Necessity and difficulties

1996 ◽  
pp. 307-321 ◽  
Author(s):  
P. Hébert ◽  
S. Betgé-Brezetz ◽  
R. Chatila
Keyword(s):  
Map Learning ◽  
Probabilistic Map

Map learning may be impaired after right-hemisphere stroke

2010 ◽  
Author(s):  
Peii Chen ◽  
C. Priscilla Galarza ◽  
Kimberly Hreha ◽  
Tara Miceli ◽  
Anna M. Barrett
Keyword(s):  
Right Hemisphere ◽  
Map Learning ◽  
Right Hemisphere Stroke

Application of Multimedia Learning Theory to Map Learning and Driving Navigation

2008 ◽  
Author(s):  
Laura Morett ◽  
Benjamin Clegg ◽  
Lisa Durrance ◽  
Heather Mong
Keyword(s):  
Learning Theory ◽  
Multimedia Learning ◽  
Map Learning ◽  
Multimedia Learning Theory

Mapping efficacious deep brain stimulation for pediatric dystonia

2021 ◽  
pp. 1-11
Author(s):  
Ailish Coblentz ◽  
Gavin J. B. Elias ◽  
Alexandre Boutet ◽  
Jurgen Germann ◽  
Musleh Algarni ◽  
...  
Keyword(s):  
Deep Brain Stimulation ◽  
Clinical Outcome ◽  
Brain Stimulation ◽  
Pediatric Patients ◽  
Rating Scale ◽  
Structural Connectivity ◽  
Response To Treatment ◽  
Internal Globus Pallidus ◽  
Probabilistic Map ◽  
Deep Brain

OBJECTIVEThe objective of this study was to report the authors’ experience with deep brain stimulation (DBS) of the internal globus pallidus (GPi) as a treatment for pediatric dystonia, and to elucidate substrates underlying clinical outcome using state-of-the-art neuroimaging techniques.METHODSA retrospective analysis was conducted in 11 pediatric patients (6 girls and 5 boys, mean age 12 ± 4 years) with medically refractory dystonia who underwent GPi-DBS implantation between June 2009 and September 2017. Using pre- and postoperative MRI, volumes of tissue activated were modeled and weighted by clinical outcome to identify brain regions associated with clinical outcome. Functional and structural networks associated with clinical benefits were also determined using large-scale normative data sets.RESULTSA total of 21 implanted leads were analyzed in 11 patients. The average follow-up duration was 19 ± 20 months (median 5 months). Using a 7-point clinical rating scale, 10 patients showed response to treatment, as defined by scores < 3. The mean improvement in the Burke-Fahn-Marsden Dystonia Rating Scale motor score was 40% ± 23%. The probabilistic map of efficacy showed that the voxel cluster most associated with clinical improvement was located at the posterior aspect of the GPi, comparatively posterior and superior to the coordinates of the classic GPi target. Strong functional and structural connectivity was evident between the probabilistic map and areas such as the precentral and postcentral gyri, parietooccipital cortex, and brainstem.CONCLUSIONSThis study reported on a series of pediatric patients with dystonia in whom GPi-DBS resulted in variable clinical benefit and described a clinically favorable stimulation site for this cohort, as well as its structural and functional connectivity. This information could be valuable for improving surgical planning, simplifying programming, and further informing disease pathophysiology.

Perception-action map learning in controlled multiscroll systems applied to robot navigation

2008 ◽  
Vol 18 (4) ◽  
pp. 043119 ◽  
Author(s):  
Paolo Arena ◽  
Sebastiano De Fiore ◽  
Luigi Fortuna ◽  
Luca Patané
Keyword(s):  
Robot Navigation ◽  
Map Learning ◽  
Perception Action

Drone-Based Car Counting via Density Map Learning

2020 ◽  
Author(s):  
Jingxian Huang ◽  
Guanchen Ding ◽  
Yujia Guo ◽  
Daiqin Yang ◽  
Sihan Wang ◽  
...  
Keyword(s):  
Map Learning ◽  
Density Map

scholarly journals Cognitive map formation through haptic and visual exploration of tactile city-like maps

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Loes Ottink ◽  
Marit Hoogendonk ◽  
Christian F. Doeller ◽  
Thea M. Van der Geest ◽  
Richard J. A. Van Wezel
Keyword(s):  
Visual Information ◽  
Spatial Information ◽  
Cognitive Map ◽  
Visual Exploration ◽  
Distinct Advantage ◽  
Small Scale ◽  
Map Learning ◽  
Scale Models ◽  
Spatial Tasks ◽  
Tactile Maps

AbstractIn this study, we compared cognitive map formation of small-scale models of city-like environments presented in visual or tactile/haptic modalities. Previous research often addresses only a limited amount of cognitive map aspects. We wanted to combine several of these aspects to elucidate a more complete view. Therefore, we assessed different types of spatial information, and consider egocentric as well as allocentric perspectives. Furthermore, we compared haptic map learning with visual map learning. In total 18 sighted participants (9 in a haptic condition, 9 visuo-haptic) learned three tactile maps of city-like environments. The maps differed in complexity, and had five marked locations associated with unique items. Participants estimated distances between item pairs, rebuilt the map, recalled locations, and navigated two routes, after learning each map. All participants overall performed well on the spatial tasks. Interestingly, only on the complex maps, participants performed worse in the haptic condition than the visuo-haptic, suggesting no distinct advantage of vision on the simple map. These results support ideas of modality-independent representations of space. Although it is less clear on the more complex maps, our findings indicate that participants using only haptic or a combination of haptic and visual information both form a quite accurate cognitive map of a simple tactile city-like map.

Yield prediction in apples using Fuzzy Cognitive Map learning approach

2013 ◽  
Vol 91 ◽  
pp. 19-29 ◽  
Author(s):  
E.I. Papageorgiou ◽  
K.D. Aggelopoulou ◽  
T.A. Gemtos ◽  
G.D. Nanos
Keyword(s):  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Learning Approach ◽  
Yield Prediction ◽  
Map Learning

All-optical implementation of a self-organizing map: Learning and taxonomy capability assessment

1995 ◽  
Vol 34 (35) ◽  
pp. 8167 ◽  
Author(s):  
K. Heggarty ◽  
J. Duvillier ◽  
E. Carpio Pérez ◽  
J. L. de Bougrenet de la Tocnaye
Keyword(s):  
Self Organizing Map ◽  
Map Learning ◽  
All Optical ◽  
Self Organizing
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