Relevant bibliographies by topics / Computerised maze navigation task

Academic literature on the topic 'Computerised maze navigation task'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Computerised maze navigation task"

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Caruana, Nathan, Genevieve McArthur, Alexandra Woolgar, and Jon Brock. "Detecting communicative intent in a computerised test of joint attention." PeerJ 5 (January 17, 2017): e2899. http://dx.doi.org/10.7717/peerj.2899.

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The successful navigation of social interactions depends on a range of cognitive faculties—including the ability to achieve joint attention with others to share information and experiences. We investigated the influence that intention monitoring processes have on gaze-following response times during joint attention. We employed a virtual reality task in which 16 healthy adults engaged in a collaborative game with a virtual partner to locate a target in a visual array. In theSearchtask, the virtual partner was programmed to engage in non-communicative gaze shifts in search of the target, establish eye contact, and then display a communicative gaze shift to guide the participant to the target. In theNoSearchtask, the virtual partner simply established eye contact and then made a single communicative gaze shift towards the target (i.e., there were no non-communicative gaze shifts in search of the target). Thus, only the Search task required participants to monitor their partner’s communicative intent before responding to joint attention bids. We found that gaze following was significantly slower in the Search task than the NoSearch task. However, the same effect on response times was not observed when participants completed non-social control versions of the Search and NoSearch tasks, in which the avatar’s gaze was replaced by arrow cues. These data demonstrate that the intention monitoring processes involved in differentiating communicative and non-communicative gaze shifts during the Search task had a measurable influence on subsequent joint attention behaviour. The empirical and methodological implications of these findings for the fields of autism and social neuroscience will be discussed.
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Haroutonian, C., I. Johnston, A. Ricciardiello, A. Lam, R. Grunstein, A. D’Rozario, and S. Naismith. "P050 Familiar locations and new locations: sleep’s role in the consolidation of spatial navigation information using a novel virtual Morris water maze task in older adults with mild cognitive impairment." SLEEP Advances 2, Supplement_1 (October 1, 2021): A37. http://dx.doi.org/10.1093/sleepadvances/zpab014.097.

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Abstract Introduction The ability to navigate oneself in space is one of the first functional impairments in Alzheimer’s disease (AD). A 3D-computerised spatial navigation (SN) task was designed to delineate, for the first time in a sleep-dependent memory paradigm, egocentric and allocentric SN, the latter identified as one cognitive biomarker of AD. We examined group differences in SN memory and associations with sleep macroarchitecture. Methods Older adults with mild cognitive impairment (MCI, n=32) and controls (n=25) underwent overnight polysomnography and completed the SN task before and after sleep. Participants learnt the location of a target over 5 trials (familiar location; egocentric-dependent), then were instructed to find the target from a novel start location (allocentric-dependent). Memory % retention (MR) from both start locations were calculated by the XY coordinate of marked location to correct location of the target, pre- and post-sleep. Navigational strategies were coded using self-reported description of how participants’ found the target. Associations between MR with REM and SWS % duration, and AHI in REM and NREM were examined using Spearman’s correlations. Results Repeated-measures ANOVA showed Controls MR improved overnight whereas MCI performed worse (F=7.46, p=.009), with greatest differences on familiar start location MR (p=.02). Strategy as a covariate revealed a location by strategy interaction (p=01). Novel location MR was associated with REM%, rho=.448, (p=.02) in Controls, and REM-AHI, rho=.400 (p=.02) in MCI. Conclusion Behavioural and self-reported results suggest disrupted SN strategies relative to environment in MCI. Future studies should examine SN in association with sleep-wake neurophysiology and neuronal integrity.
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Honan, Cynthia A., Skye McDonald, and Alana Fisher. "Visuospatial Learning in Traumatic Brain Injury: An Examination of Impairments using the Computerised Austin Maze Task." Brain Impairment 16, no. 1 (March 17, 2015): 19–27. http://dx.doi.org/10.1017/brimp.2015.3.

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An important aspect of cognitive functioning that is often impaired following traumatic brain injury (TBI) is visuospatial learning and memory. The Austin Maze task is a measure of visuospatial learning that has a long history in both clinical neuropsychological practice and research, particularly in individuals with TBI. The aim of this study was to evaluate visuospatial learning deficits following TBI using a new computerised version of the Austin Maze task. Twenty-eight individuals with moderate-to-severe TBI were compared to 28 healthy controls on this task, together with alternative neuropsychological measures, including the WAIS-III Digit Symbol and Digit Span subtests, the Trail Making Test, WMS-III Logical Memory, and Rey Osterrieth Complex Figure Test. The results demonstrated that TBI individuals performed significantly more poorly on the Austin Maze task than control participants. The Austin Maze task also demonstrated good convergent and divergent validity with the alternative neuropsychological measures. Thus, the computerised version of the Austin Maze appears to be a sensitive measure that can detect visuospatial learning impairments in individuals with moderate-to-severe TBI. The new computerised version of the task offers much promise in that it is more accessible and easier to administer than the conventional form of the test.
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Shikauchi, Yumi, Masahiro Adomi, and Shin Ishii. "Separation of exploration and exploitation in maze navigation task." Neuroscience Research 68 (January 2010): e102. http://dx.doi.org/10.1016/j.neures.2010.07.215.

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Schmitzer-Torbert, Neil, and A. David Redish. "Neuronal Activity in the Rodent Dorsal Striatum in Sequential Navigation: Separation of Spatial and Reward Responses on the Multiple T Task." Journal of Neurophysiology 91, no. 5 (May 2004): 2259–72. http://dx.doi.org/10.1152/jn.00687.2003.

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The striatum plays an important role in “habitual” learning and memory and has been hypothesized to implement a reinforcement-learning algorithm to select actions to perform given the current sensory input. Many experimental approaches to striatal activity have made use of temporally structured tasks, which imply that the striatal representation is temporal. To test this assumption, we recorded neurons in the dorsal striatum of rats running a sequential navigation task: the multiple T maze. Rats navigated a sequence of four T maze turns to receive food rewards delivered in two locations. The responses of neurons that fired phasically were examined. Task-responsive phasic neurons were active as rats ran on the maze (maze-responsive) or during reward receipt (reward-responsive). Neither mazenor reward-responsive neurons encoded simple motor commands: maze-responses were not well correlated with the shape of the rat's path and most reward-responsive neurons did not fire at similar rates at both food-delivery sites. Maze-responsive neurons were active at one or more locations on the maze, but these responses did not cluster at spatial landmarks such as turns. Across sessions the activity of maze-responsive neurons was highly correlated when rats ran the same maze. Maze-responses encoded the location of the rat on the maze and imply a spatial representation in the striatum in a task with prominent spatial demands. Maze-responsive and reward-responsive neurons were two separate populations, suggesting a divergence in striatal information processing of navigation and reward.
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Muela, Pablo, Elisa Cintado, Patricia Tezanos, Benjamín Fernández-García, Cristina Tomás-Zapico, Eduardo Iglesias-Gutiérrez, Angel Enrique Díaz Martínez, et al. "A Multiple-Choice Maze-like Spatial Navigation Task for Humans Implemented in a Real-Space, Multipurpose Circular Arena." Applied Sciences 12, no. 19 (September 27, 2022): 9707. http://dx.doi.org/10.3390/app12199707.

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Spatial navigation is a key aspect of human behavior and it is still not completely understood. A number of experimental approaches exist, although most of the published data in the last decades have relied on virtual maze on-screen simulation or not-completely freely moving 3D devices. Some interesting recent developments, such as circular mazes, have contributed to analyze critical aspects of freely moving human spatial navigation in real space, although dedicated protocols only allow for simple approaches. Here, we have developed both specifically designed and home-assembled hardware equipment, and a customized protocol for spatial navigation evaluation in freely moving humans in a real space circular arena. The spatial navigation protocol poses an imitation of a real-space multiple-choice path maze with cul-de-sac and instances of non-linear movement. We have compared the results of this system to those of a number of validated, both virtual and real, spatial navigation tests in a group of participants. The system composed by hardware, the test protocol, and dedicated measure analysis designed in our laboratory allows us to evaluate human spatial navigation in a complex maze with a small and portable structure, yielding a highly flexible, adaptable, and versatile access to information about the subjects’ spatial navigation abilities.
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Kahana, Michael J., Robert Sekuler, Jeremy B. Caplan, Matthew Kirschen, and Joseph R. Madsen. "Human theta oscillations exhibit task dependence during virtual maze navigation." Nature 399, no. 6738 (June 1999): 781–84. http://dx.doi.org/10.1038/21645.

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Lee, Yoonjeong, Samantha Gordon Danner, Benjamin Parrell, Sungbok Lee, Louis Goldstein, and Dani Byrd. "Articulatory, acoustic, and prosodic accommodation in a cooperative maze navigation task." PLOS ONE 13, no. 8 (August 7, 2018): e0201444. http://dx.doi.org/10.1371/journal.pone.0201444.

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Madsen, Joseph R., Matthew Kirschen, Jeremy B. Caplan, Robert Sekuler, and Michael J. Kahana. "Task-related Theta Activity from Intracranial Recordings During Virtual Maze Navigation." Neurosurgery 45, no. 3 (September 1999): 701. http://dx.doi.org/10.1097/00006123-199909000-00085.

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Amir, Nadav, Reut Suliman-Lavie, Maayan Tal, Sagiv Shifman, Naftali Tishby, and Israel Nelken. "Value-complexity tradeoff explains mouse navigational learning." PLOS Computational Biology 16, no. 12 (December 11, 2020): e1008497. http://dx.doi.org/10.1371/journal.pcbi.1008497.

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We introduce a novel methodology for describing animal behavior as a tradeoff between value and complexity, using the Morris Water Maze navigation task as a concrete example. We develop a dynamical system model of the Water Maze navigation task, solve its optimal control under varying complexity constraints, and analyze the learning process in terms of the value and complexity of swimming trajectories. The value of a trajectory is related to its energetic cost and is correlated with swimming time. Complexity is a novel learning metric which measures how unlikely is a trajectory to be generated by a naive animal. Our model is analytically tractable, provides good fit to observed behavior and reveals that the learning process is characterized by early value optimization followed by complexity reduction. Furthermore, complexity sensitively characterizes behavioral differences between mouse strains.
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Dissertations / Theses on the topic "Computerised maze navigation task"

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Brett, Frances Madeleine. "Effect of spatial visual cue proximity and thalamic lesions on performance of rats on a cheeseboard maze task." Thesis, University of Canterbury. Psychology, 2011. http://hdl.handle.net/10092/5803.

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Episodic memory is processed by the extended hippocampal system, and pathology or injury to individual components of this system can result in deficits in spatial learning and memory (Aggleton & Brown, 1999). Extensive research regarding spatial memory has been carried out on the anterior thalamic nuclei, a component of the extended hippocampal system, but the contribution of the laterodorsal thalamic nuclei, an adjacent structure with similar neural connections, is less clear. The purpose of the present study was to compare the effects of selective anterior thalamic nuclei lesions (AT) with selective laterodorsal thalamic nuclei lesions (LD) in a novel land-based spatial reference memory task. This assessed the use of proximal and distal visual cues on the propensity to use allocentric or egocentric navigation strategies to locate a specific place in space, as well as the temporal evolution of these navigation strategies. AT lesion impairments were observed in the acquisition trials in both proximal and distal cue conditions. LD lesion rats were unimpaired in the acquisition trials in both visual cue conditions. Across the probe trials, lesion effects were not observed when tested for general navigation, egocentric or allocentric strategies, and there was no clear improvement in performance over the four weeks of probe trials. However, performance was consistently poorer for all groups when proximal cues facilitated navigation compared to distal cues. Performance differences related to cue proximity may reflect the influence of motion parallax, the perceived displacement rate of visual cues. The absence of lesion effects across probes were thought to be due to the preferential use of cued navigation, which was reliant on a single salient beacon, and the lack of integration between cued and place navigation, which was reliant on the formation of a spatial representation.
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Weiller, Daniel. "Involving behavior in the formation of sensory representations." Doctoral thesis, 2009. https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-2009070822.

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Neurons are sensitive to specific aspects of natural stimuli, which are according to different statistical criteria an optimal representation of the natural sensory input. Since these representations are purely sensory, it is still an open question whether they are suited to generate meaningful behavior. Here we introduce an optimization scheme that applies a statistical criterion to an agent s sensory input while taking its motor behavior into account. We first introduce a general cognitive model, and second develop an optimization scheme that increases the predictability of the sensory outcome of the agent s motor actions and apply this to a navigational paradigm.In the cognitive model, place cells divide the environment into discrete states, similar to hippocampal place cells. The agents learned the sensory outcome of its action by the state-to-state transition probabilities and the extent to which these motor actions are caused by sensory-driven reflexive behavior (obstacle avoidance). Navigational decision making integrates both learned components to derive the actions that are most likely to lead to a navigational goal. Next we introduced an optimization process that modified the state distributions to increase the predictability of the sensory outcome of the agent s actions.The cognitive model successfully performs the navigational task, and the differentiation between transitions and reflexive processing increases both behavioral accuracy, as well as behavioral adaptation to changes in the environment. Further, the optimized sensory states are similar to place fields found in behaving animals. The spatial distribution of states depends on the agent s motor capabilities as well as on the environment. We proofed the generality of predictability as a coding principle by comparing it to the existing ones. Our results suggest that the agent s motor apparatus can play a profound role in the formation of place fields and thus in higher sensory representations.
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Book chapters on the topic "Computerised maze navigation task"

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Sheynikhovich, Denis, Laurent Dollé, Ricardo Chavarriaga, and Angelo Arleo. "Minimal Model of Strategy Switching in the Plus-Maze Navigation Task." In From Animals to Animats 11, 390–401. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15193-4_37.

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Conference papers on the topic "Computerised maze navigation task"

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Sáenz, Ariel, Leonardo Zapata-Fonseca, Tom Froese, and Ruben Fossion. "Quantification of movement patterns during a maze navigation task." In 1ST INTERNATIONAL CONFERENCE ON BIOINFORMATICS, BIOTECHNOLOGY, AND BIOMEDICAL ENGINEERING (BIOMIC 2018). Author(s), 2019. http://dx.doi.org/10.1063/1.5095927.

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