Literature DB >> 11054923

Mental maze solving.

D A Crowe1, B B Averbeck, M V Chafee, J H Anderson, A P Georgopoulos.   

Abstract

We sought to determine how a visual maze is mentally solved. Human subjects (N = 13) viewed mazes with orthogonal, unbranched paths; each subject solved 200-600 mazes in any specific experiment below. There were four to six openings at the perimeter of the maze, of which four were labeled: one was the entry point and the remainder were potential exits marked by Arabic numerals. Starting at the entry point, in some mazes the path exited, whereas in others it terminated within the maze. Subjects were required to type the number corresponding to the true exit (if the path exited) or type zero (if the path did not exit). In all cases, the only required hand movement was a key press, and thus the hand never physically traveled through the maze. Response times (RT) were recorded and analyzed using a multiple linear regression model. RT increased as a function of key parameters of the maze, namely the length of the main path, the number of turns in the path, the direct distance from entry to termination, and the presence of an exit. The dependence of RT on the number of turns was present even when the path length was fixed in a separate experiment (N = 10 subjects). In a different experiment, subjects solved large and small mazes (N = 3 subjects). The former was the same as the latter but was scaled up by 1.77 times. Thus both kinds of mazes contained the same number of squares but each square subtended 1.77 degrees of visual angle (DVA) in the large maze, as compared to 1 DVA in the small one. We found that the average RT was practically the same in both cases. A multiple regression analysis revealed that the processing coefficients related to maze distance (i.e., path length and direct distance) were reduced by approximately one-half when solving large mazes, as compared to solving small mazes. This means that the efficiency in processing distance-related information almost doubled for scaled-up mazes. In contrast, the processing coefficients for number of turns and exit status were practically the same in the two cases. Finally, the eye movements of three subjects were recorded during maze solution. They consisted of sequences of saccades and fixations. The number of fixations in a trial increased as a linear function of the path length and number of turns. With respect to the fixations themselves, eyes tended to fixate on the main path and to follow it along its course, such that fixations occurring later in time were positioned at progressively longer distances from the entry point. Furthermore, the time the eyes spent at each fixation point increased as a linear function of the length and number of turns in the path segment between the current and the upcoming fixation points. These findings suggest that the maze segment from the current fixation spot to the next is being processed during the fixation time (FT), and that a significant aspect of this processing relates to the length and turns in that segment. We interpreted these relations to mean that the maze was mentally traversed. We then estimated the distance and endpoint of the path mentally traversed within a specific FT; we also hypothesized that the next portion of the main path would be traversed during the ensuing FT, and so on for the whole path. A prediction of this hypothesis is that the upcoming saccade would land the eyes at or near the locus on the path where the mental traversing ended, so that "the eyes would pick up where the mental traversal left off." In this way, a portion of the path would be traversed during a fixation and successive such portions would be strung together closely along the main path to complete the processing of the whole path. We tested this prediction by analyzing the relations between the path distance of mental traverse and the distance along the path between the current and the next fixation spot. (ABSTRACT TRUNCATED)

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Year:  2000        PMID: 11054923     DOI: 10.1162/089892900562426

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  10 in total

1.  Correlates of transsaccadic integration in the primary visual cortex of the monkey.

Authors:  Paul S Khayat; Henk Spekreijse; Pieter R Roelfsema
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-10       Impact factor: 11.205

2.  Participation of primary motor cortical neurons in a distributed network during maze solution: representation of spatial parameters and time-course comparison with parietal area 7a.

Authors:  David A Crowe; Matthew V Chafee; Bruno B Averbeck; Apostolos P Georgopoulos
Journal:  Exp Brain Res       Date:  2004-03-20       Impact factor: 1.972

3.  Neural mechanisms underlying the exploration of small city maps using magnetoencephalography.

Authors:  Sofia Sakellaridi; Peka Christova; Vassilios Christopoulos; Arthur C Leuthold; John Peponis; Apostolos P Georgopoulos
Journal:  Exp Brain Res       Date:  2015-08-08       Impact factor: 1.972

4.  Mental maze solving: directional fMRI tuning and population coding in the superior parietal lobule.

Authors:  Pavlos Gourtzelidis; Charidimos Tzagarakis; Scott M Lewis; David A Crowe; Edward Auerbach; Trenton A Jerde; Kâmil Uğurbil; Apostolos P Georgopoulos
Journal:  Exp Brain Res       Date:  2005-06-07       Impact factor: 1.972

5.  Ultra-high field parallel imaging of the superior parietal lobule during mental maze solving.

Authors:  Trenton A Jerde; Scott M Lewis; Ute Goerke; Pavlos Gourtzelidis; Charidimos Tzagarakis; Joshua Lynch; Steen Moeller; Pierre-François Van de Moortele; Gregor Adriany; Jeran Trangle; Kâmil Uğurbil; Apostolos P Georgopoulos
Journal:  Exp Brain Res       Date:  2008-02-28       Impact factor: 1.972

6.  Exploring small city maps.

Authors:  Peka Christova; Martin Scoppa; John Peponis; Apostolos P Georgopoulos
Journal:  Exp Brain Res       Date:  2012-09-19       Impact factor: 1.972

7.  Eye movements reveal spatiotemporal dynamics of visually-informed planning in navigation.

Authors:  Seren Zhu; Kaushik J Lakshminarasimhan; Nastaran Arfaei; Dora E Angelaki
Journal:  Elife       Date:  2022-05-03       Impact factor: 8.713

8.  One-Shot Multi-Path Planning Using Fully Convolutional Networks in a Comparison to Other Algorithms.

Authors:  Tomas Kulvicius; Sebastian Herzog; Timo Lüddecke; Minija Tamosiunaite; Florentin Wörgötter
Journal:  Front Neurorobot       Date:  2021-01-08       Impact factor: 2.650

9.  Thinking in spatial terms: decoupling spatial representation from sensorimotor control in monkey posterior parietal areas 7a and LIP.

Authors:  Matthew V Chafee; David A Crowe
Journal:  Front Integr Neurosci       Date:  2013-01-25

10.  Serial grouping of 2D-image regions with object-based attention in humans.

Authors:  Danique Jeurissen; Matthew W Self; Pieter R Roelfsema
Journal:  Elife       Date:  2016-06-13       Impact factor: 8.140

  10 in total

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