Name
Title | ||
|---|---|---|
Encoding categorical and coordinate spatial relations without input-output correlations: New simulation models |
Abstract | ||
|---|---|---|
Cook (1995) criticized Kosslyn, Chabris, Marsolek & Koenig's (1992) network simulation models of spatial relations encoding in part because the absolute position of a stimulus in the input array was correlated with its spatial relation to a landmark; thus, on at least some trials, the networks did not need to compute spatial relations. The network models reported here include larger input arrays, which allow stimuli to appear in a large range of locations with an equal probability of being above or below a “bar,” thus eliminating the confound present in earlier models. The results confirm the original hypothesis that as the size of the network's receptive fields increases, performance on a coordinate spatial relations task (which requires computing precise, metric distance) will be relatively better than on a categorical spatial relations task (which requires computing above/below relative to a landmark). |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1016/S0364-0213(99)80051-2 | Cognitive Science |
Keywords | Field | DocType |
spatial relation,simulation model,input output | Spatial relation,Categorical variable,Computer science,Cognitive psychology,Metric (mathematics),Algorithm,Network simulation,Input/output,Artificial intelligence,Artificial neural network,Landmark,Network model | Journal |
Volume | Issue | ISSN |
23 | 1 | 0364-0213 |
Citations | PageRank | References |
2 | 0.53 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David P. Baker | 1 | 117 | 14.08 |
| Christopher F. Chabris | 2 | 47 | 10.69 |
| Stephen M. Kosslyn | 3 | 70 | 83.11 |