The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Olfactory Learning-Set Formation in Rats
Abstract
Rats trained on 16 two-odor discrimination problems showed rapid acquisition of a learning set and one-trial learning by the end of the problem series. Learning to sample odor cues before responding and adoption of a "win-stay, lose-shift" strategy probably accounts for the virtually errorless learning. Learning-set performance of rats trained with odor stimuli is comparable to that reported for primates trained on visual cues.
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Cites
The formation of learning sets.
Harlow, H. F. (1949) · Psychological Review · doi:10.1037/h0062474 · Cited by 1,959
Cited by
Remembrance of places passed: Spatial memory in rats.
Olton, D. S., & Samuelson, R. J. (1976) · Journal of Experimental Psychology: Animal Behavior Processes · doi:10.1037//0097-7403.2.2.97 · Cited by 1,998
Universal intelligence: a definition of machine intelligence
Legg, S., & Hutter, M. (2007) · Minds and Machines · doi:10.1007/s11023-007-9079-x · Cited by 803
An initial evaluation of the functions of human olfaction
Stevenson, R. J. (2010) · Chemical Senses · doi:10.1093/chemse/bjp083 · Cited by 689
New life in an old idea: The synaptic plasticity and memory hypothesis revisited
Martin, S. J., & Morris, R. G. M. (2002) · Hippocampus · doi:10.1002/hipo.10107 · Cited by 437
Orbitofrontal cortex neurons: role in olfactory and visual association learning
Rolls, E. T., Critchley, H. D., Mason, R., & Wakeman, E. A. (1996) · Journal of Neurophysiology · doi:10.1152/jn.1996.75.5.1970 · Cited by 398
Metadata
- Authors
- Slotnick, B. M., & Katz, H. M.
- Venue
- Science
- Published
- 1974-08-30
- Volume
- 185
- Issue
- 4153
- Pages
- 796-798
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2089158715
- Cited by
- 202
- References
- 1
- FWCI
- 3.34
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
