The DOI matches its Crossref record; 28 of the 29 references it cites were found in a registry or an index.
The touchscreen cognitive testing method for rodents: How to get the best out of your rat
Open accessAbstract
The touchscreen testing method for rodents is a computer-automated behavioral testing method that allows computer graphic stimuli to be presented to rodents and the rodents to respond to the computer screen via a nose-poke directly to the stimulus. The advantages of this method are numerous; however, a systematic study of the parameters that affect learning has not yet been conducted. We therefore sought to optimize stimuli and task parameters in this method. We found that when parameters were optimized, Lister Hooded rats could learn rapidly using this method, solving a discrimination of two-dimensional stimuli to a level of 80% within five to six sessions lasting ∼30 min each. In a final experiment we tested both male and female rats of the albino Sprague-Dawley strain, which are often assumed to have visual abilities far too poor to be useful for studies of visual cognition. The performance of female Sprague-Dawley rats was indistinguishable from that of their male counterparts. Furthermore, performance of male Sprague-Dawley rats was indistinguishable from that of their Lister Hooded counterparts. Finally, Experiment 5 examined the ability of Lister Hooded rats to learn a discrimination between photographic stimuli. Under conditions in which parameters were optimized, rats were remarkably adept at this discrimination. Taken together, these experiments served to optimize the touchscreen method and have demonstrated its usefulness as a high-throughput method for the cognitive testing of rodents.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“available mouse operant touchscreen paradigms seem to have face validity63,89,101–104 relative to human cognitive touchscreen tasks97, although there is concern that the cognitive profile of Fmr1-KO mice may not emulate the cognitive deficits in the human syndrome63.”
From Drug development for neurodevelopmental disorders: lessons learned from fragile X syndrome (2018) · cites this paper as [104]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Robbins, T. W., James, M., Owen, A. M., Sahakian, B. J., McInnes, L., & Rabbitt, P. (1994) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000106735 · Cited by 1,078
Parkinson, J. A., Olmstead, M. C., Burns, L. H., Robbins, T. W., & Everitt, B. J. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-06-02401.1999 · Cited by 555
Chudasama, Y., & Robbins, T. W. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-25-08771.2003 · Cited by 543
Variation in visual acuity within pigmented, and between pigmented and albino rat strains
Prusky, G. T., Harker, K. T., Douglas, R. M., & Whishaw, I. Q. (2002) · Behavioural Brain Research · doi:10.1016/s0166-4328(02)00126-2 · Cited by 321
Bussey, T. J., Muir, J. L., Everitt, B. J., & Robbins, T. W. (1997) · Behavioral Neuroscience · doi:10.1037//0735-7044.111.5.920 · Cited by 311
Self-citationParkinson, J. A., Dalley, J. W., Cardinal, R. N., Bamford, A., Fehnert, B., Lachenal, G., Rudarakanchana, N., Halkerston, K. M., Robbins, T. W., & Everitt, B. J. (2002) · Behavioural Brain Research · doi:10.1016/s0166-4328(02)00291-7 · Cited by 288
Bussey, T. J., Saksida, L. M., & Murray, E. A. (2003) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2003.02475.x · Cited by 221
Self-citationDalley, J. W., Lääne, K., Theobald, D. E. H., Armstrong, H. C., Corlett, P. R., Chudasama, Y., & Robbins, T. W. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0502080102 · Cited by 214
Bussey, T. J., Everitt, B. J., & Robbins, T. W. (1997) · Behavioral Neuroscience · doi:10.1037//0735-7044.111.5.908 · Cited by 210
Self-citationBehavioral phenotypes of amyloid‐based genetically modified mouse models of Alzheimer's disease
Kobayashi, D. T., & Chen, K. S. (2005) · Genes Brain & Behavior · doi:10.1111/j.1601-183x.2005.00124.x · Cited by 182
Flagged first, then by citations
1 of the 29 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 201–256 of 256
Cognitive Performance during the Development of Diabetes in the Zucker Diabetic Fatty Rat
Spoelder, M., Bright, Y., Morrison, M. C., van Kempen, V., de Groodt, L., Begalli, M., Schuijt, N., Kruiger, E., Bulthuis, R., Gross, G., et al. (2023) · Cells · doi:10.3390/cells12202463 · Cited by 3
Elusive Phenomena, Unwieldy Things
Schickore, J., & Newman, W. R. (2024) · Archimedes · doi:10.1007/978-3-031-52954-2 · Cited by 3
Obert, D. P., Park, G., Vincent, K. F., & Solt, K. (2025) · British Journal of Anaesthesia · doi:10.1016/j.bja.2025.05.058 · Cited by 3
Némethy, Z., Kiss, B., Lethbridge, N. L., Chazot, P. L., Hajnik, T., Tóth, A., Détári, L., Schmidt, E. M., Czurkó, A., Kostyalik, D., et al. (2021) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2021.174621 · Cited by 3
Kostyalik, D., Kelemen, K., Lendvai, B., Hernádi, I., Román, V., & Lévay, G. (2022) · Scientific Reports · doi:10.1038/s41598-022-12146-z · Cited by 3
Flintoff, J. M., Alexander, S., Kesby, J. P., & Burne, T. H. J. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1303728 · Cited by 3
Reinforcer value moderates the effects of prenatal alcohol exposure on learning and reversal
Chandrasekaran, J., Jacquez, B. J., Wilson, J. K., & Brigman, J. L. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1147536 · Cited by 3
Controlling Away the Phenomenon: Maze Research and the Nature of Learning
Arnet, E. (2024) · Archimedes · doi:10.1007/978-3-031-52954-2_10 · Cited by 3
Neural correlates of visual object recognition in rats
Rhee, J. Y., Echavarría, C., Soucy, E. R., Greenwood, J. S. F., Masis, J. A., & Cox, D. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115461 · Cited by 3
Matching-to-Sample Task Training of a Killer Whale (Orcinus orca)
Santa, A., Kanda, K., Kako, T., Miyajima, M., & Adachi, I. (2024) · Animals · doi:10.3390/ani14060821 · Cited by 2
Translatable Models of Brain and Cognitive Reserve
Zeleznikow-Johnston, A., Burrows, E. L., Renoir, T., & Hannan, A. J. (2023) · Contemporary clinical neuroscience · doi:10.1007/978-3-031-24930-3_4 · Cited by 2
Assessing cognitive flexibility in mice using a custom-built touchscreen chamber
Pais, R. C., Goldani, A., Hutchison, J., Mazrouei, A., Khavaninzadeh, M., Molina, L. A., Sutherland, R. J., & Mohajerani, M. H. (2025) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2025.1536458 · Cited by 3
Li, S., Li, H., & Takahata, T. (2022) · Neuroreport · doi:10.1097/wnr.0000000000001815 · Cited by 2
Training protocol for touchscreen-based visual discrimination in mice
Goto, K., & Hataji, Y. (2020) · Japanese Journal of Animal Psychology · doi:10.2502/janip.70.1.2 · Cited by 2
Optimizing touchscreen measures of rodent cognition by eliminating image biasPreprint
Belarde, J. A., Chen, C. W., Rafikian, E. E., Yang, M., & Troy, C. M. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.05.438342 · Cited by 2
Gao, J., Yamanashi, Y., & Tanaka, M. (2025) · Animals · doi:10.3390/ani15142115 · Cited by 1
A simple method that doubles learning speed for mice in touchscreen-based visual discrimination
Kiyama, Y., Suzuki, Y., Haraguchi, M., Oe, Y., Daitoku, Y., Higa, N., Irie, Y., Suzuki, T., Imayoshi, I., Kakeyama, M., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-27003-y · Cited by 1
Ghanekar, S., Raj, J. A. T., Thiruselvan, G. K., Kulkarni, R., Soni, M., Chatterjee, A., Patro, I., & Goda, J. S. (2026) · Annals of Neurosciences · doi:10.1177/09727531261452006 · Cited by 1
Determining Attention Deficits In Mouse Models Of Alzheimer’s Disease Using Touchscreen Systems
Masood, T. S. (2015) · Scholarship@Western (Western University) · Cited by 1
Fellini, L. (2012) · Cited by 1
Visiomode: An open-source platform for building rodent touchscreen-based behavioral assays
Eleftheriou, C., Clarke, T. R., Poon, V., Zechner, M., & Duguid, I. (2023) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2022.109779 · Cited by 1
Dunn, B. R., Olguin, S. L., Davies, S., Pavlik, N. G., Brigman, J. L., Hamilton, D. A., Savage, D. D., & Maxwell, J. R. (2024) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.15276 · Cited by 1
Translatable Models of Brain and Cognitive Reserve
Zeleznikow-Johnston, A., Burrows, E. L., Renoir, T., & Hannan, A. J. (2017) · Contemporary clinical neuroscience · doi:10.1007/978-3-319-52067-4_4 · Cited by 1
Employing Optogenetics in Memory Research
Regev, L., & Goshen, I. (2017) · Neuromethods · doi:10.1007/978-1-4939-7417-7_12 · Cited by 1
Component-Based Software Testing Method Based on Deep Adversarial Network
Fu, W., & Wang, L. (2022) · Security and Communication Networks · doi:10.1155/2022/4231083 · Cited by 1
RetractedMa, X., Bracciano, B., Hoppas, N., Zimmerman, S., & Pickens, C. L. (2022) · Learning and Motivation · doi:10.1016/j.lmot.2022.101867 · Cited by 1
Touchscreen Assessment of Motivation and Reinforcement-Related Choice Behaviour in Mice
Phillips, B. U. (2017) · Apollo (University of Cambridge) · doi:10.17863/cam.24393 · Cited by 1
Computerized Testing Paradigm in Primates
Love, M. W., & Washburn, D. A. (2022) · Springer eBooks · doi:10.1007/978-3-319-55065-7_1585 · Cited by 1
Behavioral dataset for Long-Evans and its schizophrenia-like substrain through several generations
Kőrösi, G., Czimbalmos, O., Kékesi, G., & Horváth, G. (2026) · Scientific Data · doi:10.1038/s41597-026-06735-0 · Cited by 1
Hager, A. M. (2015) · QSpace (Queen's University Library)
The 5 Choice Continuous Performance Task: Translation to a Touch-screen Paradigm
van Dorsselaer, P., Mcinnes, E. H., Talpos, J. C., & Steckler, T. (2012)
O’Leary, J. D. (2012) · UC Research Repository (University of Canterbury) · doi:10.26021/6939
Cognitive and Non-Cognitive Dysfunction in a Mouse Model of Alzheimer's Disease
Lee, W.-J. (2017) · Scholarship@Western (Western University)
Assessing Cognition In A Mouse Model Of Alzheimer’s Disease
Mels, J. (2018) · Scholarship@Western (Western University)
Townsend, L. (2017) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/1g4n-6f83
Motivation – Behavioral Approaches and Translational Potential
López‐Cruz, L., & Heath, C. J. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.23956-4
Serial position learning in a modified Hill maze by a rat (Rattus norvegicus)
Taniuchi, T., 石坂, 憲., KIMURA, M., & UENO, R. (2012) · Japanese Journal of Animal Psychology · doi:10.2502/janip.62.1.3
Robbins, T. W. (2013) · Springer eBooks · doi:10.1007/978-3-642-27772-6_351-2
Robbins, T. W. (2015) · Springer eBooks · doi:10.1007/978-3-642-36172-2_351
Robbins, T. W. (2010) · Springer eBooks · doi:10.1007/978-3-540-68706-1_351
Computerized Testing Paradigm in Primates
Love, M. W., & Washburn, D. A. (2018) · Springer eBooks · doi:10.1007/978-3-319-47829-6_1585-1
Training protocol for touchscreen-based visual discrimination in micePreprint
Goto, K., & Hataji, Y. (2020) · doi:10.31234/osf.io/whkg5
Highgate, Q. (2022) · Open Access Victoria University of Wellington | Te Herenga Waka (Figshare) · doi:10.26686/wgtn.21607191
Huang, K., Milton, L. K., Dempsey, H., Power, S. J., Conn, K., Andrews, Z. B., & Foldi, C. J. (2023) · eLife · doi:10.7554/elife.84961.sa2
Impact of anxiety profiles in trait anxiety on visual discrimination performance in Wistar rats
Guo, Y., Li, X., Gao, K., & Sun, X. (2024) · Neuroscience Letters · doi:10.1016/j.neulet.2024.137920
WITHDRAWNPreprint
Goto, K. (2024) · doi:10.31234/osf.io/tyv63
SYSTEM XC- AS A MOLECULAR MECHANISM FOR EVOLUTIONARY NEW FORMS OF ADVANCED COGNITIONPreprint
Simandl, G. J., Twining, R. C., Raddatz, N. J., Berentson, G., Peck, S., Wheeler, R., Savtchouk, I., Choi, S., & Baker, D. L. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.03.17.643792
Mithaiwala, M. N., Dugan, A. M., de la Flor, M. A., Subramanian, S. K., Acheson, A., & O’Connor, J. C. (2025) · Psychiatry International · doi:10.3390/psychiatryint6030087
Bergeron, S. (2018) · theses.fr (ABES) · doi:10.70675/36a54739zd120z440bzac6aze1ff3180f9f1
Lipatova, O., Campolattaro, M. M., Harlan, E. W., Gopal, S., & Rasmussen, B. B. (2026) · Neuroscience Insights · doi:10.1177/26331055261446788
Zanini, A., Saini, J., Yang, J., Dureux, A., Gacoin, M., Dollet, C., Johnston, K., Luo, W., Shlaifer, I., Durcan, T. M., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.11.731687
Self-citationSpoelder, M., van Donkelaar, I., Wolf, C. J. H., Bright, Y., Docq, S., Middelman, A., & Homberg, J. R. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.07.02.736000
Cao, J., Kruizinga, L., Hovens, I. B., van der Goot, E., Havekes, R., & van der Zee, E. A. (2026) · Journal of Inherited Metabolic Disease · doi:10.1002/jimd.70229
Ross, A., Logan, C. N., Thompson, J. J., Johnson, S. A., Watson, C., Parra, B., Ramirez, M., Lubke, K. N., Maurer, A. P., & Burke, S. N. (2026) · Oxford Open Neuroscience · doi:10.1093/oons/kvag015
Metadata
- Authors
- Bussey, T. J., Padain, T. L., Skillings, E. A., Winters, B. D., Morton, A. J., & Saksida, L. M.
- Affiliations
- University of Cambridge (GB)
- Venue
- Learning & Memory
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2008-07
- Volume
- 15
- Issue
- 7
- Pages
- 516-523
- ISSN
- 1072-0502 (ISSN-L)
- 1549-5485
- PMC
- PMC2505319
- OpenAlex
- W2052032617
- Cited by
- 255
- References
- 29
- Citations by year
- 2026: 7 · 2025: 12 · 2024: 15 · 2023: 16 · 2022: 18 · 2021: 17 · 2020: 17 · 2019: 15 · 2018: 23 · 2017: 21 · 2016: 14 · 2015: 21 · 2014: 11 · 2013: 14 · 2012: 13
- Type
- posted content
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Learning & Memory (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Keywords
- visual discrimination learning, Lister hooded rats, Sprague-Dawley rats, sex differences in learning, visual cognition
- MeSH terms
- Animals, Cognition, Discrimination Learning, Female, Learning, Male, Psychological Tests, Touch, Visual Perception, Rats, Sprague-Dawley, Models, Animal, Rats
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
