In ‘Against Stored Abstractions,’ Ambridge uses neural and computational evidence to make his case against abstract representations. He argues that storing only exemplars is more parsimonious – why bother with abstraction when exemplar models with on-the-fly calculation can do everything abstracting models can and more – and implies that his view is well supported by neuroscience and computer science. We argue that there is substantial neural, experimental, and computational evidence to the contrary: while both brains and machines can store exemplars, forming categories and storing abstractions is a fundamental part of what they do.
AmbridgeB. (2020). Against stored abstractions: A radical exemplar model of language acquisition. First Language40(5-6): 509–559.
2.
AmodeiD.AnanthanarayananS.AnubhaiR.BaiJ.BattenbergE.CaseC.CasperJ.CatanzaroB.ChengQ.ChenG.ChenJ.ChenJ.ChenZ.ChrzanowskiM.CoatesA.DiamosG.DingK.DuN.ElsenE.. . . ZhuZ. (2016). Deep speech 2: End-to-end speech recognition in English and Mandarin. In LawrenceN.ReidM. (Eds.). International Conference on Machine Learning (pp. 173–182). International Machine Learning Society.
3.
CaplanS.HafriA.TrueswellJ. (2019, July24–27). Speech processing does not involve acoustic maintenance. Paper presented at the 41st Annual Meeting of the Cognitive Science Society, Montreal, Canada.
4.
DevlinJ.ChangM.-W.LeeK.ToutanovaK. (2018). BERT: Pre-training of deep bidirectional transformers for language understanding. arXiv [cs.CL]. arXiv. http://arxiv.org/abs/1810.04805
5.
FreedmanD. J.RiesenhuberM.PoggioT.MillerE. K. (2003). A comparison of primate prefrontal and inferior temporal cortices during visual categorization. The Journal of Neuroscience, 23(12), 5235–5246.
6.
HampsonR. E.PonsT. P.StanfordT. R.DeadwylerS. A. (2004). Categorization in the monkey hippocampus: A possible mechanism for encoding information into memory. Proceedings of the National Academy of Sciences of the United States of America, 101(9), 3184–3189.
7.
JesseA.McQueenJ. M. (2011). Positional effects in the lexical retuning of speech perception. Psychonomic Bulletin & Review, 18(5), 943–950.
8.
JiangX.BradleyE.RiniR. A.ZeffiroT.VanmeterJ.RiesenhuberM. (2007). Categorization training results in shape- and category-selective human neural plasticity. Neuron, 53(6), 891–903.
9.
KraljicT.SamuelA. G. (2007). Perceptual adjustments to multiple speakers. Journal of Memory and Language, 56(1), 1–15.
10.
KreimanG.KochC.FriedI. (2000). Category-specific visual responses of single neurons in the human medial temporal lobe. Nature Neuroscience, 3(9), 946–953.
11.
LeQ. V. (2013, May26–31). Building high-level features using large scale unsupervised learning. Paper presented at the 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, Vancouver, Canada.
12.
MackM. L.PrestonA. R.LoveB. C. (2013). Decoding the brain’s algorithm for categorization from its neural implementation. Current Biology, 23(20), 2023–2027.
13.
MedinD. L.WattenmakerW. D.HampsonS. E. (1987). Family resemblance, conceptual cohesiveness, and category construction. Cognitive Psychology, 19(2), 242–279.
14.
MeyersE. M.FreedmanD. J.KreimanG.MillerE. K.PoggioT. (2008). Dynamic population coding of category information in inferior temporal and prefrontal cortex. Journal of Neurophysiology, 100(3), 1407–1419.
15.
MikolovT.ChenK.CorradoG.DeanJ. (2013). Efficient estimation of word representations in vector space. arXiv [cs.CL]. arXiv. http://arxiv.org/abs/1301.3781
16.
MillerE. K.BuschmanT. J. (2007). Rules through recursion: How interactions between the frontal cortex and basal ganglia may build abstract, complex rules from concrete, simple ones. In Neuroscience of rule-guided behavior (pp. 419–440). https://doi.org/10.1093/acprof:oso/9780195314274.003.0022
17.
O’ReillyR. C.MunakataY. (2000). Computational explorations in cognitive neuroscience: Understanding the mind by simulating the brain. The MIT Press.
18.
RaynerK. (2009). Eye movements and attention in reading, scene perception, and visual search. The Quarterly Journal of Experimental Psychology, 62(8), 1457–1506.
19.
RehderB.HoffmanA. B. (2005). Eyetracking and selective attention in category learning. Cognitive Psychology, 51(1), 1–41.
20.
SegerC. A.MillerE. K. (2010). Category learning in the brain. Annual Review of Neuroscience, 33, 203–219.
21.
ShepardR. N.HovlandC. I.JenkinsH. M. (1961). Learning and memorization of classifications. Psychological Monographs: General and Applied, 75(13), 1–42.
