Pentti Kanerva (born 1937[1]) is a Finnish-born American neuroscientist and the originator of the sparse distributed memory model.[2] He is responsible for relating the properties of long-term memory to mathematical properties of high-dimensional spaces and compares artificial neural-net associative memory to conventional computer random-access memory and to the neurons in the brain.[3] This theory has been applied to design and implement the random indexing approach to learning semantic relations from linguistic data.[4][5][6][7] Kanerva was also the first to use a computer clipboard to preserve deleted texts. The operation would later come to be known as cut, copy, and paste.[8]
^Kanerva, Pentti. Sparse distributed memory. MIT press, 1988.
^"Scientific Staff". Redwood Neuroscience Institute. Archived from the original on 14 October 2002. Retrieved 11 November 2011.
^Kanerva, Pentti, Kristoferson, Jan and Holst, Anders (2000): Random Indexing of Text Samples for Latent Semantic Analysis, Proceedings of the 22nd Annual Conference of the Cognitive Science Society, p. 1036. Mahwah, New Jersey: Erlbaum, 2000.
^Sahlgren, Magnus, Holst, Anders and Pentti Kanerva (2008) Permutations as a Means to Encode Order in Word Space, In Proceedings of the 30th Annual Conference of the Cognitive Science Society: 1300-1305.
^Kanerva, Pentti (2009): Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors. Cognitive Computation, Volume 1, Issue 2, pp. 139–159.
^Joshi, Aditya, Johan Halseth, and Pentti Kanerva. "Language Recognition using Random Indexing." arXiv preprint arXiv:1412.7026 (2014).