A cerebellar-model associative memory as a generalized random-access memory. - Pentti Kanerva (COMPCON, 1989)

Contour-Map Encoding of Shape for Early Vision. - Pentti Kanerva (NIPS, 1989)

Binary Spatter-Coding of Ordered K-Tuples. - Pentti Kanerva (ICANN, 1996)

Large Patterns Make Great Symbols: An Example of Learning from Example. - Pentti Kanerva (Hybrid Neural Systems, 1998)

Artificial Minds, Stan Franklin, MIT Press, Cambridge, MA, 1995, xi+449 pp., ISBN 0-262-06178-3 (HB), 0-262-56109-3 (PB). - Pentti Kanerva (Cogn. Syst. Res., 1999)

The 2002 AAAI Spring Symposium Series. - Jussi Karlgren; Pentti Kanerva; Björn Gambäck; Kenneth D. Forbus; Kagan Tumer; Peter Stone 001; Kai Goebel; Gaurav S. Sukhatme; Tucker R. Balch; Bernd Fischer 002; Doug Smith; Sanda M. Harabagiu; et al. (AI Mag., 2002)

Reports on the 2004 AAAI Fall Symposia. - Nicholas L. Cassimatis; Sean Luke; Simon D. Levy; Ross W. Gayler; Pentti Kanerva; Chris Eliasmith; Timothy W. Bickmore; Alan C. Schultz; Randall Davis; James A. Landay; Robert C. Miller; Eric Saund; et al. (AI Mag., 2005)

Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors. - Pentti Kanerva (Cogn. Comput., 2009)

What We Mean When We Say "What's the Dollar of Mexico?": Prototypes and Mapping in Concept Space. - Pentti Kanerva (AAAI Fall Symposium: Quantum Informatics for Cognitive, Social, and Semantic Processes, 2010)

Finding Semantic Equivalence of Text Using Random Index Vectors. - Rosemary D. Paradis; Jinhong K. Guo; Jack Moulton; David Cameron; Pentti Kanerva (Complex Adaptive Systems, 2013)

Computing with 10, 000-bit words. - Pentti Kanerva (Allerton, 2014)

Language Recognition using Random Indexing. - Aditya Joshi; Johan T. Halseth; Pentti Kanerva (CoRR, 2014)

Large-Scale Memristive Associative Memories. - Eero Lehtonen; Jussi H. Poikonen; Mika Laiho; Pentti Kanerva (IEEE Trans. Very Large Scale Integr. Syst., 2014)

High-dimensional computing with sparse vectors. - Mika Laiho; Jussi H. Poikonen; Pentti Kanerva; Eero Lehtonen (BioCAS, 2015)

A 512×512-cell associative CAM/Willshaw memory with vector arithmetic. - Mika Laiho; Jonne K. Poikonen; Eero Lehtonen; Mikko Pänkäälä; Jussi H. Poikonen; Pentti Kanerva (ISCAS, 2015)

Encoding Sequential Information in Semantic Space Models: Comparing Holographic Reduced Representation and Random Permutation. - Gabriel Recchia; Magnus Sahlgren; Pentti Kanerva; Michael N. Jones (Comput. Intell. Neurosci., 2015)

Hyperdimensional biosignal processing: A case study for EMG-based hand gesture recognition. - Abbas Rahimi; Simone Benatti; Pentti Kanerva; Luca Benini; Jan M. Rabaey (ICRC, 2016)

Associative memory with occurrence statistics. - Mika Laiho; Eero Lehtonen; Jussi H. Poikonen; Pentti Kanerva (ISCAS, 2016)

A Robust and Energy-Efficient Classifier Using Brain-Inspired Hyperdimensional Computing. - Abbas Rahimi; Pentti Kanerva; Jan M. Rabaey (ISLPED, 2016)

Language Geometry Using Random Indexing. - Aditya Joshi; Johan T. Halseth; Pentti Kanerva (QI, 2016)

Human-centric computing - The case for a Hyper-Dimensional approach. - Jan M. Rabaey; Abbas Rahimi; Sohum Datta; Miles Rusch; Pentti Kanerva; Bruno A. Olshausen (IWASI, 2017)

High-Dimensional Computing as a Nanoscalable Paradigm. - Abbas Rahimi; Sohum Datta; Denis Kleyko; Edward Paxon Frady; Bruno A. Olshausen; Pentti Kanerva; Jan M. Rabaey (IEEE Trans. Circuits Syst. I Regul. Pap., 2017)

Authorship Profiling Without Using Topical Information: Notebook for PAN at CLEF 2018. - Jussi Karlgren; Lewis Esposito; Chantal Gratton; Pentti Kanerva (CLEF (Working Notes), 2018)

Hyperdimensional utterance spaces. - Jussi Karlgren; Pentti Kanerva (DESIRES, 2018)

Computing with High-Dimensional Vectors. - Pentti Kanerva (IEEE Des. Test, 2019)

High-dimensional distributed semantic spaces for utterances. - Jussi Karlgren; Pentti Kanerva (Nat. Lang. Eng., 2019)

Efficient Biosignal Processing Using Hyperdimensional Computing: Network Templates for Combined Learning and Classification of ExG Signals. - Abbas Rahimi; Pentti Kanerva; Luca Benini; Jan M. Rabaey (Proc. IEEE, 2019)

Hyperdimensional Computing for Blind and One-Shot Classification of EEG Error-Related Potentials. - Abbas Rahimi; Artiom Tchouprina; Pentti Kanerva; José del R. Millán; Jan M. Rabaey (Mob. Networks Appl., 2020)

Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware. - Denis Kleyko; Mike Davies 002; Edward Paxon Frady; Pentti Kanerva; Spencer J. Kent; Bruno A. Olshausen; Evgeny Osipov; Jan M. Rabaey; Dmitri A. Rachkovskij; Abbas Rahimi; Friedrich T. Sommer (CoRR, 2021)

Semantics in High-Dimensional Space. - Jussi Karlgren; Pentti Kanerva (Frontiers Artif. Intell., 2021)

Computing with Hypervectors for Efficient Speaker Identification. - Ping-Chen Huang; Denis Kleyko; Jan M. Rabaey; Bruno A. Olshausen; Pentti Kanerva (CoRR, 2022)

Vector Symbolic Architectures as a Computing Framework for Emerging Hardware. - Denis Kleyko; Mike Davies 002; Edward Paxon Frady; Pentti Kanerva; Spencer J. Kent; Bruno A. Olshausen; Evgeny Osipov; Jan M. Rabaey; Dmitri A. Rachkovskij; Abbas Rahimi; Friedrich T. Sommer (Proc. IEEE, 2022)

Learning and generalization of compositional representations of visual scenes. - Edward Paxon Frady; Spencer J. Kent; Quinn Tran; Pentti Kanerva; Bruno A. Olshausen; Friedrich T. Sommer (CoRR, 2023)

Special Session: Neuro-Symbolic Architecture Meets Large Language Models: A Memory-Centric Perspective. - Mohamed Ibrahim 002; Zishen Wan; Haitong Li; Priyadarshini Panda; Tushar Krishna; Pentti Kanerva; Yiran Chen 001; Arijit Raychowdhury (CODES+ISSS, 2024)

Computing With Residue Numbers in High-Dimensional Representation. - Christopher J. Kymn; Denis Kleyko; Edward Paxon Frady; Connor Bybee; Pentti Kanerva; Friedrich T. Sommer; Bruno A. Olshausen (Neural Comput., 2024)

Autonomous Learning with High-Dimensional Computing Architecture Similar to von Neumann's. - Pentti Kanerva (CoRR, 2025)