Theorie neuronaler Assoziativspeicher: lokales Lernen und iteratives Retrieval von Information. - Friedrich T. Sommer (Hänsel-Hohenhausen, 1994)

Iterative retrieval of sparsely coded associative memory patterns. - Friedhelm Schwenker; Friedrich T. Sommer; Günther Palm (Neural Networks, 1996)

Bidirectional Retrieval from Associative Memory. - Friedrich T. Sommer; Günther Palm (NIPS, 1997)

Bayesian retrieval in associative memories with storage errors. - Friedrich T. Sommer; Peter Dayan (IEEE Trans. Neural Networks, 1998)

Gamma-oscillations support optimal retrieval in associative memories of two-compartment neurons. - Thomas Wennekers; Friedrich T. Sommer (Neurocomputing, 1999)

Improved bidirectional retrieval of sparse patterns stored by Hebbian learning. - Friedrich T. Sommer; Günther Palm (Neural Networks, 1999)

On cell assemblies in a cortical column. - Friedrich T. Sommer (Neurocomputing, 2000)

Associative memory in a pair of cortical cell groups with reciprocal projections. - Friedrich T. Sommer; Thomas Wennekers (Neurocomputing, 2001)

Coexistence of short and long term memory in a model network of realistic neurons. - Urs Vollmer; Friedrich T. Sommer (Neurocomputing, 2001)

Associative memory in networks of spiking neurons. - Friedrich T. Sommer; Thomas Wennekers (Neural Networks, 2001)

Dynamische Clusteranalyse von [11C]-PK11195 PET-Daten des Gehirns. - Axel Baune; Gerhard Glatting; Jochen Karitzky; Friedrich T. Sommer (Bildverarbeitung für die Medizin, 2002)

Is voltage-dependent synaptic transmission in NMDA receptors a robust mechanism for working memory? - Andreas Knoblauch; Thomas Wennekers; Friedrich T. Sommer (Neurocomputing, 2002)

Synaptic plasticity, conduction delays, and inter-areal phase relations of spike activity in a model of reciprocally connected areas. - Andreas Knoblauch; Friedrich T. Sommer (Neurocomputing, 2003)

The impact of thalamo-cortical projections on activity spread in cortex. - Volker Schmitt; Rolf Kötter; Friedrich T. Sommer (Neurocomputing, 2003)

Models of distributed associative memory networks in the brain. - Friedrich T. Sommer; Thomas Wennekers (Theory Biosci., 2003)

Editorial: Cell assemblies. - Thomas Wennekers; Friedrich T. Sommer; Ad Aertsen (Theory Biosci., 2003)

Spike-timing-dependent synaptic plasticity can form "zero lag links" for cortical oscillations. - Andreas Knoblauch; Friedrich T. Sommer (Neurocomputing, 2004)

Computing with inter-spike interval codes in networks of integrate and fire neurons. - Dileep George; Friedrich T. Sommer (Neurocomputing, 2005)

Synfire chains with conductance-based neurons: internal timing and coordination with timed input. - Friedrich T. Sommer; Thomas Wennekers (Neurocomputing, 2005)

Storing and restoring visual input with collaborative rank coding and associative memory. - Martin Rehn; Friedrich T. Sommer (Neurocomputing, 2006)

A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields. - Martin Rehn; Friedrich T. Sommer (J. Comput. Neurosci., 2007)

Learning sparse generative models of audiovisual signals. - Gianluca Monaci; Friedrich T. Sommer; Pierre Vandergheynst (EUSIPCO, 2008)

Information transmission in oscillatory neural activity. - Kilian Koepsell; Friedrich T. Sommer (Biol. Cybern., 2008)

Data Sharing for Computational Neuroscience. - Jeffrey L. Teeters; Kenneth D. Harris; K. Jarrod Millman; Bruno A. Olshausen; Friedrich T. Sommer (Neuroinformatics, 2008)

Learning Bimodal Structure in Audio-Visual Data. - Gianluca Monaci; Pierre Vandergheynst; Friedrich T. Sommer (IEEE Trans. Neural Networks, 2009)

Adaptive compressed sensing - A new class of self-organizing coding models for neuroscience. - William K. Coulter; Christopher J. Hillar; Guy Isley; Friedrich T. Sommer (ICASSP, 2010)

Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication. - Guy Isley; Christopher J. Hillar; Friedrich T. Sommer (NIPS, 2010)

Memory Capacities for Synaptic and Structural Plasticity. - Andreas Knoblauch; Günther Palm; Friedrich T. Sommer (Neural Comput., 2010)

Learning in embodied action-perception loops through exploration - Daniel Y. Little; Friedrich T. Sommer (CoRR, 2011)

When Can Dictionary Learning Uniquely Recover Sparse Data From Subsamples? - Christopher J. Hillar; Friedrich T. Sommer (IEEE Trans. Inf. Theory, 2015)

On degeneracy control in overcomplete ICA. - Jesse A. Livezey; Alejandro F. Bujan; Friedrich T. Sommer (CoRR, 2016)

Requirements for storing electrophysiology data. - Friedrich T. Sommer; Thomas Wachtler; Jeffrey L. Teeters; Jan Benda; Andrew P. Davison; Stephen J. Eglen; Richard C. Gerkin; Jeffrey S. Grethe; Jan Grewe; Kenneth D. Harris; Christian Johannes Kellner; Yann Le Franc; et al. (CoRR, 2016)

Sparse coding of ECoG signals identifies interpretable components for speech control in human sensorimotor cortex. - Kristofer E. Bouchard; Alejandro F. Bujan; Edward F. Chang; Friedrich T. Sommer (EMBC, 2017)

Theory of the superposition principle for randomized connectionist representations in neural networks. - Edward Paxon Frady; Denis Kleyko; Friedrich T. Sommer (CoRR, 2017)

International Neuroscience Initiatives through the Lens of High-Performance Computing. - Kristofer E. Bouchard; James B. Aimone; Miyoung Chun; Thomas Dean; Michael Denker; Markus Diesmann; David Donofrio; Loren M. Frank; Narayanan Kasthuri; Christof Koch; Oliver Rübel; Horst D. Simon; et al. (Computer, 2018)

A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks. - Edward Paxon Frady; Denis Kleyko; Friedrich T. Sommer (Neural Comput., 2018)

Robust computation with rhythmic spike patterns. - Edward Paxon Frady; Friedrich T. Sommer (CoRR, 2019)

Resonator Circuits for factoring high-dimensional vectors. - Spencer J. Kent; Edward Paxon Frady; Friedrich T. Sommer; Bruno A. Olshausen (CoRR, 2019)

Annealed Denoising Score Matching: Learning Energy-Based Models in High-Dimensional Spaces. - Zengyi Li; Yubei Chen; Friedrich T. Sommer (CoRR, 2019)

Learning Overcomplete, Low Coherence Dictionaries with Linear Inference. - Jesse A. Livezey; Alejandro F. Bujan; Friedrich T. Sommer (J. Mach. Learn. Res., 2019)

Information integration in large brain networks. - Daniel Toker; Friedrich T. Sommer (PLoS Comput. Biol., 2019)

Neuromorphic Nearest Neighbor Search Using Intel's Pohoiki Springs. - Edward Paxon Frady; Garrick Orchard; David Florey; Nabil Imam; Ruokun Liu; Joyesh Mishra; Jonathan Tse; Andreas Wild; Friedrich T. Sommer; Mike Davies 002 (NICE, 2020)

Complex Amplitude-Phase Boltzmann Machines. - Zengyi Li; Friedrich T. Sommer (CoRR, 2020)

A Model for Image Segmentation in Retina. - Christopher Warner; Friedrich T. Sommer (CoRR, 2020)

Resonator networks for factoring distributed representations of data structures. - Edward Paxon Frady; Spencer J. Kent; Bruno A. Olshausen; Friedrich T. Sommer (CoRR, 2020)

Perceptron Theory for Predicting the Accuracy of Neural Networks. - Denis Kleyko; Antonello Rosato; Edward Paxon Frady; Massimo Panella; Friedrich T. Sommer (CoRR, 2020)

NWB Query Engines: Tools to Search Data Stored in Neurodata Without Borders Format. - Petr Jezek; Jeffrey L. Teeters; Friedrich T. Sommer (Frontiers Neuroinformatics, 2020)

Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures. - Edward Paxon Frady; Spencer J. Kent; Bruno A. Olshausen; Friedrich T. Sommer (Neural Comput., 2020)

Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods. - Spencer J. Kent; Edward Paxon Frady; Friedrich T. Sommer; Bruno A. Olshausen (Neural Comput., 2020)

Efficient Neuromorphic Signal Processing with Loihi 2. - Garrick Orchard; Edward Paxon Frady; Daniel Ben Dayan Rubin; Sophia Sanborn; Sumit Bam Shrestha; Friedrich T. Sommer; Mike Davies 002 (SiPS, 2021)

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)

Computing on Functions Using Randomized Vector Representations. - Edward Paxon Frady; Denis Kleyko; Christopher J. Kymn; Bruno A. Olshausen; Friedrich T. Sommer (CoRR, 2021)

A Neural Network MCMC Sampler That Maximizes Proposal Entropy. - Zengyi Li; Yubei Chen; Friedrich T. Sommer (Entropy, 2021)

Sparse Vector Binding on Spiking Neuromorphic Hardware Using Synaptic Delays. - Alpha Renner; Yulia Sandamirskaya; Friedrich T. Sommer; Edward Paxon Frady (ICONS, 2022)

Optimal Oscillator Memory Networks. - Connor Bybee; Friedrich T. Sommer (NICE, 2022)

Computing on Functions Using Randomized Vector Representations (in brief). - Edward Paxon Frady; Denis Kleyko; Christopher J. Kymn; Bruno A. Olshausen; Friedrich T. Sommer (NICE, 2022)

Integer Factorization with Compositional Distributed Representations. - Denis Kleyko; Connor Bybee; Christopher J. Kymn; Bruno A. Olshausen; Amir Khosrowshahi; Dmitri E. Nikonov; Friedrich T. Sommer; Edward Paxon Frady (NICE, 2022)

Neural Manifold Clustering and Embedding. - Zengyi Li; Yubei Chen; Yann LeCun; Friedrich T. Sommer (CoRR, 2022)

A probabilistic latent variable model for detecting structure in binary data. - Christopher Warner; Kiersten Ruda; Friedrich T. Sommer (CoRR, 2022)

Deep Learning in Spiking Phasor Neural Networks. - Connor Bybee; Edward Paxon Frady; Friedrich T. Sommer (CoRR, 2022)

Cross-Frequency Coupling Increases Memory Capacity in Oscillatory Neural Networks. - Connor Bybee; Alexander Belsten; Friedrich T. Sommer (CoRR, 2022)

Neuromorphic Visual Odometry with Resonator Networks. - Alpha Renner; Lazar Supic; Andreea Danielescu 001; Giacomo Indiveri; Edward Paxon Frady; Friedrich T. Sommer; Yulia Sandamirskaya (CoRR, 2022)

Efficient Optimization with Higher-Order Ising Machines. - Connor Bybee; Denis Kleyko; Dmitri E. Nikonov; Amir Khosrowshahi; Bruno A. Olshausen; Friedrich T. Sommer (CoRR, 2022)

Is Neuroscience FAIR? A Call for Collaborative Standardisation of Neuroscience Data. - Jean-Baptiste Poline; David N. Kennedy; Friedrich T. Sommer; Giorgio A. Ascoli; David C. Van Essen; Adam R. Ferguson; Jeffrey S. Grethe; Michael Hawrylycz; Paul M. Thompson; Russell A. Poldrack; Satrajit S. Ghosh; David B. Keator; et al. (Neuroinformatics, 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)

Cellular Automata Can Reduce Memory Requirements of Collective-State Computing. - Denis Kleyko; Edward Paxon Frady; Friedrich T. Sommer (IEEE Trans. Neural Networks Learn. Syst., 2022)

Efficient Neuromorphic Signal Processing with Resonator Neurons. - Edward Paxon Frady; Sophia Sanborn; Sumit Bam Shrestha; Daniel Ben Dayan Rubin; Garrick Orchard; Friedrich T. Sommer; Mike Davies 002 (J. Signal Process. Syst., 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)

Variable Binding for Sparse Distributed Representations: Theory and Applications. - Edward Paxon Frady; Denis Kleyko; Friedrich T. Sommer (IEEE Trans. Neural Networks Learn. Syst., 2023)

Efficient Decoding of Compositional Structure in Holistic Representations. - Denis Kleyko; Connor Bybee; Ping-Chen Huang; Christopher J. Kymn; Bruno A. Olshausen; Edward Paxon Frady; Friedrich T. Sommer (Neural Comput., 2023)

Learning Energy-Based Models in High-Dimensional Spaces with Multiscale Denoising-Score Matching. - Zengyi Li; Yubei Chen; Friedrich T. Sommer (Entropy, 2023)

Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps. - Christopher J. Kymn; Sonia Mazelet; Anthony Thomas; Denis Kleyko; Edward Paxon Frady; Friedrich T. Sommer; Bruno A. Olshausen (CoRR, 2024)

Visual odometry with neuromorphic resonator networks. - Alpha Renner; Lazar Supic; Andreea Danielescu 001; Giacomo Indiveri; Edward Paxon Frady; Friedrich T. Sommer; Yulia Sandamirskaya (Nat. Mac. Intell., 2024)

Neuromorphic visual scene understanding with resonator networks. - Alpha Renner; Lazar Supic; Andreea Danielescu 001; Giacomo Indiveri; Bruno A. Olshausen; Yulia Sandamirskaya; Friedrich T. Sommer; Edward Paxon Frady (Nat. Mac. Intell., 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)

Perceptron Theory Can Predict the Accuracy of Neural Networks. - Denis Kleyko; Antonello Rosato; Edward Paxon Frady; Massimo Panella; Friedrich T. Sommer (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Grid Cell-Inspired Structured Vector Algebra for Cognitive Maps. - Sven Krausse; Emre Neftci; Friedrich T. Sommer; Alpha Renner (NICE, 2025)

High-resolution spatial memory requires grid-cell-like neural codes. - Madison Cotteret; Christopher J. Kymn; Hugh Greatorex; Martin Ziegler 006; Elisabetta Chicca; Friedrich T. Sommer (CoRR, 2025)

Learning controllable dynamics through informative exploration. - Peter N. Loxley; Friedrich T. Sommer (CoRR, 2025)