Friedrich T. Sommer

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 55

Top Venues

CoRR

Neural Comput.

NICE

IEEE Trans. Neural Networks Learn. Syst.

University of Düsseldorf, Germany (PHD)

Education History

University of Düsseldorf, Germany

PHD

Publications

Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Bruno A. Olshausen, Yulia Sandamirskaya, Friedrich T. Sommer, Edward Paxon Frady
Neuromorphic visual scene understanding with resonator networks. Nat. Mac. Intell. 6 (6) (2024)
Denis Kleyko, Antonello Rosato, Edward Paxon Frady, Massimo Panella, Friedrich T. Sommer
Perceptron Theory Can Predict the Accuracy of Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Christopher J. Kymn, Sonia Mazelet, Anthony Thomas, Denis Kleyko, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen
Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps. CoRR (2024)
Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Edward Paxon Frady, Friedrich T. Sommer, Yulia Sandamirskaya
Visual odometry with neuromorphic resonator networks. Nat. Mac. Intell. 6 (6) (2024)
Denis Kleyko, Connor Bybee, Ping-Chen Huang, Christopher J. Kymn, Bruno A. Olshausen, Edward Paxon Frady, Friedrich T. Sommer
Efficient Decoding of Compositional Structure in Holistic Representations. Neural Comput. 35 (7) (2023)
Denis Kleyko, Connor Bybee, Ping-Chen Huang, Christopher J. Kymn, Bruno A. Olshausen, Edward Paxon Frady, Friedrich T. Sommer
Efficient Decoding of Compositional Structure in Holistic Representations. CoRR (2023)
Edward Paxon Frady, Spencer J. Kent, Quinn Tran, Pentti Kanerva, Bruno A. Olshausen, Friedrich T. Sommer
Learning and generalization of compositional representations of visual scenes. CoRR (2023)
Zengyi Li, Yubei Chen, Friedrich T. Sommer
Learning Energy-Based Models in High-Dimensional Spaces with Multiscale Denoising-Score Matching. Entropy 25 (10) (2023)
Christopher J. Kymn, Denis Kleyko, Edward Paxon Frady, Connor Bybee, Pentti Kanerva, Friedrich T. Sommer, Bruno A. Olshausen
Computing with Residue Numbers in High-Dimensional Representation. CoRR (2023)
Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer
Variable Binding for Sparse Distributed Representations: Theory and Applications. IEEE Trans. Neural Networks Learn. Syst. 34 (5) (2023)
Alpha Renner, Yulia Sandamirskaya, Friedrich T. Sommer, Edward Paxon Frady
Sparse Vector Binding on Spiking Neuromorphic Hardware Using Synaptic Delays. ICONS (2022)
Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Edward Paxon Frady, Friedrich T. Sommer, Yulia Sandamirskaya
Neuromorphic Visual Odometry with Resonator Networks. CoRR (2022)
Denis Kleyko, Connor Bybee, Christopher J. Kymn, Bruno A. Olshausen, Amir Khosrowshahi, Dmitri E. Nikonov, Friedrich T. Sommer, Edward Paxon Frady
Integer Factorization with Compositional Distributed Representations. CoRR (2022)
Christopher Warner, Kiersten Ruda, Friedrich T. Sommer
A probabilistic latent variable model for detecting structure in binary data. CoRR (2022)
Edward Paxon Frady, Sophia Sanborn, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Garrick Orchard, Friedrich T. Sommer, Mike Davies
Efficient Neuromorphic Signal Processing with Resonator Neurons. J. Signal Process. Syst. 94 (10) (2022)
Denis Kleyko, Edward Paxon Frady, Friedrich T. Sommer
Cellular Automata Can Reduce Memory Requirements of Collective-State Computing. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Connor Bybee, Friedrich T. Sommer
Optimal Oscillator Memory Networks. NICE (2022)
Connor Bybee, Denis Kleyko, Dmitri E. Nikonov, Amir Khosrowshahi, Bruno A. Olshausen, Friedrich T. Sommer
Efficient Optimization with Higher-Order Ising Machines. CoRR (2022)
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, Thomas L. Athey, Joshua T. Vogelstein, Helen S. Mayberg, Maryann E. Martone
Is Neuroscience FAIR? A Call for Collaborative Standardisation of Neuroscience Data. Neuroinformatics 20 (2) (2022)
Edward Paxon Frady, Denis Kleyko, Christopher J. Kymn, Bruno A. Olshausen, Friedrich T. Sommer
Computing on Functions Using Randomized Vector Representations (in brief). NICE (2022)
Denis Kleyko, Connor Bybee, Christopher J. Kymn, Bruno A. Olshausen, Amir Khosrowshahi, Dmitri E. Nikonov, Friedrich T. Sommer, Edward Paxon Frady
Integer Factorization with Compositional Distributed Representations. NICE (2022)
Zengyi Li, Yubei Chen, Yann LeCun, Friedrich T. Sommer
Neural Manifold Clustering and Embedding. CoRR (2022)
Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Bruno A. Olshausen, Yulia Sandamirskaya, Friedrich T. Sommer, Edward Paxon Frady
Neuromorphic Visual Scene Understanding with Resonator Networks. CoRR (2022)
Denis Kleyko, Mike Davies, Edward Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware. Proc. IEEE 110 (10) (2022)
Connor Bybee, Alexander Belsten, Friedrich T. Sommer
Cross-Frequency Coupling Increases Memory Capacity in Oscillatory Neural Networks. CoRR (2022)
Connor Bybee, Edward Paxon Frady, Friedrich T. Sommer
Deep Learning in Spiking Phasor Neural Networks. CoRR (2022)
Denis Kleyko, Mike Davies, Edward Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer
Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware. CoRR (2021)
Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies
Efficient Neuromorphic Signal Processing with Loihi 2. CoRR (2021)
Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies
Efficient Neuromorphic Signal Processing with Loihi 2. SiPS (2021)
Edward Paxon Frady, Denis Kleyko, Christopher J. Kymn, Bruno A. Olshausen, Friedrich T. Sommer
Computing on Functions Using Randomized Vector Representations. CoRR (2021)
Zengyi Li, Yubei Chen, Friedrich T. Sommer
A Neural Network MCMC Sampler That Maximizes Proposal Entropy. Entropy 23 (3) (2021)
Edward Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies
Neuromorphic Nearest-Neighbor Search Using Intel's Pohoiki Springs. CoRR (2020)
Edward Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies
Neuromorphic Nearest Neighbor Search Using Intel's Pohoiki Springs. NICE (2020)
Edward Paxon Frady, Spencer J. Kent, Bruno A. Olshausen, Friedrich T. Sommer
Resonator networks for factoring distributed representations of data structures. CoRR (2020)
Zengyi Li, Yubei Chen, Friedrich T. Sommer
A Neural Network MCMC sampler that maximizes Proposal Entropy. CoRR (2020)
Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer
Variable Binding for Sparse Distributed Representations: Theory and Applications. CoRR (2020)
Zengyi Li, Friedrich T. Sommer
Complex Amplitude-Phase Boltzmann Machines. CoRR (2020)
Denis Kleyko, Antonello Rosato, Edward Paxon Frady, Massimo Panella, Friedrich T. Sommer
Perceptron Theory for Predicting the Accuracy of Neural Networks. CoRR (2020)
Denis Kleyko, Edward Paxon Frady, Friedrich T. Sommer
Cellular Automata Can Reduce Memory Requirements of Collective-State Computing. CoRR (2020)
Petr Jezek, Jeffrey L. Teeters, Friedrich T. Sommer
NWB Query Engines: Tools to Search Data Stored in Neurodata Without Borders Format. Frontiers Neuroinformatics 14 (2020)
Spencer J. Kent, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen
Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods. Neural Comput. 32 (12) (2020)
Edward Paxon Frady, Spencer J. Kent, Bruno A. Olshausen, Friedrich T. Sommer
Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures. Neural Comput. 32 (12) (2020)
Christopher Warner, Friedrich T. Sommer
A Model for Image Segmentation in Retina. CoRR (2020)
Spencer J. Kent, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen
Resonator Circuits for factoring high-dimensional vectors. CoRR (2019)
Zengyi Li, Yubei Chen, Friedrich T. Sommer
Annealed Denoising Score Matching: Learning Energy-Based Models in High-Dimensional Spaces. CoRR (2019)
Jesse A. Livezey, Alejandro F. Bujan, Friedrich T. Sommer
Learning Overcomplete, Low Coherence Dictionaries with Linear Inference. J. Mach. Learn. Res. 20 (2019)
Edward Paxon Frady, Friedrich T. Sommer
Robust computation with rhythmic spike patterns. CoRR (2019)
Daniel Toker, Friedrich T. Sommer
Information integration in large brain networks. PLoS Comput. Biol. 15 (2) (2019)
Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer
A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks. Neural Comput. 30 (6) (2018)
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, Friedrich T. Sommer, Prabhat
International Neuroscience Initiatives through the Lens of High-Performance Computing. Computer 51 (4) (2018)
Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer
A theory of sequence indexing and working memory in recurrent neural networks. CoRR (2018)
Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer
Theory of the superposition principle for randomized connectionist representations in neural networks. CoRR (2017)
Kristofer E. Bouchard, Alejandro F. Bujan, Edward F. Chang, Friedrich T. Sommer
Sparse coding of ECoG signals identifies interpretable components for speech control in human sensorimotor cortex. EMBC (2017)
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, Roman Moucek, Dimiter Prodanov, Robert Pröpper, Hyrum L. Sessions, Leslie Smith, Andrey Sobolev, Adrian Stoewer, Barry Wark
Requirements for storing electrophysiology data. CoRR (2016)
Jesse A. Livezey, Alejandro F. Bujan, Friedrich T. Sommer
On degeneracy control in overcomplete ICA. CoRR (2016)
Christopher J. Hillar, Friedrich T. Sommer
When Can Dictionary Learning Uniquely Recover Sparse Data From Subsamples? IEEE Trans. Inf. Theory 61 (11) (2015)
Daniel Y. Little, Friedrich T. Sommer
Learning in embodied action-perception loops through exploration CoRR (2011)
William K. Coulter, Christopher J. Hillar, Guy Isley, Friedrich T. Sommer
Adaptive compressed sensing - A new class of self-organizing coding models for neuroscience. ICASSP (2010)
Guy Isley, Christopher J. Hillar, Friedrich T. Sommer
Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication. NIPS (2010)
Andreas Knoblauch, Günther Palm, Friedrich T. Sommer
Memory Capacities for Synaptic and Structural Plasticity. Neural Comput. 22 (2) (2010)
Gianluca Monaci, Pierre Vandergheynst, Friedrich T. Sommer
Learning Bimodal Structure in Audio-Visual Data. IEEE Trans. Neural Networks 20 (12) (2009)
Kilian Koepsell, Friedrich T. Sommer
Information transmission in oscillatory neural activity. Biol. Cybern. 99 (4-5) (2008)
Kilian Koepsell, Friedrich T. Sommer
Information transmission in oscillatory neural activity CoRR (2008)
Gianluca Monaci, Friedrich T. Sommer, Pierre Vandergheynst
Learning sparse generative models of audiovisual signals. EUSIPCO (2008)
Jeffrey L. Teeters, Kenneth D. Harris, K. Jarrod Millman, Bruno A. Olshausen, Friedrich T. Sommer
Data Sharing for Computational Neuroscience. Neuroinformatics 6 (1) (2008)
Martin Rehn, Friedrich T. Sommer
A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields. J. Comput. Neurosci. 22 (2) (2007)
Martin Rehn, Friedrich T. Sommer
Storing and restoring visual input with collaborative rank coding and associative memory. Neurocomputing 69 (10-12) (2006)
Friedrich T. Sommer, Thomas Wennekers
Synfire chains with conductance-based neurons: internal timing and coordination with timed input. Neurocomputing (2005)
Dileep George, Friedrich T. Sommer
Computing with inter-spike interval codes in networks of integrate and fire neurons. Neurocomputing (2005)
Andreas Knoblauch, Friedrich T. Sommer
Spike-timing-dependent synaptic plasticity can form "zero lag links" for cortical oscillations. Neurocomputing (2004)
Friedrich T. Sommer, Thomas Wennekers
Models of distributed associative memory networks in the brain. Theory Biosci. 122 (1) (2003)
Volker Schmitt, Rolf Kötter, Friedrich T. Sommer
The impact of thalamo-cortical projections on activity spread in cortex. Neurocomputing (2003)
Thomas Wennekers, Friedrich T. Sommer, Ad Aertsen
Editorial: Cell assemblies. Theory Biosci. 122 (1) (2003)
Andreas Knoblauch, Friedrich T. Sommer
Synaptic plasticity, conduction delays, and inter-areal phase relations of spike activity in a model of reciprocally connected areas. Neurocomputing (2003)
Axel Baune, G. Glatting, J. Karitzky, Friedrich T. Sommer
C]-PK11195 PET-Daten des Gehirns. Bildverarbeitung für die Medizin (2002)
Andreas Knoblauch, Thomas Wennekers, Friedrich T. Sommer
Is voltage-dependent synaptic transmission in NMDA receptors a robust mechanism for working memory? Neurocomputing (2002)
Friedrich T. Sommer, Thomas Wennekers
Associative memory in networks of spiking neurons. Neural Networks 14 (6-7) (2001)
Friedrich T. Sommer, Thomas Wennekers
Associative memory in a pair of cortical cell groups with reciprocal projections. Neurocomputing (2001)
Urs Vollmer, Friedrich T. Sommer
Coexistence of short and long term memory in a model network of realistic neurons. Neurocomputing (2001)
Friedrich T. Sommer
On cell assemblies in a cortical column. Neurocomputing (2000)
Friedrich T. Sommer, Günther Palm
Improved bidirectional retrieval of sparse patterns stored by Hebbian learning. Neural Networks 12 (2) (1999)
Thomas Wennekers, Friedrich T. Sommer
Gamma-oscillations support optimal retrieval in associative memories of two-compartment neurons. Neurocomputing (1999)
Friedrich T. Sommer, Peter Dayan
Bayesian retrieval in associative memories with storage errors. IEEE Trans. Neural Networks 9 (4) (1998)
Friedrich T. Sommer, Günther Palm
Bidirectional Retrieval from Associative Memory. NIPS (1997)
Friedhelm Schwenker, Friedrich T. Sommer, Günther Palm
Iterative retrieval of sparsely coded associative memory patterns. Neural Networks 9 (3) (1996)

Friedrich T. Sommer.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Friedrich T. Sommer