Friedrich T. Sommer

According to our database, Friedrich T. Sommer authored at least 76 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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., July, 2024

Neuromorphic visual scene understanding with resonator networks.

Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Bruno A. Olshausen, Yulia Sandamirskaya, Friedrich T. Sommer, Edward Paxon Frady

Nat. Mac. Intell., 2024

Visual odometry with neuromorphic resonator networks.

Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Edward Paxon Frady, Friedrich T. Sommer, Yulia Sandamirskaya

Nat. Mac. Intell., 2024

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

2023

Learning Energy-Based Models in High-Dimensional Spaces with Multiscale Denoising-Score Matching.

Zengyi Li, Yubei Chen, Friedrich T. Sommer

Entropy, October, 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., July, 2023

Variable Binding for Sparse Distributed Representations: Theory and Applications.

Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer

IEEE Trans. Neural Networks Learn. Syst., May, 2023

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

CoRR, 2023

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

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

J. Signal Process. Syst., 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

Vector Symbolic Architectures as a Computing Framework for Emerging Hardware.

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

Proc. IEEE, 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, Thomas L. Athey, Joshua T. Vogelstein, Helen S. Mayberg, Maryann E. Martone

Neuroinformatics, 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

Neuromorphic Visual Odometry with Resonator Networks.

Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Edward Paxon Frady, Friedrich T. Sommer, Yulia Sandamirskaya

CoRR, 2022

Cross-Frequency Coupling Increases Memory Capacity in Oscillatory Neural Networks.

Connor Bybee, Alexander Belsten, Friedrich T. Sommer

CoRR, 2022

Deep Learning in Spiking Phasor Neural Networks.

Connor Bybee, Edward Paxon Frady, 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

Neural Manifold Clustering and Embedding.

Zengyi Li, Yubei Chen, Yann LeCun, Friedrich T. Sommer

CoRR, 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

Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

Computing on Functions Using Randomized Vector Representations (in brief).

Edward Paxon Frady, Denis Kleyko, Christopher J. Kymn, Bruno A. Olshausen, Friedrich T. Sommer

Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

Optimal Oscillator Memory Networks.

Connor Bybee, Friedrich T. Sommer

Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

Sparse Vector Binding on Spiking Neuromorphic Hardware Using Synaptic Delays.

Alpha Renner, Yulia Sandamirskaya, Friedrich T. Sommer, Edward Paxon Frady

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

2021

A Neural Network MCMC Sampler That Maximizes Proposal Entropy.

Zengyi Li, Yubei Chen, Friedrich T. Sommer

Entropy, 2021

Computing on Functions Using Randomized Vector Representations.

Edward Paxon Frady, Denis Kleyko, Christopher J. Kymn, Bruno A. Olshausen, Friedrich T. Sommer

CoRR, 2021

Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware.

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

CoRR, 2021

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

Proceedings of the IEEE Workshop on Signal Processing Systems, 2021

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

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

NWB Query Engines: Tools to Search Data Stored in Neurodata Without Borders Format.

Petr Jezek, Jeffrey L. Teeters, Friedrich T. Sommer

Frontiers Neuroinformatics, 2020

Perceptron Theory for Predicting the Accuracy of Neural Networks.

Denis Kleyko, Antonello Rosato, Edward Paxon Frady, Massimo Panella, 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

A Model for Image Segmentation in Retina.

Christopher Warner, Friedrich T. Sommer

CoRR, 2020

Complex Amplitude-Phase Boltzmann Machines.

Zengyi Li, Friedrich T. Sommer

CoRR, 2020

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

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

2019

Information integration in large brain networks.

Daniel Toker, Friedrich T. Sommer

PLoS Comput. Biol., 2019

Learning Overcomplete, Low Coherence Dictionaries with Linear Inference.

Jesse A. Livezey, Alejandro F. Bujan, Friedrich T. Sommer

J. Mach. Learn. Res., 2019

Annealed Denoising Score Matching: Learning Energy-Based Models in High-Dimensional Spaces.

Zengyi Li, Yubei Chen, 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

Robust computation with rhythmic spike patterns.

Edward Paxon Frady, Friedrich T. Sommer

CoRR, 2019

2018

A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks.

Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer

Neural Comput., 2018

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, Friedrich T. Sommer, Prabhat

Computer, 2018

2017

Theory of the superposition principle for randomized connectionist representations in neural networks.

Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer

CoRR, 2017

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

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

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, Roman Moucek, Dimiter Prodanov, Robert Pröpper, Hyrum L. Sessions, Leslie Smith, Andrey Sobolev, Adrian Stoewer, Barry Wark

CoRR, 2016

On degeneracy control in overcomplete ICA.

Jesse A. Livezey, Alejandro F. Bujan, Friedrich T. Sommer

CoRR, 2016

2015

When Can Dictionary Learning Uniquely Recover Sparse Data From Subsamples?

Christopher J. Hillar, Friedrich T. Sommer

IEEE Trans. Inf. Theory, 2015

2011

Learning in embodied action-perception loops through exploration

Daniel Y. Little, Friedrich T. Sommer

CoRR, 2011

2010

Memory Capacities for Synaptic and Structural Plasticity.

Andreas Knoblauch, Günther Palm, Friedrich T. Sommer

Neural Comput., 2010

Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication.

Guy Isley, Christopher J. Hillar, Friedrich T. Sommer

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Adaptive compressed sensing - A new class of self-organizing coding models for neuroscience.

William K. Coulter, Christopher J. Hillar, Guy Isley, Friedrich T. Sommer

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Learning Bimodal Structure in Audio-Visual Data.

Gianluca Monaci, Pierre Vandergheynst, Friedrich T. Sommer

IEEE Trans. Neural Networks, 2009

2008

Data Sharing for Computational Neuroscience.

Jeffrey L. Teeters, Kenneth D. Harris, K. Jarrod Millman, Bruno A. Olshausen, Friedrich T. Sommer

Neuroinformatics, 2008

Information transmission in oscillatory neural activity.

Kilian Koepsell, Friedrich T. Sommer

Biol. Cybern., 2008

Learning sparse generative models of audiovisual signals.

Gianluca Monaci, Friedrich T. Sommer, Pierre Vandergheynst

Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007

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

2006

Storing and restoring visual input with collaborative rank coding and associative memory.

Martin Rehn, Friedrich T. Sommer

Neurocomputing, 2006

2005

Synfire chains with conductance-based neurons: internal timing and coordination with timed input.

Friedrich T. Sommer, Thomas Wennekers

Neurocomputing, 2005

Computing with inter-spike interval codes in networks of integrate and fire neurons.

Dileep George, Friedrich T. Sommer

Neurocomputing, 2005

2004

Spike-timing-dependent synaptic plasticity can form "zero lag links" for cortical oscillations.

Andreas Knoblauch, Friedrich T. Sommer

Neurocomputing, 2004

2003

Editorial: Cell assemblies.

Thomas Wennekers, Friedrich T. Sommer, Ad Aertsen

Theory Biosci., 2003

Models of distributed associative memory networks in the brain.

Friedrich T. Sommer, Thomas Wennekers

Theory Biosci., 2003

The impact of thalamo-cortical projections on activity spread in cortex.

Volker Schmitt, Rolf Kötter, Friedrich T. Sommer

Neurocomputing, 2003

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

2002

Is voltage-dependent synaptic transmission in NMDA receptors a robust mechanism for working memory?

Andreas Knoblauch, Thomas Wennekers, Friedrich T. Sommer

Neurocomputing, 2002

Dynamische Clusteranalyse von [¹¹C]-PK11195 PET-Daten des Gehirns.

Axel Baune, Gerhard Glatting, Jochen Karitzky, Friedrich T. Sommer

Proceedings of the Bildverarbeitung für die Medizin 2002: Algorithmen, 2002

2001

Associative memory in networks of spiking neurons.

Friedrich T. Sommer, Thomas Wennekers

Neural Networks, 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 a pair of cortical cell groups with reciprocal projections.

Friedrich T. Sommer, Thomas Wennekers

Neurocomputing, 2001

2000

On cell assemblies in a cortical column.

Friedrich T. Sommer

Neurocomputing, 2000

1999

Improved bidirectional retrieval of sparse patterns stored by Hebbian learning.

Friedrich T. Sommer, Günther Palm

Neural Networks, 1999

Gamma-oscillations support optimal retrieval in associative memories of two-compartment neurons.

Thomas Wennekers, Friedrich T. Sommer

Neurocomputing, 1999

1998

Bayesian retrieval in associative memories with storage errors.

Friedrich T. Sommer, Peter Dayan

IEEE Trans. Neural Networks, 1998

1997

Bidirectional Retrieval from Associative Memory.

Friedrich T. Sommer, Günther Palm

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1996

Iterative retrieval of sparsely coded associative memory patterns.

Friedhelm Schwenker, Friedrich T. Sommer, Günther Palm

Neural Networks, 1996

1994

Theorie neuronaler Assoziativspeicher: lokales Lernen und iteratives Retrieval von Information.

Friedrich T. Sommer

PhD thesis, 1994