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2020 – today
- 2024
[j41]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): 641-652 (2024)- [j40]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): 653-663 (2024) - [j39]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): 9885-9899 (2024) - [i32]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 abs/2406.18808 (2024) - 2023
- [j38]Zengyi Li, Yubei Chen, Friedrich T. Sommer:
Learning Energy-Based Models in High-Dimensional Spaces with Multiscale Denoising-Score Matching. Entropy 25(10): 1367 (2023) - [j37]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): 1159-1186 (2023) - [j36]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): 2191-2204 (2023) - [i31]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 abs/2303.13691 (2023) - [i30]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 abs/2305.16873 (2023) - [i29]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 abs/2311.04872 (2023) - 2022
- [j35]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): 507-512 (2022) - [j34]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): 1538-1571 (2022) - [j33]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): 2701-2713 (2022) - [j32]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): 917-927 (2022) - [c12]Alpha Renner, Yulia Sandamirskaya, Friedrich T. Sommer, Edward Paxon Frady:
Sparse Vector Binding on Spiking Neuromorphic Hardware Using Synaptic Delays. ICONS 2022: 27:1-27:5 - [c11]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: 73-80 - [c10]Connor Bybee, Friedrich T. Sommer:
Optimal Oscillator Memory Networks. NICE 2022: 81-83 - [c9]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: 115-122 - [i28]Zengyi Li, Yubei Chen, Yann LeCun, Friedrich T. Sommer:
Neural Manifold Clustering and Embedding. CoRR abs/2201.10000 (2022) - [i27]Christopher Warner, Kiersten Ruda, Friedrich T. Sommer:
A probabilistic latent variable model for detecting structure in binary data. CoRR abs/2201.11108 (2022) - [i26]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 abs/2203.00920 (2022) - [i25]Connor Bybee, Edward Paxon Frady, Friedrich T. Sommer:
Deep Learning in Spiking Phasor Neural Networks. CoRR abs/2204.00507 (2022) - [i24]Connor Bybee, Alexander Belsten, Friedrich T. Sommer:
Cross-Frequency Coupling Increases Memory Capacity in Oscillatory Neural Networks. CoRR abs/2204.07163 (2022) - [i23]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 abs/2208.12880 (2022) - [i22]Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Edward Paxon Frady, Friedrich T. Sommer, Yulia Sandamirskaya:
Neuromorphic Visual Odometry with Resonator Networks. CoRR abs/2209.02000 (2022) - [i21]Connor Bybee, Denis Kleyko, Dmitri E. Nikonov, Amir Khosrowshahi, Bruno A. Olshausen, Friedrich T. Sommer:
Efficient Optimization with Higher-Order Ising Machines. CoRR abs/2212.03426 (2022) - 2021
- [j31]Zengyi Li, Yubei Chen, Friedrich T. Sommer:
A Neural Network MCMC Sampler That Maximizes Proposal Entropy. Entropy 23(3): 269 (2021) - [c8]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: 254-259 - [i20]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 abs/2106.05268 (2021) - [i19]Edward Paxon Frady, Denis Kleyko, Christopher J. Kymn, Bruno A. Olshausen, Friedrich T. Sommer:
Computing on Functions Using Randomized Vector Representations. CoRR abs/2109.03429 (2021) - [i18]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 abs/2111.03746 (2021) - 2020
- [j30]Petr Jezek, Jeffrey L. Teeters, Friedrich T. Sommer:
NWB Query Engines: Tools to Search Data Stored in Neurodata Without Borders Format. Frontiers Neuroinformatics 14: 27 (2020) - [j29]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): 2311-2331 (2020) - [j28]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): 2332-2388 (2020) - [c7]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: 23:1-23:10 - [i17]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 abs/2004.12691 (2020) - [i16]Zengyi Li, Friedrich T. Sommer:
Complex Amplitude-Phase Boltzmann Machines. CoRR abs/2005.01862 (2020) - [i15]Christopher Warner, Friedrich T. Sommer:
A Model for Image Segmentation in Retina. CoRR abs/2005.02567 (2020) - [i14]Edward Paxon Frady, Spencer J. Kent, Bruno A. Olshausen, Friedrich T. Sommer:
Resonator networks for factoring distributed representations of data structures. CoRR abs/2007.03748 (2020) - [i13]Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer:
Variable Binding for Sparse Distributed Representations: Theory and Applications. CoRR abs/2009.06734 (2020) - [i12]Denis Kleyko, Edward Paxon Frady, Friedrich T. Sommer:
Cellular Automata Can Reduce Memory Requirements of Collective-State Computing. CoRR abs/2010.03585 (2020) - [i11]Zengyi Li, Yubei Chen, Friedrich T. Sommer:
A Neural Network MCMC sampler that maximizes Proposal Entropy. CoRR abs/2010.03587 (2020) - [i10]Denis Kleyko, Antonello Rosato, Edward Paxon Frady, Massimo Panella, Friedrich T. Sommer:
Perceptron Theory for Predicting the Accuracy of Neural Networks. CoRR abs/2012.07881 (2020)
2010 – 2019
- 2019
- [j27]Jesse A. Livezey, Alejandro F. Bujan, Friedrich T. Sommer:
Learning Overcomplete, Low Coherence Dictionaries with Linear Inference. J. Mach. Learn. Res. 20: 174:1-174:42 (2019) - [j26]Daniel Toker, Friedrich T. Sommer:
Information integration in large brain networks. PLoS Comput. Biol. 15(2) (2019) - [i9]Edward Paxon Frady, Friedrich T. Sommer:
Robust computation with rhythmic spike patterns. CoRR abs/1901.07718 (2019) - [i8]Spencer J. Kent, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen:
Resonator Circuits for factoring high-dimensional vectors. CoRR abs/1906.11684 (2019) - [i7]Zengyi Li, Yubei Chen, Friedrich T. Sommer:
Annealed Denoising Score Matching: Learning Energy-Based Models in High-Dimensional Spaces. CoRR abs/1910.07762 (2019) - 2018
- [j25]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): 50-59 (2018) - [j24]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) - [i6]Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer:
A theory of sequence indexing and working memory in recurrent neural networks. CoRR abs/1803.00412 (2018) - 2017
- [c6]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: 3636-3639 - [i5]Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer:
Theory of the superposition principle for randomized connectionist representations in neural networks. CoRR abs/1707.01429 (2017) - 2016
- [i4]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 abs/1605.07673 (2016) - [i3]Jesse A. Livezey, Alejandro F. Bujan, Friedrich T. Sommer:
On degeneracy control in overcomplete ICA. CoRR abs/1606.03474 (2016) - 2015
- [j23]Christopher J. Hillar, Friedrich T. Sommer:
When Can Dictionary Learning Uniquely Recover Sparse Data From Subsamples? IEEE Trans. Inf. Theory 61(11): 6290-6297 (2015) - 2011
- [i2]Daniel Y. Little, Friedrich T. Sommer:
Learning in embodied action-perception loops through exploration. CoRR abs/1112.1125 (2011) - 2010
- [j22]Andreas Knoblauch, Günther Palm, Friedrich T. Sommer:
Memory Capacities for Synaptic and Structural Plasticity. Neural Comput. 22(2): 289-341 (2010) - [c5]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: 5494-5497 - [c4]Guy Isley, Christopher J. Hillar, Friedrich T. Sommer:
Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication. NIPS 2010: 910-918
2000 – 2009
- 2009
- [j21]Gianluca Monaci, Pierre Vandergheynst, Friedrich T. Sommer:
Learning Bimodal Structure in Audio-Visual Data. IEEE Trans. Neural Networks 20(12): 1898-1910 (2009) - 2008
- [j20]Kilian Koepsell, Friedrich T. Sommer:
Information transmission in oscillatory neural activity. Biol. Cybern. 99(4-5): 403-416 (2008) - [j19]Jeffrey L. Teeters, Kenneth D. Harris, K. Jarrod Millman, Bruno A. Olshausen, Friedrich T. Sommer:
Data Sharing for Computational Neuroscience. Neuroinformatics 6(1): 47-55 (2008) - [c3]Gianluca Monaci, Friedrich T. Sommer, Pierre Vandergheynst:
Learning sparse generative models of audiovisual signals. EUSIPCO 2008: 1-5 - [i1]Kilian Koepsell, Friedrich T. Sommer:
Information transmission in oscillatory neural activity. CoRR abs/0809.4059 (2008) - 2007
- [j18]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): 135-146 (2007) - 2006
- [j17]Martin Rehn, Friedrich T. Sommer:
Storing and restoring visual input with collaborative rank coding and associative memory. Neurocomputing 69(10-12): 1219-1223 (2006) - 2005
- [j16]Dileep George, Friedrich T. Sommer:
Computing with inter-spike interval codes in networks of integrate and fire neurons. Neurocomputing 65-66: 415-420 (2005) - [j15]Friedrich T. Sommer, Thomas Wennekers:
Synfire chains with conductance-based neurons: internal timing and coordination with timed input. Neurocomputing 65-66: 449-454 (2005) - 2004
- [j14]Andreas Knoblauch, Friedrich T. Sommer:
Spike-timing-dependent synaptic plasticity can form "zero lag links" for cortical oscillations. Neurocomputing 58-60: 185-190 (2004) - 2003
- [j13]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 52-54: 301-306 (2003) - [j12]Volker Schmitt, Rolf Kötter, Friedrich T. Sommer:
The impact of thalamo-cortical projections on activity spread in cortex. Neurocomputing 52-54: 919-924 (2003) - [j11]Thomas Wennekers, Friedrich T. Sommer, Ad Aertsen:
Editorial: Cell assemblies. Theory Biosci. 122(1): 1-4 (2003) - [j10]Friedrich T. Sommer, Thomas Wennekers:
Models of distributed associative memory networks in the brain. Theory Biosci. 122(1): 55-69 (2003) - 2002
- [j9]Andreas Knoblauch, Thomas Wennekers, Friedrich T. Sommer:
Is voltage-dependent synaptic transmission in NMDA receptors a robust mechanism for working memory? Neurocomputing 44-46: 19-24 (2002) - [c2]Axel Baune, Gerhard Glatting, Jochen Karitzky, Friedrich T. Sommer:
Dynamische Clusteranalyse von [11C]-PK11195 PET-Daten des Gehirns. Bildverarbeitung für die Medizin 2002: 259-262 - 2001
- [j8]Urs Vollmer, Friedrich T. Sommer:
Coexistence of short and long term memory in a model network of realistic neurons. Neurocomputing 38-40: 1031-1036 (2001) - [j7]Friedrich T. Sommer, Thomas Wennekers:
Associative memory in a pair of cortical cell groups with reciprocal projections. Neurocomputing 38-40: 1575-1580 (2001) - [j6]Friedrich T. Sommer, Thomas Wennekers:
Associative memory in networks of spiking neurons. Neural Networks 14(6-7): 825-834 (2001) - 2000
- [j5]Friedrich T. Sommer:
On cell assemblies in a cortical column. Neurocomputing 32-33: 517-522 (2000)
1990 – 1999
- 1999
- [j4]Thomas Wennekers, Friedrich T. Sommer:
Gamma-oscillations support optimal retrieval in associative memories of two-compartment neurons. Neurocomputing 26-27: 573-578 (1999) - [j3]Friedrich T. Sommer, Günther Palm:
Improved bidirectional retrieval of sparse patterns stored by Hebbian learning. Neural Networks 12(2): 281-297 (1999) - 1998
- [j2]Friedrich T. Sommer, Peter Dayan:
Bayesian retrieval in associative memories with storage errors. IEEE Trans. Neural Networks 9(4): 705-713 (1998) - 1997
- [c1]Friedrich T. Sommer, Günther Palm:
Bidirectional Retrieval from Associative Memory. NIPS 1997: 675-681 - 1996
- [j1]Friedhelm Schwenker, Friedrich T. Sommer, Günther Palm:
Iterative retrieval of sparsely coded associative memory patterns. Neural Networks 9(3): 445-455 (1996) - 1994
- [b1]Friedrich T. Sommer:
Theorie neuronaler Assoziativspeicher: lokales Lernen und iteratives Retrieval von Information. University of Düsseldorf, Germany, Hänsel-Hohenhausen 1994, ISBN 978-3-89349-901-4
Coauthor Index
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