Friedrich T. Sommer

Orcid: 0000-0002-6738-9263

According to our database1, Friedrich T. Sommer authored at least 73 papers between 1994 and 2023.

Collaborative distances:



In proceedings 
PhD thesis 




Learning Energy-Based Models in High-Dimensional Spaces with Multiscale Denoising-Score Matching.
Entropy, October, 2023

Efficient Decoding of Compositional Structure in Holistic Representations.
Neural Comput., July, 2023

Variable Binding for Sparse Distributed Representations: Theory and Applications.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

Computing with Residue Numbers in High-Dimensional Representation.
CoRR, 2023

Learning and generalization of compositional representations of visual scenes.
CoRR, 2023

Efficient Neuromorphic Signal Processing with Resonator Neurons.
J. Signal Process. Syst., 2022

Cellular Automata Can Reduce Memory Requirements of Collective-State Computing.
IEEE Trans. Neural Networks Learn. Syst., 2022

Vector Symbolic Architectures as a Computing Framework for Emerging Hardware.
Proc. IEEE, 2022

Is Neuroscience FAIR? A Call for Collaborative Standardisation of Neuroscience Data.
Neuroinformatics, 2022

Efficient Optimization with Higher-Order Ising Machines.
CoRR, 2022

Neuromorphic Visual Odometry with Resonator Networks.
CoRR, 2022

Neuromorphic Visual Scene Understanding with Resonator Networks.
CoRR, 2022

Cross-Frequency Coupling Increases Memory Capacity in Oscillatory Neural Networks.
CoRR, 2022

Deep Learning in Spiking Phasor Neural Networks.
CoRR, 2022

A probabilistic latent variable model for detecting structure in binary data.
CoRR, 2022

Neural Manifold Clustering and Embedding.
CoRR, 2022

Integer Factorization with Compositional Distributed Representations.
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

Computing on Functions Using Randomized Vector Representations (in brief).
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

Optimal Oscillator Memory Networks.
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

Sparse Vector Binding on Spiking Neuromorphic Hardware Using Synaptic Delays.
Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

A Neural Network MCMC Sampler That Maximizes Proposal Entropy.
Entropy, 2021

Computing on Functions Using Randomized Vector Representations.
CoRR, 2021

Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware.
CoRR, 2021

Efficient Neuromorphic Signal Processing with Loihi 2.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2021

Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods.
Neural Comput., 2020

Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures.
Neural Comput., 2020

NWB Query Engines: Tools to Search Data Stored in Neurodata Without Borders Format.
Frontiers Neuroinformatics, 2020

Perceptron Theory for Predicting the Accuracy of Neural Networks.
CoRR, 2020

Resonator networks for factoring distributed representations of data structures.
CoRR, 2020

A Model for Image Segmentation in Retina.
CoRR, 2020

Complex Amplitude-Phase Boltzmann Machines.
CoRR, 2020

Neuromorphic Nearest Neighbor Search Using Intel's Pohoiki Springs.
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

Information integration in large brain networks.
PLoS Comput. Biol., 2019

Learning Overcomplete, Low Coherence Dictionaries with Linear Inference.
J. Mach. Learn. Res., 2019

Annealed Denoising Score Matching: Learning Energy-Based Models in High-Dimensional Spaces.
CoRR, 2019

Resonator Circuits for factoring high-dimensional vectors.
CoRR, 2019

Robust computation with rhythmic spike patterns.
CoRR, 2019

A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks.
Neural Comput., 2018

International Neuroscience Initiatives through the Lens of High-Performance Computing.
Computer, 2018

Theory of the superposition principle for randomized connectionist representations in neural networks.
CoRR, 2017

Sparse coding of ECoG signals identifies interpretable components for speech control in human sensorimotor cortex.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Requirements for storing electrophysiology data.
CoRR, 2016

On degeneracy control in overcomplete ICA.
CoRR, 2016

When Can Dictionary Learning Uniquely Recover Sparse Data From Subsamples?
IEEE Trans. Inf. Theory, 2015

Learning in embodied action-perception loops through exploration
CoRR, 2011

Memory Capacities for Synaptic and Structural Plasticity.
Neural Comput., 2010

Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication.
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.
Proceedings of the IEEE International Conference on Acoustics, 2010

Learning Bimodal Structure in Audio-Visual Data.
IEEE Trans. Neural Networks, 2009

Data Sharing for Computational Neuroscience.
Neuroinformatics, 2008

Information transmission in oscillatory neural activity.
Biol. Cybern., 2008

Learning sparse generative models of audiovisual signals.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields.
J. Comput. Neurosci., 2007

Storing and restoring visual input with collaborative rank coding and associative memory.
Neurocomputing, 2006

Synfire chains with conductance-based neurons: internal timing and coordination with timed input.
Neurocomputing, 2005

Computing with inter-spike interval codes in networks of integrate and fire neurons.
Neurocomputing, 2005

Spike-timing-dependent synaptic plasticity can form "zero lag links" for cortical oscillations.
Neurocomputing, 2004

Editorial: Cell assemblies.
Theory Biosci., 2003

Models of distributed associative memory networks in the brain.
Theory Biosci., 2003

The impact of thalamo-cortical projections on activity spread in cortex.
Neurocomputing, 2003

Synaptic plasticity, conduction delays, and inter-areal phase relations of spike activity in a model of reciprocally connected areas.
Neurocomputing, 2003

Is voltage-dependent synaptic transmission in NMDA receptors a robust mechanism for working memory?
Neurocomputing, 2002

Dynamische Clusteranalyse von [<sup>11</sup>C]-PK11195 PET-Daten des Gehirns.
Proceedings of the Bildverarbeitung für die Medizin 2002: Algorithmen, 2002

Associative memory in networks of spiking neurons.
Neural Networks, 2001

Coexistence of short and long term memory in a model network of realistic neurons.
Neurocomputing, 2001

Associative memory in a pair of cortical cell groups with reciprocal projections.
Neurocomputing, 2001

On cell assemblies in a cortical column.
Neurocomputing, 2000

Improved bidirectional retrieval of sparse patterns stored by Hebbian learning.
Neural Networks, 1999

Gamma-oscillations support optimal retrieval in associative memories of two-compartment neurons.
Neurocomputing, 1999

Bayesian retrieval in associative memories with storage errors.
IEEE Trans. Neural Networks, 1998

Bidirectional Retrieval from Associative Memory.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Iterative retrieval of sparsely coded associative memory patterns.
Neural Networks, 1996

Theorie neuronaler Assoziativspeicher: lokales Lernen und iteratives Retrieval von Information.
PhD thesis, 1994