Friedrich T Sommer

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Paxon FradyUC BerkeleyVerified email at berkeley.edu
Bruno OlshausenProfessor, UC BerkeleyVerified email at berkeley.edu
Günther PalmProfessor für Neuroinformatik, Universität UlmVerified email at uni-ulm.de
Denis KleykoÖrebro University & RISE Research institutes of SwedenVerified email at oru.se
Xin Wangd-Matrix Corp.Verified email at salk.edu
Andreas KnoblauchProfessor for Computer Science, Informatics Faculty, Albstadt-Sigmaringen UniversityVerified email at hs-albsig.de
Thomas WennekersReader in Computational Neuroscience, The University of PlymouthVerified email at plymouth.ac.uk
Luis M. MartinezInstituto de Neurociencias de Alicante. CSIC-UMHVerified email at umh.es
Vishal VaingankarData Science at GoogleVerified email at usc.edu
Kenneth HarrisUniversity College LondonVerified email at ucl.ac.uk
Qingbo WangResearch Staff Member, Western Digital ResearchVerified email at wdc.com
Kilian KoepsellCo-Founder & CTO, Caption HealthVerified email at captionhealth.com
Daniel TokerUniversity of California, Los AngelesVerified email at g.ucla.edu
Spencer KentPhD Student, University of California, BerkeleyVerified email at berkeley.edu
Christopher HillarAwecom, Inc.Verified email at awecom.com
ZENGYI LIUC Berkeley | Aizip.aiVerified email at berkeley.edu
Friedhelm SchwenkerUlm University, Institute of Neural Information ProcessingVerified email at uni-ulm.de
Yubei ChenUC Davis | Aizip.aiVerified email at ucdavis.edu
miyoung chunThe Kavli FoundationVerified email at kavlifoundation.org
Christof KochChief Scientist, MindScope Program, Allen InstituteVerified email at alleninstitute.org

Friedrich T Sommer

UC Berkeley

Verified email at berkeley.edu - Homepage

Theoretical Neuroscience


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Receptive field structure varies with layer in the primary visual cortex LM Martinez, Q Wang, RC Reid, C Pillai, JM Alonso, FT Sommer, ... Nature neuroscience 8 (3), 372-379, 2005	246	2005
A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields M Rehn, FT Sommer Journal of computational neuroscience 22, 135-146, 2007	241	2007
Efficient neuromorphic signal processing with loihi 2 G Orchard, EP Frady, DBD Rubin, S Sanborn, SB Shrestha, FT Sommer, ... 2021 IEEE Workshop on Signal Processing Systems (SiPS), 254-259, 2021	237	2021
Functionally distinct inhibitory neurons at the first stage of visual cortical processing JA Hirsch, LM Martinez, C Pillai, JM Alonso, Q Wang, FT Sommer Nature neuroscience 6 (12), 1300-1308, 2003	223	2003
Learning and exploration in action-perception loops DY Little, FT Sommer Frontiers in Neural Circuits, 295, 2013	197*	2013
Memory capacities for synaptic and structural plasticity A Knoblauch, G Palm, FT Sommer Neural Computation 22 (2), 289-341, 2010	194	2010
Neurodata without borders: creating a common data format for neurophysiology JL Teeters, K Godfrey, R Young, C Dang, C Friedsam, B Wark, H Asari, ... Neuron 88 (4), 629-634, 2015	191	2015
Spatially distributed local fields in the hippocampus encode rat position G Agarwal, IH Stevenson, A Berényi, K Mizuseki, G Buzsáki, FT Sommer Science 344 (6184), 626-630, 2014	168	2014
A simple method for detecting chaos in nature D Toker, FT Sommer, M D’Esposito Communications biology 3 (1), 11, 2020	166	2020
Data sharing for computational neuroscience JL Teeters, KD Harris, KJ Millman, BA Olshausen, FT Sommer Neuroinformatics 6, 47-55, 2008	156	2008
Iterative retrieval of sparsely coded associative memory patterns F Schwenker, FT Sommer, G Palm Neural Networks 9 (3), 445-455, 1996	144	1996
Feedforward excitation and inhibition evoke dual modes of firing in the cat's visual thalamus during naturalistic viewing X Wang, Y Wei, V Vaingankar, Q Wang, K Koepsell, FT Sommer, ... Neuron 55 (3), 465-478, 2007	130	2007
Global relationship between anatomical connectivity and activity propagation in the cerebral cortex R Kotter, FT Sommer Philosophical Transactions of the Royal Society of London. Series B …, 2000	123	2000
Information capacity in recurrent McCulloch-Pitts networks with sparsely coded memory states G Palm, FT Sommer Network: Computation in Neural Systems 3 (2), 177, 1992	116	1992
A theory of sequence indexing and working memory in recurrent neural networks EP Frady, D Kleyko, FT Sommer Neural Computation 30 (6), 1449-1513, 2018	115	2018
Vector symbolic architectures as a computing framework for emerging hardware D Kleyko, M Davies, EP Frady, P Kanerva, SJ Kent, BA Olshausen, ... Proceedings of the IEEE 110 (10), 1538-1571, 2022	112	2022
Dynamical cluster analysis of cortical fMRI activation A Baune, FT Sommer, M Erb, D Wildgruber, B Kardatzki, G Palm, W Grodd NeuroImage 9 (5), 477-489, 1999	104	1999
Associative memory in networks of spiking neurons FT Sommer, T Wennekers Neural networks 14 (6-7), 825-834, 2001	101	2001
Consciousness is supported by near-critical slow cortical electrodynamics D Toker, I Pappas, JD Lendner, J Frohlich, DM Mateos, ... Proceedings of the National Academy of Sciences 119 (7), e2024455119, 2022	99	2022
Improved bidirectional retrieval of sparse patterns stored by Hebbian learning FT Sommer, G Palm Neural Networks 12 (2), 281-297, 1999	99	1999

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