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Benjamin Dunn
Benjamin Dunn
Department of Mathematics, NTNU
Verified email at ntnu.no - Homepage
Title
Cited by
Cited by
Year
Recurrent inhibitory circuitry as a mechanism for grid formation
JJ Couey, A Witoelar, SJ Zhang, K Zheng, J Ye, B Dunn, R Czajkowski, ...
Nature Neuroscience, 2013
4442013
Grid cells require excitatory drive from the hippocampus
T Bonnevie, B Dunn, M Fyhn, T Hafting, D Derdikman, JL Kubie, Y Roudi, ...
Nature Neuroscience, 2013
4312013
Toroidal topology of population activity in grid cells
RJ Gardner, E Hermansen, M Pachitariu, Y Burak, NA Baas, BA Dunn, ...
Nature 602 (7895), 123-128, 2022
2362022
Efficient cortical coding of 3D posture in freely behaving rats
B Mimica, BA Dunn, T Tombaz, VS Bojja, JR Whitlock
Science 362 (6414), 584-589, 2018
1102018
A Novel Mechanism for the Grid-to-Place Cell Transformation Revealed by Transgenic Depolarization of Medial Entorhinal Cortex Layer II
BR Kanter, CM Lykken, D Avesar, A Weible, J Dickinson, B Dunn, ...
Neuron 93 (6), 1480-1492. e6, 2017
1062017
Correlations and functional connections in a population of grid cells
B Dunn, M Mørreaunet, Y Roudi
PLoS computational biology 11 (2), e1004052, 2015
712015
Decoding of Neural Data Using Cohomological Feature Extraction
E Rybakken, N Baas, B Dunn
Neural Computation, 1-26, 2018
612018
Multi-neuronal activity and functional connectivity in cell assemblies
Y Roudi, B Dunn, J Hertz
Current Opinion in Neurobiology 32, 38-44, 2015
602015
Learning and inference in a nonequilibrium Ising model with hidden nodes
B Dunn, Y Roudi
Physical Review E 87 (2), 022127, 2013
532013
Score-based generative classifiers
RS Zimmermann, L Schott, Y Song, BA Dunn, DA Klindt
NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications, 2021
362021
Grid cells show field-to-field variability and this explains the aperiodic response of inhibitory interneurons
B Dunn, D Wennberg, Z Huang, Y Roudi
arXiv preprint arXiv:1701.04893, 2017
282017
Using persistent homology to reveal hidden covariates in systems governed by the kinetic ising model
G Spreemann, B Dunn, MB Botnan, NA Baas
Physical Review E 97 (3), 032313, 2018
23*2018
Action representation in the mouse parieto-frontal network
T Tombaz, BA Dunn, K Hovde, RJ Cubero, B Mimica, P Mamidanna, ...
Scientific reports 10 (1), 5559, 2020
182020
Learning with unknowns: analyzing biological data in the presence of hidden variables
C Battistin, B Dunn, Y Roudi
Current Opinion in Systems Biology 1, 122-128, 2017
162017
Behavioral decomposition reveals rich encoding structure employed across neocortex in rats
B Mimica, T Tombaz, C Battistin, JG Fuglstad, BA Dunn, JR Whitlock
Nature Communications 14 (1), 3947, 2023
13*2023
Insights into the quantification and reporting of model-related uncertainty across different disciplines
EG Simmonds, KP Adjei, CW Andersen, JCH Aspheim, C Battistin, ...
Iscience 25 (12), 2022
8*2022
Uncovering 2-D toroidal representations in grid cell ensemble activity during 1-D behavior
E Hermansen, DA Klindt, BA Dunn
bioRxiv, 2022.11. 25.517966, 2022
82022
Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience
D Gonschorek, L Höfling, KP Szatko, K Franke, T Schubert, B Dunn, ...
Advances in Neural Information Processing Systems 34, 3706-3719, 2021
82021
The appropriateness of ignorance in the inverse kinetic Ising model
B Dunn, C Battistin
Journal of Physics A: Mathematical and Theoretical 50 (12), 124002, 2017
82017
Understanding neural coding on latent manifolds by sharing features and dividing ensembles
M Bjerke, L Schott, KT Jensen, C Battistin, DA Klindt, BA Dunn
The Eleventh International Conference on Learning Representations ICLR, 2023
42023
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Articles 1–20