Benjamin Adric Dunn
Background and activities
Associate Professor in (Neural) Data Science at the Department of Mathematical Sciences
PhD and Postdoc at the Kavli Institute for Systems Neuroscience, NTNU
MS in Computational Engineering, Purdue University
BS in Applied Mathematics, University of Connecticut
Computational Methods Engineer, Pratt & Whitney, UTC
Scientific, academic and artistic work
A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database
- (2022) Toroidal topology of population activity in grid cells. Nature. vol. 602 (7895).
- (2021) Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience. Advances in Neural Information Processing Systems. vol. 34.
- (2020) Action representation in the mouse parieto-frontal network. Scientific Reports. vol. 10 (1).
- (2019) Decoding of neural data using cohomological feature extraction. Neural Computation. vol. 31 (1).
- (2018) Efficient cortical coding of 3D posture in freely behaving rats. Science. vol. 362 (6414).
- (2018) Using persistent homology to reveal hidden covariates in systems governed by the kinetic Ising model. Physical review. E. vol. 97 (3).
- (2017) Learning with unknowns: analyzing biological data in the presence of hidden variables. Current Opinion in Systems Biology.
- (2017) The appropriateness of ignorance in the inverse kinetic Ising model. Journal of Physics A: Mathematical and Theoretical. vol. 50 (12).
- (2017) A Novel Mechanism for the Grid-to-Place Cell Transformation Revealed by Transgenic Depolarization of Medial Entorhinal Cortex Layer II. Neuron. vol. 93 (6).
- (2015) Correlations and functional connections in a population of grid cells. PLoS Computational Biology. vol. 11 (2).
- (2015) Multi-neuronal activity and functional connectivity in cell assemblies. Current Opinion in Neurobiology. vol. 32.
- (2013) Grid cells require excitatory drive from the hippocampus. Nature Neuroscience. vol. 16 (3).
- (2013) Recurrent inhibitory circuitry as a mechanism for grid formation. Nature Neuroscience. vol. 16 (3).
- (2013) Learning and inference in a nonequilibrium Ising model with hidden nodes. Physical Review E. Statistical, Nonlinear, and Soft Matter Physics. vol. 87 (2).
- (2012) 702.06/DDD22 - Medial entorhinal cortex layer ii stellate cells are embedded within a recurrent inhibitory network. SFN Abstract Viewer/Itinerary Planner.
- (2012) 702.12/DDD28 - Entorhinal grid cells require excitatory drive from the hippocampus. SFN Abstract Viewer/Itinerary Planner.
- (2012) 702.08/DDD24 - An inhibitory network of grid cells. SFN Abstract Viewer/Itinerary Planner.
- (2012) 3899. Grid Cells Emerge From A Competitive Network. FENS.