Benjamin Adric Dunn
Background and activities
Associate Professor in (Neural) Data Science at the Department of Mathematical Sciences
Former positions:
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
Journal publications
- (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.