A time-dependent analysis of spatial information encoding in the rat hippocampus. - Riccardo Barbieri; Loren M. Frank; Michael C. Quirk; Matthew A. Wilson; Emery N. Brown (Neurocomputing, 2000)

Diagnostic methods for statistical models of place cell spiking activity. - Riccardo Barbieri; Loren M. Frank; Michael C. Quirk; Matthew A. Wilson; Emery N. Brown (Neurocomputing, 2001)

Construction and analysis of non-Gaussian spatial models of neural spiking activity. - Riccardo Barbieri; Loren M. Frank; Michael C. Quirk; Victor Solo; Matthew A. Wilson; Emery N. Brown (Neurocomputing, 2002)

The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis. - Emery N. Brown; Riccardo Barbieri; Valérie Ventura; Robert E. Kass; Loren M. Frank (Neural Comput., 2002)

Dynamic Analyses of Information Encoding in Neural Ensembles. - Riccardo Barbieri; Loren M. Frank; David P. Nguyen; Michael C. Quirk; Victor Solo; Matthew A. Wilson; Emery N. Brown (Neural Comput., 2004)

Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering. - Uri T. Eden; Loren M. Frank; Riccardo Barbieri; Victor Solo; Emery N. Brown (Neural Comput., 2004)

Topological maps from signals. - Yu. Dabaghian; Anthony G. Cohn 001; Loren M. Frank (GIS, 2007)

Probability of Repeating Patterns in Simultaneous Neural Data. - Anne C. Smith; Vinh Kha Nguyen; Mattias P. Karlsson; Loren M. Frank; Peter Smith (Neural Comput., 2010)

A Topological Paradigm for Hippocampal Spatial Map Formation Using Persistent Homology. - Yu. Dabaghian; Facundo Mémoli; Loren M. Frank; Gunnar E. Carlsson (PLoS Comput. Biol., 2012)

Towards a large-scale recording system: Demonstration of polymer-based penetrating array for chronic neural recording. - Angela C. Tooker; Daniel F. Liu; Emily B. Anderson; Sarah H. Felix; Kedar G. Shah; Kye Young Lee; Jason E. Chung; Satinderpall Pannu; Loren M. Frank; Vanessa M. Tolosa (EMBC, 2014)

Clusterless Decoding of Position from Multiunit Activity Using a Marked Point Process Filter. - Xinyi Deng; Daniel F. Liu; Kenneth Kay; Loren M. Frank; Uri T. Eden (Neural Comput., 2015)

A Comparison Study of Point-Process Filter and Deep Learning Performance in Estimating Rat Position Using an Ensemble of Place Cells. - Mohammad R. Rezaei; Anna K. Gillespie; Jennifer A. Guidera; Behzad Nazari; Saeid Sadri; Loren M. Frank; Uri T. Eden; Ali Yousefi (EMBC, 2018)

International Neuroscience Initiatives through the Lens of High-Performance Computing. - Kristofer E. Bouchard; James B. Aimone; Miyoung Chun; Thomas Dean; Michael Denker; Markus Diesmann; David Donofrio; Loren M. Frank; Narayanan Kasthuri; Christof Koch; Oliver Rübel; Horst D. Simon; et al. (Computer, 2018)

Characterizing hippocampal replay using hybrid point process state space models. - Eric L. Denovellis; Loren M. Frank; Uri T. Eden (ACSSC, 2019)

HDMF: Hierarchical Data Modeling Framework for Modern Science Data Standards. - Andrew J. Tritt; Oliver Rübel; Benjamin K. Dichter; Ryan Ly; Donghe Kang; Edward F. Chang; Loren M. Frank; Kristofer E. Bouchard (IEEE BigData, 2019)

Efficient Decoding of Multi-Dimensional Signals From Population Spiking Activity Using a Gaussian Mixture Particle Filter. - Ali Yousefi; Anna K. Gillespie; Jennifer A. Guidera; Mattias P. Karlsson; Loren M. Frank; Uri T. Eden (IEEE Trans. Biomed. Eng., 2019)

The impact of reducing signal acquisition specifications on neuronal spike sorting. - John Hermiz; Elias Joseph; Kyu Hyun Lee; Isabella A. Baldacci; Jason E. Chung; Loren M. Frank; Kristofer E. Bouchard; Peter Denes (EMBC, 2021)

Identifying Feedforward and Feedback Controllable Subspaces of Neural Population Dynamics. - Ankit Kumar; Loren M. Frank; Kristofer E. Bouchard (CoRR, 2024)