Loren M. Frank

18 papers Misc 1Journal 12Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Identifying Feedforward and Feedback Controllable Subspaces of Neural Population Dynamics. CoRR Ankit Kumar, Loren M. Frank, Kristofer E. Bouchard
2021	—	`conf`	The impact of reducing signal acquisition specifications on neuronal spike sorting. EMBC John Hermiz, Elias Joseph, Kyu Hyun Lee, Isabella A. Baldacci, Jason E. Chung, Loren M. Frank, Kristofer E. Bouchard, Peter Denes
2019	Misc	`conf`	Characterizing hippocampal replay using hybrid point process state space models. ACSSC Eric L. Denovellis, Loren M. Frank, Uri T. Eden
2019	J	`jnl`	Efficient Decoding of Multi-Dimensional Signals From Population Spiking Activity Using a Gaussian Mixture Particle Filter. IEEE Trans. Biomed. Eng. Ali Yousefi, Anna K. Gillespie, Jennifer A. Guidera, Mattias P. Karlsson, Loren M. Frank, Uri T. Eden
2019	—	`conf`	HDMF: Hierarchical Data Modeling Framework for Modern Science Data Standards. IEEE BigData Andrew J. Tritt, Oliver Rübel, Benjamin K. Dichter, Ryan Ly, Donghe Kang, Edward F. Chang, Loren M. Frank, Kristofer E. Bouchard
2018	—	`conf`	A Comparison Study of Point-Process Filter and Deep Learning Performance in Estimating Rat Position Using an Ensemble of Place Cells. EMBC Mohammad R. Rezaei, Anna K. Gillespie, Jennifer A. Guidera, Behzad Nazari, Saeid Sadri, Loren M. Frank, Uri T. Eden, Ali Yousefi
2018	J	`jnl`	International Neuroscience Initiatives through the Lens of High-Performance Computing. Computer 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, Friedrich T. Sommer, Prabhat
2015	J	`jnl`	Clusterless Decoding of Position from Multiunit Activity Using a Marked Point Process Filter. Neural Comput. Xinyi Deng, Daniel F. Liu, Kenneth Kay, Loren M. Frank, Uri T. Eden
2014	—	`conf`	Towards a large-scale recording system: Demonstration of polymer-based penetrating array for chronic neural recording. EMBC 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
2012	J	`jnl`	A Topological Paradigm for Hippocampal Spatial Map Formation Using Persistent Homology. PLoS Comput. Biol. Yu. Dabaghian, Facundo Mémoli, Loren M. Frank, Gunnar E. Carlsson
2010	J	`jnl`	Probability of Repeating Patterns in Simultaneous Neural Data. Neural Comput. Anne C. Smith, Vinh Kha Nguyen, Mattias P. Karlsson, Loren M. Frank, Peter Smith
2007	—	`conf`	Topological maps from signals. GIS Yu. Dabaghian, Anthony G. Cohn, Loren M. Frank
2004	J	`jnl`	Dynamic Analyses of Information Encoding in Neural Ensembles. Neural Comput. Riccardo Barbieri, Loren M. Frank, David P. Nguyen, Michael C. Quirk, Victor Solo, Matthew A. Wilson, Emery N. Brown
2004	J	`jnl`	Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering. Neural Comput. Uri T. Eden, Loren M. Frank, Riccardo Barbieri, Victor Solo, Emery N. Brown
2002	J	`jnl`	Construction and analysis of non-Gaussian spatial models of neural spiking activity. Neurocomputing Riccardo Barbieri, Loren M. Frank, Michael C. Quirk, Victor Solo, Matthew A. Wilson, Emery N. Brown
2002	J	`jnl`	The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis. Neural Comput. Emery N. Brown, Riccardo Barbieri, Valérie Ventura, Robert E. Kass, Loren M. Frank
2001	J	`jnl`	Diagnostic methods for statistical models of place cell spiking activity. Neurocomputing Riccardo Barbieri, Loren M. Frank, Michael C. Quirk, Matthew A. Wilson, Emery N. Brown
2000	J	`jnl`	A time-dependent analysis of spatial information encoding in the rat hippocampus. Neurocomputing Riccardo Barbieri, Loren M. Frank, Michael C. Quirk, Matthew A. Wilson, Emery N. Brown