Loren M. Frank

Publication Activity (10 Years)

Years Active: 2000-2021
Publications (10 Years): 6

Top Topics

Gaussian Mixture

Video Recordings

Hierarchical Data

Persistent Homology

Top Venues

Publications

John Hermiz, Elias Joseph, Kyu Hyun Lee, Isabella A. Baldacci, Jason E. Chung, Loren M. Frank, Kristofer E. Bouchard, Peter Denes
The impact of reducing signal acquisition specifications on neuronal spike sorting. EMBC (2021)
Eric L. Denovellis, Loren M. Frank, Uri T. Eden
Characterizing hippocampal replay using hybrid point process state space models. ACSSC (2019)
Ali Yousefi, Anna K. Gillespie, Jennifer A. Guidera, Mattias P. Karlsson, Loren M. Frank, Uri T. Eden
Efficient Decoding of Multi-Dimensional Signals From Population Spiking Activity Using a Gaussian Mixture Particle Filter. IEEE Trans. Biomed. Eng. 66 (12) (2019)
Andrew J. Tritt, Oliver Rübel, Benjamin K. Dichter, Ryan Ly, Donghe Kang, Edward F. Chang, Loren M. Frank, Kristofer E. Bouchard
HDMF: Hierarchical Data Modeling Framework for Modern Science Data Standards. IEEE BigData (2019)
Mohammad R. Rezaei, Anna K. Gillespie, Jennifer A. Guidera, Behzad Nazari, Saeid Sadri, Loren M. Frank, Uri T. Eden, Ali Yousefi
A Comparison Study of Point-Process Filter and Deep Learning Performance in Estimating Rat Position Using an Ensemble of Place Cells. EMBC (2018)
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
International Neuroscience Initiatives through the Lens of High-Performance Computing. Computer 51 (4) (2018)
Xinyi Deng, Daniel F. Liu, Kenneth Kay, Loren M. Frank, Uri T. Eden
Clusterless Decoding of Position from Multiunit Activity Using a Marked Point Process Filter. Neural Comput. 27 (7) (2015)
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
Towards a large-scale recording system: Demonstration of polymer-based penetrating array for chronic neural recording. EMBC (2014)
Yu. Dabaghian, Facundo Mémoli, Loren M. Frank, Gunnar E. Carlsson
A Topological Paradigm for Hippocampal Spatial Map Formation Using Persistent Homology. PLoS Comput. Biol. 8 (8) (2012)
Anne C. Smith, Vinh Kha Nguyen, Mattias P. Karlsson, Loren M. Frank, Peter Smith
Probability of Repeating Patterns in Simultaneous Neural Data. Neural Comput. 22 (10) (2010)
Yu. Dabaghian, Anthony G. Cohn, Loren M. Frank
Topological maps from signals. GIS (2007)
Riccardo Barbieri, Loren M. Frank, David P. Nguyen, Michael C. Quirk, Victor Solo, Matthew A. Wilson, Emery N. Brown
Dynamic Analyses of Information Encoding in Neural Ensembles. Neural Comput. 16 (2) (2004)
Uri T. Eden, Loren M. Frank, Riccardo Barbieri, Victor Solo, Emery N. Brown
Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering. Neural Comput. 16 (5) (2004)
Emery N. Brown, Riccardo Barbieri, Valérie Ventura, Robert E. Kass, Loren M. Frank
The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis. Neural Comput. 14 (2) (2002)
Riccardo Barbieri, Loren M. Frank, Michael C. Quirk, Victor Solo, Matthew A. Wilson, Emery N. Brown
Construction and analysis of non-Gaussian spatial models of neural spiking activity. Neurocomputing (2002)
Riccardo Barbieri, Loren M. Frank, Michael C. Quirk, Matthew A. Wilson, Emery N. Brown
Diagnostic methods for statistical models of place cell spiking activity. Neurocomputing (2001)
Riccardo Barbieri, Loren M. Frank, Michael C. Quirk, Matthew A. Wilson, Emery N. Brown
A time-dependent analysis of spatial information encoding in the rat hippocampus. Neurocomputing (2000)