Michael E. Hasselmo

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 12

Top Topics

Episodic Memory

Reinforcement Learning

Top Venues

J. Cogn. Neurosci.

PLoS Comput. Biol.

Publications

Quan Do, Thomas M. Morin, Chantal E. Stern, Michael E. Hasselmo
A Feature-based Generalizable Prediction Model for Both Perceptual and Abstract Reasoning. CoRR (2024)
Vittorio Giammarino, Matthew F. Dunne, Kylie N. Moore, Michael E. Hasselmo, Chantal E. Stern, Ioannis Ch. Paschalidis
Combining imitation and deep reinforcement learning to human-level performance on a virtual foraging task. Adapt. Behav. 32 (3) (2024)
Mahir Patel, Lucas C. Carstensen, Yiwen Gu, Michael E. Hasselmo, Margrit Betke
BU-CVKit: Extendable Computer Vision Framework for Species Independent Tracking and Analysis. CoRR (2023)
Mahir Patel, Yiwen Gu, Lucas C. Carstensen, Michael E. Hasselmo, Margrit Betke
Animal Pose Tracking: 3D Multimodal Dataset and Token-based Pose Optimization. Int. J. Comput. Vis. 131 (2) (2023)
Vittorio Giammarino, Matthew F. Dunne, Kylie N. Moore, Michael E. Hasselmo, Chantal E. Stern, Ioannis Ch. Paschalidis
Learning from humans: combining imitation and deep reinforcement learning to accomplish human-level performance on a virtual foraging task. CoRR (2022)
Yue Liu, Scott L. Brincat, Earl K. Miller, Michael E. Hasselmo
A Geometric Characterization of Population Coding in the Prefrontal Cortex and Hippocampus during a Paired-Associate Learning Task. J. Cogn. Neurosci. 32 (8) (2020)
Stephen Hausler, Zetao Chen, Michael E. Hasselmo, Michael Milford
Bio-inspired multi-scale fusion. Biol. Cybern. 114 (2) (2020)
Henghui Zhu, Ioannis Ch. Paschalidis, Michael E. Hasselmo
A Hebbian learning algorithm for training a neural circuit to perform context-dependent associations of stimuli. ACC (2019)
Holger Dannenberg, Andrew S. Alexander, Jennifer C. Robinson, Michael E. Hasselmo
The Role of Hierarchical Dynamical Functions in Coding for Episodic Memory and Cognition. J. Cogn. Neurosci. 31 (9) (2019)
Jason S. Sherfey, Salva Ardid, Joachim Hass, Michael E. Hasselmo, Nancy J. Kopell
Flexible resonance in prefrontal networks with strong feedback inhibition. PLoS Comput. Biol. 14 (8) (2018)
Henghui Zhu, Ioannis Ch. Paschalidis, Michael E. Hasselmo
Neural circuits for learning context-dependent associations of stimuli. Neural Networks 107 (2018)
Henghui Zhu, Ioannis Ch. Paschalidis, Michael E. Hasselmo
Feature extraction in Q-learning using neural networks. CDC (2017)
Zetao Chen, Stephanie M. Lowry, Adam Jacobson, Michael E. Hasselmo, Michael Milford
Bio-inspired homogeneous multi-scale place recognition. Neural Networks 72 (2015)
Katherine R. Sherrill, Elizabeth R. Chrastil, Robert S. Ross, Ugur M. Erdem, Michael E. Hasselmo, Chantal E. Stern
Functional connections between optic flow areas and navigationally responsive brain regions during goal-directed navigation. NeuroImage 118 (2015)
Florian Raudies, Michael E. Hasselmo
Differences in Visual-Spatial Input May Underlie Different Compression Properties of Firing Fields for Grid Cell Modules in Medial Entorhinal Cortex. PLoS Comput. Biol. 11 (11) (2015)
Michael E. Hasselmo, Chantal E. Stern
Theta rhythm and the encoding and retrieval of space and time. NeuroImage 85 (2014)
Zetao Chen, Adam Jacobson, Ugur M. Erdem, Michael E. Hasselmo, Michael Milford
Multi-scale bio-inspired place recognition. ICRA (2014)
Jan R. Engelbrecht, Kristen Loncich, Renato Mirollo, Michael E. Hasselmo, Motoharu Yoshida
Rhythm-induced spike-timing patterns characterized by 1D firing maps. J. Comput. Neurosci. 34 (1) (2013)
Florian Raudies, Michael E. Hasselmo
Modeling Boundary Vector Cell Firing Given Optic Flow as a Cue. PLoS Comput. Biol. 8 (6) (2012)
Florian Raudies, Ennio Mingolla, Michael E. Hasselmo
Modeling the influence of optic flow on grid cell firing in the absence of other cues1. J. Comput. Neurosci. 33 (3) (2012)
Michael E. Hasselmo
Models of hippocampus. Scholarpedia 6 (5) (2011)
Vassilis Cutsuridis, Bruce P. Graham, Stuart Cobb, Michael E. Hasselmo
Bio-inspired models of memory capacity, recall performance and theta phase precession in the hippocampus. IJCNN (2011)
Vassilis Cutsuridis, Michael E. Hasselmo
Spatial Memory Sequence Encoding and Replay During Modeled Theta and Ripple Oscillations. Cogn. Comput. 3 (4) (2011)
Michael E. Hasselmo
A Handbook for Modeling Hippocampal Circuits. Frontiers Comput. Neurosci. 5 (2011)
Vassilis Cutsuridis, Michael E. Hasselmo
Dynamics and Function of a CA1 Model of the Hippocampus during Theta and Ripples. ICANN (1) (2010)
Yifei Huang, Mark P. Brandon, Amy L. Griffin, Michael E. Hasselmo, Uri T. Eden
Decoding Movement Trajectories Through a T-Maze Using Point Process Filters Applied to Place Field Data from Rat Hippocampal Region CA1. Neural Comput. 21 (12) (2009)
Eric A. Zilli, Motoharu Yoshida, Babak Tahvildari, Lisa M. Giocomo, Michael E. Hasselmo
Evaluation of the Oscillatory Interference Model of Grid Cell Firing through Analysis and Measured Period Variance of Some Biological Oscillators. PLoS Comput. Biol. 5 (11) (2009)
Michael E. Hasselmo, Mark P. Brandon, Motoharu Yoshida, Lisa M. Giocomo, James G. Heys, Erik Fransén, Ehren L. Newman, Eric A. Zilli
A phase code for memory could arise from circuit mechanisms in entorhinal cortex. Neural Networks 22 (8) (2009)
Randal A. Koene, Michael E. Hasselmo
Reversed and forward buffering of behavioral spike sequences enables retrospective and prospective retrieval in hippocampal regions CA3 and CA1. Neural Networks 21 (2-3) (2008)
Eric A. Zilli, Michael E. Hasselmo
Analyses of Markov decision process structure regarding the possible strategic use of interacting memory systems. Frontiers Comput. Neurosci. 2 (2008)
Randal A. Koene, Michael E. Hasselmo
A reversing buffer mechanism that enables instances of retrospective activity in hippocampal regions CA3 and CA1. IJCNN (2007)
Yael Katz, William L. Kath, Nelson Spruston, Michael E. Hasselmo
Coincidence Detection of Place and Temporal Context in a Network Model of Spiking Hippocampal Neurons. PLoS Comput. Biol. 3 (12) (2007)
Michael E. Hasselmo, Lisa M. Giocomo, Mark P. Brandon, Motoharu Yoshida
Mechanisms for Memory-Guided Behavior Involving Persistent Firing and Theta Rhythm Oscillations in the Entorhinal Cortex. Summer School on Neural Networks (2007)
Anatoli Gorchetchnikov, Massimiliano Versace, Michael E. Hasselmo
A model of STDP based on spatially and temporally local information: Derivation and combination with gated decay. Neural Networks 18 (5-6) (2005)
Michael E. Hasselmo, Howard Eichenbaum
Hippocampal mechanisms for the context-dependent retrieval of episodes. Neural Networks 18 (9) (2005)
Michael E. Hasselmo
A Model of Prefrontal Cortical Mechanisms for Goal-directed Behavior. J. Cogn. Neurosci. 17 (7) (2005)
Anatoli Gorchetchnikov, Michael E. Hasselmo
A simple rule for spike-timing-dependent plasticity: local influence of AHP current. Neurocomputing (2005)
Anatoli Gorchetchnikov, Michael E. Hasselmo
A biophysical implementation of a bidirectional graph search algorithm to solve multiple goal navigation tasks. Connect. Sci. 17 (1-2) (2005)
Randal A. Koene, Anatoli Gorchetchnikov, Robert C. Cannon, Michael E. Hasselmo
Modeling goal-directed spatial navigation in the rat based on physiological data from the hippocampal formation. Neural Networks 16 (5-6) (2003)
Robert C. Cannon, Michael E. Hasselmo, Randal A. Koene
From biophysics to behavior - Catacomb2 and the design of biologically-plausible models for spatial navigation. Neuroinformatics 1 (1) (2003)
Donald C. Wunsch II, Michael E. Hasselmo, DeLiang L. Wang, Ganesh K. Venayagamoorthy
Welcome to the special issue: the best of the best. Neural Networks 16 (5-6) (2003)
Michael E. Hasselmo, Clara Bodelón, Bradley P. Wyble
A Proposed Function for Hippocampal Theta Rhythm: Separate Phases of Encoding and Retrieval Enhance Reversal of Prior Learning. Neural Comput. 14 (4) (2002)
Anatoli Gorchetchnikov, Michael E. Hasselmo
A model of hippocampal circuitry mediating goal-driven navigation in a familiar environment. Neurocomputing (2002)
Michael E. Hasselmo, Jonathan Hay, Maxim Ilyn, Anatoli Gorchetchnikov
Neuromodulation, theta rhythm and rat spatial navigation. Neural Networks 15 (4-6) (2002)
Kenji Doya, Peter Dayan, Michael E. Hasselmo
Introduction for 2002 Special Issue: Computational Models of Neuromodulation. Neural Networks 15 (4-6) (2002)
Michael E. Hasselmo, Ajay Kapur, Bradley P. Wyble
Theta rhythm oscillations and sequence encoding in the hippocampus. Neurocomputing (2001)
Erik Fransén, Angel A. Alonso, Michael E. Hasselmo
Entorhinal neuronal activity during delayed matching tasks may depend upon muscarinic-induced non-specific cation current I(CANM). Neurocomputing (2001)
Erik Fransén, Gene V. Wallenstein, Angel A. Alonso, Clayton T. Dickson, Michael E. Hasselmo
A biophysical simulation of intrinsic and network properties of entorhinal cortex. Neurocomputing (1999)
Vikaas S. Sohal, Michael E. Hasselmo
Modulation During a Theta Cycle May Be Analogous to the Fall of Temperature During Annealing. Neural Comput. 10 (4) (1998)
Michael E. Hasselmo, Milos Cekic
Cholinergic suppression of transmission may allow combined associative memory function and self-organization in the neocortex. NIPS (1995)
Michael E. Hasselmo
Runaway synaptic modification in models of cortex: Implications for Alzheimer's disease. Neural Networks 7 (1) (1994)
Michael E. Hasselmo, Eric Schnell, Joshua Berke, Edi Barkai
A model of the hippocampus combibing self-organization and associative memory function. NIPS (1994)
Michael E. Hasselmo
Acetylcholine and Learning in a Cortical Associative Memory. Neural Comput. 5 (1) (1993)
Michael E. Hasselmo, Brooke P. Anderson, James M. Bower
Cholinergic Modulation May Enhance Cortical Associative Memory Function. NIPS (1990)