Michael E. Hasselmo

66 papers A* 1B 9C 1Journal 47Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bifurcation of spiking oscillations from a center in resonate-and-fire neurons. Biol. Cybern. Oleg Makarenkov, Marianne Bezaire, Michael E. Hasselmo
2026	J	`jnl`	Exploring Human Behavior During Abstract Rule Inference and Problem Solving with the Cognitive Abstraction and Reasoning Corpus. CoRR Caroline Ahn, Quan Do, Leah Bakst, Michael Pascale, Joseph T. McGuire, Michael E. Hasselmo, Chantal E. Stern
2025	J	`jnl`	From Priors to Predictions: Explaining and Visualizing Human Reasoning in a Graph Neural Network Framework. CoRR Quan Do, Caroline Ahn, Leah Bakst, Michael Pascale, Joseph T. McGuire, Chantal E. Stern, Michael E. Hasselmo
2024	J	`jnl`	A Feature-based Generalizable Prediction Model for Both Perceptual and Abstract Reasoning. CoRR Quan Do, Thomas M. Morin, Chantal E. Stern, Michael E. Hasselmo
2024	J	`jnl`	Combining imitation and deep reinforcement learning to human-level performance on a virtual foraging task. Adapt. Behav. Vittorio Giammarino, Matthew F. Dunne, Kylie N. Moore, Michael E. Hasselmo, Chantal E. Stern, Ioannis Ch. Paschalidis
2024	—	`conf`	Self-Supervised Mapping and Localization by Predictive Learning. ICONS G. William Chapman, Andrew S. Alexander, Frances S. Chance, Michael E. Hasselmo
2023	J	`jnl`	Animal Pose Tracking: 3D Multimodal Dataset and Token-based Pose Optimization. Int. J. Comput. Vis. Mahir Patel, Yiwen Gu, Lucas C. Carstensen, Michael E. Hasselmo, Margrit Betke
2023	J	`jnl`	BU-CVKit: Extendable Computer Vision Framework for Species Independent Tracking and Analysis. CoRR Mahir Patel, Lucas C. Carstensen, Yiwen Gu, Michael E. Hasselmo, Margrit Betke
2022	J	`jnl`	Learning from humans: combining imitation and deep reinforcement learning to accomplish human-level performance on a virtual foraging task. CoRR Vittorio Giammarino, Matthew F. Dunne, Kylie N. Moore, Michael E. Hasselmo, Chantal E. Stern, Ioannis Ch. Paschalidis
2020	J	`jnl`	A Geometric Characterization of Population Coding in the Prefrontal Cortex and Hippocampus during a Paired-Associate Learning Task. J. Cogn. Neurosci. Yue Liu, Scott L. Brincat, Earl K. Miller, Michael E. Hasselmo
2020	J	`jnl`	Bio-inspired multi-scale fusion. Biol. Cybern. Stephen Hausler, Zetao Chen, Michael E. Hasselmo, Michael Milford
2019	C	`conf`	A Hebbian learning algorithm for training a neural circuit to perform context-dependent associations of stimuli. ACC Henghui Zhu, Ioannis Ch. Paschalidis, Michael E. Hasselmo
2019	J	`jnl`	The Role of Hierarchical Dynamical Functions in Coding for Episodic Memory and Cognition. J. Cogn. Neurosci. Holger Dannenberg, Andrew S. Alexander, Jennifer C. Robinson, Michael E. Hasselmo
2018	J	`jnl`	Flexible resonance in prefrontal networks with strong feedback inhibition. PLoS Comput. Biol. Jason S. Sherfey, Salva Ardid, Joachim Hass, Michael E. Hasselmo, Nancy J. Kopell
2018	J	`jnl`	Neural circuits for learning context-dependent associations of stimuli. Neural Networks Henghui Zhu, Ioannis Ch. Paschalidis, Michael E. Hasselmo
2017	—	`conf`	Feature extraction in Q-learning using neural networks. CDC Henghui Zhu, Ioannis Ch. Paschalidis, Michael E. Hasselmo
2015	J	`jnl`	Bio-inspired homogeneous multi-scale place recognition. Neural Networks Zetao Chen, Stephanie M. Lowry, Adam Jacobson, Michael E. Hasselmo, Michael Milford
2015	J	`jnl`	Differences in Visual-Spatial Input May Underlie Different Compression Properties of Firing Fields for Grid Cell Modules in Medial Entorhinal Cortex. PLoS Comput. Biol. Florian Raudies, Michael E. Hasselmo
2015	J	`jnl`	Functional connections between optic flow areas and navigationally responsive brain regions during goal-directed navigation. NeuroImage Katherine R. Sherrill, Elizabeth R. Chrastil, Robert S. Ross, Ugur M. Erdem, Michael E. Hasselmo, Chantal E. Stern
2014	A*	`conf`	Multi-scale bio-inspired place recognition. ICRA Zetao Chen, Adam Jacobson, Ugur M. Erdem, Michael E. Hasselmo, Michael Milford
2014	J	`jnl`	Theta rhythm and the encoding and retrieval of space and time. NeuroImage Michael E. Hasselmo, Chantal E. Stern
2013	J	`jnl`	Rhythm-induced spike-timing patterns characterized by 1D firing maps. J. Comput. Neurosci. Jan R. Engelbrecht, Kristen Loncich, Renato Mirollo, Michael E. Hasselmo, Motoharu Yoshida
2012	J	`jnl`	Modeling Boundary Vector Cell Firing Given Optic Flow as a Cue. PLoS Comput. Biol. Florian Raudies, Michael E. Hasselmo
2012	J	`jnl`	Modeling the influence of optic flow on grid cell firing in the absence of other cues1. J. Comput. Neurosci. Florian Raudies, Ennio Mingolla, Michael E. Hasselmo
2011	J	`jnl`	A Handbook for Modeling Hippocampal Circuits. Frontiers Comput. Neurosci. Michael E. Hasselmo
2011	B	`conf`	Bio-inspired models of memory capacity, recall performance and theta phase precession in the hippocampus. IJCNN Vassilis Cutsuridis, Bruce P. Graham, Stuart Cobb, Michael E. Hasselmo
2011	J	`jnl`	Models of hippocampus. Scholarpedia Michael E. Hasselmo
2011	J	`jnl`	Spatial Memory Sequence Encoding and Replay During Modeled Theta and Ripple Oscillations. Cogn. Comput. Vassilis Cutsuridis, Michael E. Hasselmo
2010	—	`conf`	Dynamics and Function of a CA1 Model of the Hippocampus during Theta and Ripples. ICANN (1) Vassilis Cutsuridis, Michael E. Hasselmo
2009	J	`jnl`	A phase code for memory could arise from circuit mechanisms in entorhinal cortex. Neural Networks Michael E. Hasselmo, Mark P. Brandon, Motoharu Yoshida, Lisa M. Giocomo, James G. Heys, Erik Fransén, Ehren L. Newman, Eric A. Zilli
2009	J	`jnl`	Decoding Movement Trajectories Through a T-Maze Using Point Process Filters Applied to Place Field Data from Rat Hippocampal Region CA1. Neural Comput. Yifei Huang, Mark P. Brandon, Amy L. Griffin, Michael E. Hasselmo, Uri T. Eden
2009	J	`jnl`	Evaluation of the Oscillatory Interference Model of Grid Cell Firing through Analysis and Measured Period Variance of Some Biological Oscillators. PLoS Comput. Biol. Eric A. Zilli, Motoharu Yoshida, Babak Tahvildari, Lisa M. Giocomo, Michael E. Hasselmo
2008	J	`jnl`	Analyses of Markov decision process structure regarding the possible strategic use of interacting memory systems. Frontiers Comput. Neurosci. Eric A. Zilli, Michael E. Hasselmo
2008	J	`jnl`	Reversed and forward buffering of behavioral spike sequences enables retrospective and prospective retrieval in hippocampal regions CA3 and CA1. Neural Networks Randal A. Koene, Michael E. Hasselmo
2007	B	`conf`	A reversing buffer mechanism that enables instances of retrospective activity in hippocampal regions CA3 and CA1. IJCNN Randal A. Koene, Michael E. Hasselmo
2007	J	`jnl`	Coincidence Detection of Place and Temporal Context in a Network Model of Spiking Hippocampal Neurons. PLoS Comput. Biol. Yael Katz, William L. Kath, Nelson Spruston, Michael E. Hasselmo
2007	—	`conf`	Mechanisms for Memory-Guided Behavior Involving Persistent Firing and Theta Rhythm Oscillations in the Entorhinal Cortex. Summer School on Neural Networks Michael E. Hasselmo, Lisa M. Giocomo, Mark P. Brandon, Motoharu Yoshida
2005	J	`jnl`	A Model of Prefrontal Cortical Mechanisms for Goal-directed Behavior. J. Cogn. Neurosci. Michael E. Hasselmo
2005	J	`jnl`	A biophysical implementation of a bidirectional graph search algorithm to solve multiple goal navigation tasks. Connect. Sci. Anatoli Gorchetchnikov, Michael E. Hasselmo
2005	J	`jnl`	A model of STDP based on spatially and temporally local information: Derivation and combination with gated decay. Neural Networks Anatoli Gorchetchnikov, Massimiliano Versace, Michael E. Hasselmo
2005	J	`jnl`	A simple rule for spike-timing-dependent plasticity: local influence of AHP current. Neurocomputing Anatoli Gorchetchnikov, Michael E. Hasselmo
2005	B	`conf`	An integrate and fire model of prefrontal cortex provides a biological implementation of action selection in reinforcement learning theory that reuses known representations. IJCNN Randal A. Koene, Michael E. Hasselmo
2005	B	`conf`	Hebbian synaptic modification in cortical circuits and memory-guided behavior in spatial alternation and delayed non-match to position. IJCNN Michael E. Hasselmo, Eric A. Zilli
2005	J	`jnl`	Hippocampal mechanisms for the context-dependent retrieval of episodes. Neural Networks Michael E. Hasselmo, Howard Eichenbaum
2005	B	`conf`	Spatially and temporally local spike-timing-dependent plasticity rule. IJCNN Anatoli Gorchetchnikov, Massimiliano Versace, Michael E. Hasselmo
2004	B	`conf`	Hippocampal and prefrontal cortical mechanisms for goal-directed and memory-guided behavior. IJCNN Michael E. Hasselmo
2003	J	`jnl`	From biophysics to behavior - Catacomb2 and the design of biologically-plausible models for spatial navigation. Neuroinformatics Robert C. Cannon, Michael E. Hasselmo, Randal A. Koene
2003	B	`conf`	Goal-directed spatial navigation of the rat depends on phases of theta oscillation in hippocampal circuitry. IJCNN Randal A. Koene, Robert C. Cannon, Michael E. Hasselmo
2003	J	`jnl`	Modeling goal-directed spatial navigation in the rat based on physiological data from the hippocampal formation. Neural Networks Randal A. Koene, Anatoli Gorchetchnikov, Robert C. Cannon, Michael E. Hasselmo
2003	B	`conf`	Theta theory: Requirements for encoding events and task rules explain theta phase relationships in hippocampus and neocortex. IJCNN Michael E. Hasselmo
2003	B	`conf`	Timing of consecutive traveling pulses in a model of entorhinal cortex. IJCNN Anatoli Gorchetchnikov, Michael E. Hasselmo
2003	J	`jnl`	Welcome to the special issue: the best of the best. Neural Networks Donald C. Wunsch II, Michael E. Hasselmo, DeLiang L. Wang, Ganesh K. Venayagamoorthy
2002	J	`jnl`	A Proposed Function for Hippocampal Theta Rhythm: Separate Phases of Encoding and Retrieval Enhance Reversal of Prior Learning. Neural Comput. Michael E. Hasselmo, Clara Bodelón, Bradley P. Wyble
2002	J	`jnl`	A model of hippocampal circuitry mediating goal-driven navigation in a familiar environment. Neurocomputing Anatoli Gorchetchnikov, Michael E. Hasselmo
2002	J	`jnl`	Introduction for 2002 Special Issue: Computational Models of Neuromodulation. Neural Networks Kenji Doya, Peter Dayan, Michael E. Hasselmo
2002	J	`jnl`	Neuromodulation, theta rhythm and rat spatial navigation. Neural Networks Michael E. Hasselmo, Jonathan Hay, Maxim Ilyn, Anatoli Gorchetchnikov
2001	J	`jnl`	Entorhinal neuronal activity during delayed matching tasks may depend upon muscarinic-induced non-specific cation current I(CANM). Neurocomputing Erik Fransén, Angel A. Alonso, Michael E. Hasselmo
2001	J	`jnl`	Theta rhythm oscillations and sequence encoding in the hippocampus. Neurocomputing Michael E. Hasselmo, Ajay Kapur, Bradley P. Wyble
1999	J	`jnl`	A biophysical simulation of intrinsic and network properties of entorhinal cortex. Neurocomputing Erik Fransén, Gene V. Wallenstein, Angel A. Alonso, Clayton T. Dickson, Michael E. Hasselmo
1998	J	`jnl`	Changes in GABA Neural Comput. Vikaas S. Sohal, Michael E. Hasselmo
1996	—	`ed.`	Advances in Neural Information Processing Systems 8, NIPS, Denver, CO, USA, November 27-30, 1995 NIPS David S. Touretzky, Michael Mozer, Michael E. Hasselmo
1995	—	`conf`	Cholinergic suppression of transmission may allow combined associative memory function and self-organization in the neocortex. NIPS Michael E. Hasselmo, Milos Cekic
1994	—	`conf`	A model of the hippocampus combibing self-organization and associative memory function. NIPS Michael E. Hasselmo, Eric Schnell, Joshua Berke, Edi Barkai
1994	J	`jnl`	Runaway synaptic modification in models of cortex: Implications for Alzheimer's disease. Neural Networks Michael E. Hasselmo
1993	J	`jnl`	Acetylcholine and Learning in a Cortical Associative Memory. Neural Comput. Michael E. Hasselmo
1990	—	`conf`	Cholinergic Modulation May Enhance Cortical Associative Memory Function. NIPS Michael E. Hasselmo, Brooke P. Anderson, James M. Bower