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2020 – today
- 2024
[j41]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): 251-263 (2024)- [i3]Quan Do, Thomas M. Morin, Chantal E. Stern, Michael E. Hasselmo:
A Feature-based Generalizable Prediction Model for Both Perceptual and Abstract Reasoning. CoRR abs/2403.05641 (2024) - 2023
- [j40]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): 514-530 (2023) - [i2]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 abs/2306.04736 (2023) - 2022
- [i1]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 abs/2203.06250 (2022) - 2020
- [j39]Stephen Hausler, Zetao Chen, Michael E. Hasselmo, Michael Milford:
Bio-inspired multi-scale fusion. Biol. Cybern. 114(2): 209-229 (2020) - [j38]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): 1455-1465 (2020)
2010 – 2019
- 2019
- [j37]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): 1271-1289 (2019) - [c10]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: 848-853 - 2018
- [j36]Henghui Zhu, Ioannis Ch. Paschalidis, Michael E. Hasselmo:
Neural circuits for learning context-dependent associations of stimuli. Neural Networks 107: 48-60 (2018) - [j35]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) - 2017
- [c9]Henghui Zhu, Ioannis Ch. Paschalidis, Michael E. Hasselmo:
Feature extraction in Q-learning using neural networks. CDC 2017: 3330-3335 - 2015
- [j34]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: 386-396 (2015) - [j33]Zetao Chen, Stephanie M. Lowry, Adam Jacobson, Michael E. Hasselmo, Michael Milford:
Bio-inspired homogeneous multi-scale place recognition. Neural Networks 72: 48-61 (2015) - [j32]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) - 2014
- [j31]Michael E. Hasselmo, Chantal E. Stern:
Theta rhythm and the encoding and retrieval of space and time. NeuroImage 85: 656-666 (2014) - [c8]Zetao Chen, Adam Jacobson, Ugur M. Erdem, Michael E. Hasselmo, Michael Milford:
Multi-scale bio-inspired place recognition. ICRA 2014: 1895-1901 - 2013
- [j30]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): 59-71 (2013) - 2012
- [j29]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): 475-493 (2012) - [j28]Florian Raudies, Michael E. Hasselmo:
Modeling Boundary Vector Cell Firing Given Optic Flow as a Cue. PLoS Comput. Biol. 8(6) (2012) - 2011
- [j27]Vassilis Cutsuridis, Michael E. Hasselmo:
Spatial Memory Sequence Encoding and Replay During Modeled Theta and Ripple Oscillations. Cogn. Comput. 3(4): 554-574 (2011) - [j26]Michael E. Hasselmo:
A Handbook for Modeling Hippocampal Circuits. Frontiers Comput. Neurosci. 5: 2 (2011) - [j25]Michael E. Hasselmo:
Models of hippocampus. Scholarpedia 6(5): 1371 (2011) - [c7]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: 3141-3148 - 2010
- [c6]Vassilis Cutsuridis, Michael E. Hasselmo:
Dynamics and Function of a CA1 Model of the Hippocampus during Theta and Ripples. ICANN (1) 2010: 230-240
2000 – 2009
- 2009
- [j24]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): 3305-3334 (2009) - [j23]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): 1129-1138 (2009) - [j22]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) - 2008
- [j21]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: 6 (2008) - [j20]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): 276-288 (2008) - 2007
- [j19]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) - [c5]Randal A. Koene, Michael E. Hasselmo:
A reversing buffer mechanism that enables instances of retrospective activity in hippocampal regions CA3 and CA1. IJCNN 2007: 1401-1406 - [c4]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: 28-37 - 2005
- [j18]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): 145-164 (2005) - [j17]Anatoli Gorchetchnikov, Michael E. Hasselmo:
A simple rule for spike-timing-dependent plasticity: local influence of AHP current. Neurocomputing 65-66: 885-890 (2005) - [j16]Michael E. Hasselmo:
A Model of Prefrontal Cortical Mechanisms for Goal-directed Behavior. J. Cogn. Neurosci. 17(7): 1115-1129 (2005) - [j15]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): 458-466 (2005) - [j14]Michael E. Hasselmo, Howard Eichenbaum:
Hippocampal mechanisms for the context-dependent retrieval of episodes. Neural Networks 18(9): 1172-1190 (2005) - 2003
- [j13]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): 3-42 (2003) - [j12]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): 519 (2003) - [j11]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): 577-584 (2003) - 2002
- [j10]Anatoli Gorchetchnikov, Michael E. Hasselmo:
A model of hippocampal circuitry mediating goal-driven navigation in a familiar environment. Neurocomputing 44-46: 423-427 (2002) - [j9]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): 793-817 (2002) - [j8]Kenji Doya, Peter Dayan, Michael E. Hasselmo:
Introduction for 2002 Special Issue: Computational Models of Neuromodulation. Neural Networks 15(4-6): 475-477 (2002) - [j7]Michael E. Hasselmo, Jonathan Hay, Maxim Ilyn, Anatoli Gorchetchnikov:
Neuromodulation, theta rhythm and rat spatial navigation. Neural Networks 15(4-6): 689-707 (2002) - 2001
- [j6]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 38-40: 601-606 (2001) - [j5]Michael E. Hasselmo, Ajay Kapur, Bradley P. Wyble:
Theta rhythm oscillations and sequence encoding in the hippocampus. Neurocomputing 38-40: 633-640 (2001)
1990 – 1999
- 1999
- [j4]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 26-27: 375-380 (1999) - 1998
- [j3]Vikaas S. Sohal, Michael E. Hasselmo:
Changes in GABAB Modulation During a Theta Cycle May Be Analogous to the Fall of Temperature During Annealing. Neural Comput. 10(4): 869-882 (1998) - 1996
- [e1]David S. Touretzky, Michael Mozer, Michael E. Hasselmo:
Advances in Neural Information Processing Systems 8, NIPS, Denver, CO, USA, November 27-30, 1995. MIT Press 1996, ISBN 0-262-20107-0 [contents] - 1995
- [c3]Michael E. Hasselmo, Milos Cekic:
Cholinergic suppression of transmission may allow combined associative memory function and self-organization in the neocortex. NIPS 1995: 131-137 - 1994
- [j2]Michael E. Hasselmo:
Runaway synaptic modification in models of cortex: Implications for Alzheimer's disease. Neural Networks 7(1): 13-40 (1994) - [c2]Michael E. Hasselmo, Eric Schnell, Joshua Berke, Edi Barkai:
A model of the hippocampus combibing self-organization and associative memory function. NIPS 1994: 77-84 - 1993
- [j1]Michael E. Hasselmo:
Acetylcholine and Learning in a Cortical Associative Memory. Neural Comput. 5(1): 32-44 (1993) - 1990
- [c1]Michael E. Hasselmo, Brooke P. Anderson, James M. Bower:
Cholinergic Modulation May Enhance Cortical Associative Memory Function. NIPS 1990: 46-52
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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