Year |
Citation |
Score |
2014 |
Raudies F, Zilli EA, Hasselmo ME. Deep belief networks learn context dependent behavior. Plos One. 9: e93250. PMID 24671178 DOI: 10.1371/Journal.Pone.0093250 |
0.523 |
|
2012 |
Zilli EA. Models of grid cell spatial firing published 2005-2011. Frontiers in Neural Circuits. 6: 16. PMID 22529780 DOI: 10.3389/Fncir.2012.00016 |
0.447 |
|
2010 |
Zilli EA, Hasselmo ME. Coupled noisy spiking neurons as velocity-controlled oscillators in a model of grid cell spatial firing. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 30: 13850-60. PMID 20943925 DOI: 10.1523/Jneurosci.0547-10.2010 |
0.629 |
|
2010 |
Hyman JM, Zilli EA, Paley AM, Hasselmo ME. Working Memory Performance Correlates with Prefrontal-Hippocampal Theta Interactions but not with Prefrontal Neuron Firing Rates. Frontiers in Integrative Neuroscience. 4: 2. PMID 20431726 DOI: 10.3389/Neuro.07.002.2010 |
0.702 |
|
2009 |
Zilli EA, Yoshida M, Tahvildari B, Giocomo LM, Hasselmo ME. Evaluation of the oscillatory interference model of grid cell firing through analysis and measured period variance of some biological oscillators. Plos Computational Biology. 5: e1000573. PMID 19936051 DOI: 10.1371/Journal.Pcbi.1000573 |
0.738 |
|
2009 |
Hasselmo ME, Brandon MP, Yoshida M, Giocomo LM, Heys JG, Fransen E, Newman EL, Zilli EA. A phase code for memory could arise from circuit mechanisms in entorhinal cortex. Neural Networks : the Official Journal of the International Neural Network Society. 22: 1129-38. PMID 19656654 DOI: 10.1016/J.Neunet.2009.07.012 |
0.584 |
|
2008 |
Zilli EA, Hasselmo ME. Analyses of Markov decision process structure regarding the possible strategic use of interacting memory systems. Frontiers in Computational Neuroscience. 2: 6. PMID 19129935 DOI: 10.3389/Neuro.10.006.2008 |
0.569 |
|
2008 |
Zilli EA, Hasselmo ME. The influence of Markov decision process structure on the possible strategic use of working memory and episodic memory. Plos One. 3: e2756. PMID 18648498 DOI: 10.1371/Journal.Pone.0002756 |
0.578 |
|
2008 |
Zilli EA, Hasselmo ME. A model of behavioral treatments for self-mutilation behavior in Lesch-Nyhan syndrome. Neuroreport. 19: 459-62. PMID 18287946 DOI: 10.1097/Wnr.0B013E3282F5F76F |
0.485 |
|
2008 |
Zilli EA, Hasselmo ME. Modeling the role of working memory and episodic memory in behavioral tasks. Hippocampus. 18: 193-209. PMID 17979198 DOI: 10.1002/Hipo.20382 |
0.586 |
|
2007 |
Hasselmo ME, Giocomo LM, Zilli EA. Grid cell firing may arise from interference of theta frequency membrane potential oscillations in single neurons. Hippocampus. 17: 1252-71. PMID 17924530 DOI: 10.1002/Hipo.20374 |
0.734 |
|
2007 |
Giocomo LM, Zilli EA, Fransén E, Hasselmo ME. Temporal frequency of subthreshold oscillations scales with entorhinal grid cell field spacing. Science (New York, N.Y.). 315: 1719-22. PMID 17379810 DOI: 10.1126/Science.1139207 |
0.72 |
|
2007 |
Manns JR, Zilli EA, Ong KC, Hasselmo ME, Eichenbaum H. Hippocampal CA1 spiking during encoding and retrieval: relation to theta phase. Neurobiology of Learning and Memory. 87: 9-20. PMID 16839788 DOI: 10.1016/J.Nlm.2006.05.007 |
0.617 |
|
2006 |
Zilli EA, Hasselmo ME. An analysis of the mean theta phase of population activity in a model of hippocampal region CA1. Network (Bristol, England). 17: 277-97. PMID 17162615 DOI: 10.1080/09548980601028908 |
0.551 |
|
2006 |
Lee I, Griffin AL, Zilli EA, Eichenbaum H, Hasselmo ME. Gradual translocation of spatial correlates of neuronal firing in the hippocampus toward prospective reward locations. Neuron. 51: 639-50. PMID 16950161 DOI: 10.1016/J.Neuron.2006.06.033 |
0.734 |
|
2005 |
Hyman JM, Zilli EA, Paley AM, Hasselmo ME. Medial prefrontal cortex cells show dynamic modulation with the hippocampal theta rhythm dependent on behavior. Hippocampus. 15: 739-49. PMID 16015622 DOI: 10.1002/Hipo.20106 |
0.711 |
|
2005 |
Hasselmo ME, Zilli E. Hebbian synaptic modification in cortical circuits and memory-guided behavior in spatial alternation and delayed non-match to position Proceedings of the International Joint Conference On Neural Networks. 5: 2754-2759. DOI: 10.1109/IJCNN.2005.1556361 |
0.511 |
|
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