2008 |
22 | | Maria Marinaro,
Silvia Scarpetta,
Yoko Yamaguchi:
Dynamic Brain - from Neural Spikes to Behaviors, 12th International Summer School on Neural Networks, Erice, Italy, December 5-12, 2007, Revised Lectures
Springer 2008 |
21 | EE | Colin Molter,
David Colliaux,
Yoko Yamaguchi:
Working memory and spontaneous activity of cell assemblies. A biologically motivated computational model.
IJCNN 2008: 3070-3077 |
20 | EE | Colin Molter,
Yoko Yamaguchi:
Impact of temporal coding of presynaptic entorhinal cortex grid cells on the formation of hippocampal place fields.
Neural Networks 21(2-3): 303-310 (2008) |
2007 |
19 | EE | Maya Dimitrova,
Hiroaki Wagatsuma,
Yoko Yamaguchi:
Design of Web Agents Inspired by Brain Research.
ADBIS Research Communications 2007 |
18 | EE | Yoko Yamaguchi,
Colin Molter,
Zhihua Wu,
Harshavardhan A. Agashe,
Hiroaki Wagatsuma:
A Computational Model of Formation of Grid Field and Theta Phase Precession in the Entorhinal Cells.
ICONIP (1) 2007: 151-159 |
17 | EE | David Colliaux,
Yoko Yamaguchi,
Colin Molter,
Hiroaki Wagatsuma:
Working Memory Dynamics in a Flip-Flop Oscillations Network Model with Milnor Attractor.
ICONIP (1) 2007: 160-169 |
16 | EE | Fumikazu Miwakeichi,
Pedro A. Valdes-Sosa,
Eduardo Aubert-Vazquez,
Jorge Bosch Bayard,
Jobu Watanabe,
Hiroaki Mizuhara,
Yoko Yamaguchi:
Decomposing EEG Data into Space-Time-Frequency Components Using Parallel Factor Analysis and Its Relation with Cerebral Blood Flow.
ICONIP (1) 2007: 802-810 |
15 | EE | Hiroaki Wagatsuma,
Yoko Yamaguchi:
Context-Dependent Adaptive Behavior Generated in the Theta Phase Coding Network.
ICONIP (2) 2007: 177-184 |
14 | EE | Colin Molter,
Yoko Yamaguchi:
Organization of hippocampal place cells by enthorinal cortex grid cells. A functional role for the phase precession mechanism.
IJCNN 2007: 944-949 |
13 | EE | Yoko Yamaguchi:
The Brain Computation Based on Synchronization of Nonlinear Oscillations: On Theta Rhythms in Rat Hippocampus and Human Scalp EEG.
Summer School on Neural Networks 2007: 1-12 |
2006 |
12 | EE | Colin Molter,
Naoyuki Sato,
Utku Salihoglu,
Yoko Yamaguchi:
How Reward Can Induce Reverse Replay of Behavioral Sequences in the Hippocampus.
ICONIP (1) 2006: 1-10 |
11 | EE | Zhihua Wu,
Yoko Yamaguchi:
Conserving total synaptic weight ensures one-trial sequence learning of place fields in the hippocampus.
Neural Networks 19(5): 547-563 (2006) |
10 | EE | Hiroaki Wagatsuma,
Yoko Yamaguchi:
Disambiguation in spatial navigation with theta phase coding.
Neurocomputing 69(10-12): 1228-1232 (2006) |
2004 |
9 | EE | Zhihua Wu,
Yoko Yamaguchi:
Input-dependent learning rule for the memory of spatiotemporal sequences in hippocampal network with theta phase precession.
Biological Cybernetics 90(2): 113-124 (2004) |
8 | EE | Zhihua Wu,
Yoko Yamaguchi:
Input-dependent learning rule for the memory of spatiotemporal sequences in hippocampal network with theta phase precession.
Biological Cybernetics 90(4): 310 (2004) |
7 | EE | Hiroaki Wagatsuma,
Yoko Yamaguchi:
Cognitive Map Formation Through Sequence Encoding by Theta Phase Precession.
Neural Computation 16(12): 2665-2697 (2004) |
2003 |
6 | EE | Emilia I. Barakova,
Tino Lourens,
Yoko Yamaguchi:
Life-Long Learning: Consolidation of Novel Events into Dynamic Memory Representations.
IWANN (1) 2003: 110-117 |
5 | EE | Yoko Yamaguchi:
A theory of hippocampal memory based on theta phase precession.
Biological Cybernetics 89(1): 1-9 (2003) |
4 | EE | Naoyuki Sato,
Yoko Yamaguchi:
Memory Encoding by Theta Phase Precession in the Hippocampal Network.
Neural Computation 15(10): 2379-2397 (2003) |
1998 |
3 | | Yoko Yamaguchi,
Bruce L. McNaughton:
Non-Linear Dynamics Generating Theta Phase Precession in Hippocampal Closed Circuit and Generation of Episodic Memory.
ICONIP 1998: 781-784 |
1996 |
2 | EE | Yutaka Hirakura,
Yoko Yamaguchi,
Hiroshi Shimizu,
Shinichi Nagai:
Dynamic linking among neural oscillators leads to flexible pattern recognition with figure-ground separation.
Neural Networks 9(2): 189-209 (1996) |
1994 |
1 | EE | Yoko Yamaguchi,
Hiroshi Shimizu:
Pattern recognition with figure-ground separation by generation of coherent oscillations.
Neural Networks 7(1): 49-63 (1994) |