 | 2009 |
|---|
| 12 |       | Yukihiro Tsuboshita,
Hiroshi Okamoto:
Graded information extraction by neural-network dynamics with multihysteretic neurons.
Neural Networks 22(7): 922-930 (2009) |
| 2007 |
|---|
| 11 | | Yukihiro Tsuboshita,
Hiroshi Okamoto:
Context-dependent retrieval of information by neural-network dynamics with continuous attractors.
Neural Networks 20(6): 705-713 (2007) |
| 2006 |
|---|
| 10 | | Yutaka Sakai,
Hiroshi Okamoto,
Tomoki Fukai:
Computational algorithms and neuronal network models underlying decision processes.
Neural Networks 19(8): 1091-1105 (2006) |
| 2005 |
|---|
| 9 | | Yukihiro Tsuboshita,
Hiroshi Okamoto:
Information Retrieval Based on a Neural-Network System with Multi-stable Neurons.
ICANN (2) 2005: 865-872 |
| 2004 |
|---|
| 8 | | Hiroshi Okamoto,
Tomoki Fukai:
Propagation of quasi-stable activation in a chain of recurrent neural networks.
Neurocomputing 58-60: 235-238 (2004) |
| 2003 |
|---|
| 7 | | Katsunori Kitano,
Hiroshi Okamoto,
Tomoki Fukai:
Time representing cortical activities: two models inspired by prefrontal persistent activity.
Biological Cybernetics 88(5): 387-394 (2003) |
| 6 | | Hiroshi Okamoto,
Tomoki Fukai:
Neural bases of accumulator models.
Neurocomputing 52-54: 285-288 (2003) |
| 2001 |
|---|
| 5 | | Hiroshi Okamoto,
Tomoki Fukai:
On experimental predictions from a model for a neural mechanism of internal timer.
Neurocomputing 38-40: 1489-1493 (2001) |
| 2000 |
|---|
| 4 | | Hiroshi Okamoto,
Tomoki Fukai:
A model for neural representation of intervals of time.
Neurocomputing 32-33: 935-939 (2000) |
| 1999 |
|---|
| 3 | | Yukifumi Shigematsu,
Hiroshi Okamoto,
Kazuhisa Ichikawa,
Gen Matsumoto:
Temporal Event Association and Output-Dependent Learning: A Proposed Scheme of Neural Molecular Connections.
JACIII 3(4): 234-244 (1999) |
| 1998 |
|---|
| 2 |  | Hiroshi Okamoto,
Kazuhisa Ichikawa:
A Model for Synaptic Competition for a Finite Resource.
ICONIP 1998: 1517-1520 |
| 1997 |
|---|
| 1 | | Masayoshi Naito,
Naoki Tanaka,
Hiroshi Okamoto:
Distinguishing chaos from random fractal sequences by the comparison of forward and backward predictions: utilization of the difference in time reversal symmetry of time series.
KES (1) 1997: 101-107 |
