「Tamagawa-COE International Symposium on Attention and Decision」
<< Session 1>>
(1) |
Perceptual learning without perception is not passive (Boston
University, Takeo Watanabe) |
(2) |
On the interactions of attention, learning and stimulus coding
(Leuven University, Rufin Vogels) |
(3) |
Visual selective attention and the linkage of sensory to motor
representations in the activity of macaque posterior parietal cortex
neurons (University of Verona, Leonardo Chelazzi) |
(4) |
Interaction between bottom-up and top-down attention mechanisms
in area V4 of the monkey (National Institute Physiological Sciences,
Hidehiko Komatsu) |
<< Session 2>>
|
Subcortical structures with distinct contributions to the control
of spatial attention (University of Tubingen, Peter Thier) |
(6) |
Visual selection, saccade planning, and the neural basis of covert
spatial attention (Stanford University, Tirin Moore) |
(7) |
Gaze and preference: eye orienting as somatic precursor of emotional
judgment (Caltech, Shinsuke Shimojo) |
<< Session 3>>
|
Where tactile stimuli are ordered in time (Juntendo University,
Shigeru Kitazawa) |
(9) |
Cross-modal plasticity and integration:functional MRI studies
(National Institute Physiological Sciences, Norihiro Sadato) |
(10) |
Suppresion of sensory information used for decisions during the
attentional blink (Cuban Center for Neuroscience, Mitchell Valdes-Sosa) |
Thursday, May 20th
<< Session 4>>
|
Stereopsis and the temporal lobe areas (Osaka University, Ichiro
Fujita) |
(12) |
Neural mechanisms for spatial vision (Nihon University, Masato
Taira) |
(13) |
Parietal mechanisms for mentalizing meaningful actions of self
and others in monkeys Atsushi Iriki (RIKEN, Wako) |
(14) |
TMS studies of fronto-parietal interactions in hemispatial attention
(Harvard University, Alvaro Pascual-Leone) |
<< Session 5>>
|
Goal-based action selection in the medial prefrontal cortex (RIKEN,
Keiji Tanaka) |
(16) |
The role of the frontal cortex in decision making and task control
(Oxford Univeristy, Matthew Rushworth) |
(17) |
Neurons in the anterior cingulate cortex of macaque monkeys activated
during selection of GO/NOGO behavior based on reward or aversive
stimulation (Kyoto University Primate Research Institute, Akichika
Mikami) |
(18) |
Neural network dynamics underlying decision process (Tamagawa
University, Tomoki Fukai) |
<< Session 6>>
|
Multisynaptic inputs from prefrontal cortex to primary motor cortex
as revealed by retrograde transneuronal labeling of rabies virus
(Tokyo Metropolitan Institute for Neuroscience, Masahiko Takada) |
|
Neuronal coding of attention, dicision, and response-outcome in
the prefrontal cortex:"intra-brain operating system" concept
(Hokkaido University, Toshiyuki Sawaguchi) |
(21) |
Prefrontal contribution to the decision process of the saccade
direction (Kyoto University, Shintaro Funahashi) |
(22) |
Region-selective activity in the dorsolateral prefrontal cortex
of monkeys (Tohoku University, Jun Tanji) |
<< Session 7>>
|
The response of lateral prefrontal neurons to the visual simuli
in paired associate task (Oxford University, Makoto Kusunoki) |
|
Competition between relevant and irrelevant stimulus-response
codes in prefrontal cortex (Tamagawa University, Masamichi Sakagami) |
(25) |
Decomposing Wisconsin Card Sorting Task - Neural basis of cognitive
set shifting in the human prefrontal cortex revealed by event-related
fMRI (University of Tokyo, Seiki Konishi) |
(26) |
Prefrontal control for task set (University of Tokyo, Katsuyuki
Sakai) |
Friday, May 21st << Session 8>>
|
Integration of executive and motivational operations in the lateral
prefrontal cortex (Tokyo Metropolitan Institute for Neuroscience,
Masataka Watanabe) |
|
Prefrontal cortex and decision making during a strictly competitive
game (University of Rochester, Daeyeol Lee) |
(29) |
Coding of prediction and uncertainty by reward neurons (Cambridge
University, Wolfram Schultz) |
<< Session 9>>
|
fMRI studies of attention and awareness (Medical Research Council,
John Duncan) |
|
Computational-model-based imaging studies of decision learning
(ATR International, Mitsuo Kawato) |
(32) |
How the basal ganglia realize reinforcement learning (Okinawa
Institute of Science and Technology, Kenji Doya) |
|