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Woochul Choi
Post doc
choiwc1128@kaist.ac.kr
     
 
 

Research Interest

Visual perception and Computational modelling
When sensory system receives an ambiguous signal, human perception often switches between two or more possible interpretations. This perceptual phenomenon is called multistable perception and considered important since this phenomenon links the relationship between the stimulus and sensation of the brain. This perceptional switch is considered important to understand brain functions thus extensively studied, however the complete mechanism of multistable perception is still elusive. To investigate the various feature of multistable perception, we perform psychophysics experiment and simulate the computational model to explore the mechanism. This study will provide an insight into how brain makes a perceptual interpretation based on the external stimulus.

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Min Song
Integrated Ph.D. course
night@kaist.ac.kr
     
 
 

Research Interest

Network Properties & Network simulation
A neural network shows various computational function and activity feature, such as oscillation or synchrony, in different sub-region in brain. However the underlying mechanism of generating these function and feature are not yet clear. The main research interest is on configuring structural mechanism of various feature and function of network using computer simulation.

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Hyeonsu Lee
Ph.D. course
hslee9305@kaist.ac.kr
     
 
 

Research Interest

Memory System simulation
Factors (e.g. Excitability, Oscillation) that affects memory; Efficient storage of information in memory system.

 

Computational Data Analysis
Analysis & Simulation with experimental data; Neural activity pattern analysis.

 

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Youngjin Park
Ph.D. course
(Lab Manager)
yodamaster@kaist.ac.kr
     
 
 

Research Interest

Memory simulation using spike-timing-dependent plasticity (STDP)
Spike-timing-dependent plasticity (STDP) is considered critical to learning and memory. However, specific roles of diverse STDP profiles in memory formation still remain elusive. My research shows that the symmetry of learning rate profile in STDP is crucial to determining memory type, namely long-term and short-term.

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Gwangsu Kim
Integrated Ph.D course
kgspiano@kaist.ac.kr
     
 
 

Research Interest

 

visual system modeling, computational neuroscience, simple/complex cells

 

 

 


 

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Woo Yeon Shin
Integrated Ph.D course
swyeon11@kaist.ac.kr
     
 
 

Research Interest

Modulatory effect of Mesencephalic locomotor region(MLR) through glutamatergic projections to deep subcortical regions. Especially, the effects on exploratory locomotion and perceptual decision making. My research aims to explain the mechanism of brain state change through the role of MLR.

 

 


 

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Seungdae Baek
Ph.D. course
seung7649@kaist.ac.kr
     
 
 

Research Interest

Long-range horizontal connections are distinctive connectivity structure observed in V1 layer 2/3 in higher mammals. However, why visual cortex requires such connections, what is the functional role of them remains elusive. Here, we investigated visual functions of the structure by simulating model network.

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Minsoo Kang
M.S. course
kms1215@kaist.ac.kr
     
 
 

Research Interest

Innate stochasticity of the brain
Our brain is under the effect of noise from various sources. This research aims to figure how the brain exploits this stochasticity for effective information processing.

 


 

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Jaeyoung Lew
M.S. course
lewpa64@kaist.ac.kr
     
 
 

Research Interest

Perception of visual symmetry

While symmetry has had a special status in vision research for more than a hundred years, the neural basis of symmetry perception is still unknown. My research interest is in finding the neural mechanism of symmetry perception and its effect on object recognition.

 


 

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