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The long-term goal of this unit is to understand neuronal mechanisms involved in the encoding of sensory inputs, the representation and decoding of relevant information from populations of active neurons, and the maintenance and retrieval of information within those populations. This unit will study how neuronal/local circuit/global circuit-level brain mechanisms enable cognitive processes such as sensation, perception, memory, decision making and attention; the aim is to integrate neurometric techniques including single/multi-unit cell recordings, micro/macro-brain imaging and brain stimulation with psychometric techniques encompassing various forms of perceptual and memory tasks. Computational approaches will play a major role in bridging studies from individual researchers with expertise using different types of measurement. Sang-Hun Lee will lead this unit teamed up with Randolph Blake, Inah Lee and Marcus Kaiser. | The long-term goal of this unit is to understand neuronal mechanisms involved in the encoding of sensory inputs, the representation and decoding of relevant information from populations of active neurons, and the maintenance and retrieval of information within those populations. This unit will study how neuronal/local circuit/global circuit-level brain mechanisms enable cognitive processes such as sensation, perception, memory, decision making and attention; the aim is to integrate neurometric techniques including single/multi-unit cell recordings, micro/macro-brain imaging and brain stimulation with psychometric techniques encompassing various forms of perceptual and memory tasks. Computational approaches will play a major role in bridging studies from individual researchers with expertise using different types of measurement. Sang-Hun Lee will lead this unit teamed up with Randolph Blake, Inah Lee and Marcus Kaiser. | ||
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| - | <h4>Inah Lee, PhD, Dept. of Psychology, | + | <h4>Inah Lee, PhD, Dept. of Psychology, sNU |
<a href="http://inahlee.org/"><font color=gray>Homepage</font></a></h4> | <a href="http://inahlee.org/"><font color=gray>Homepage</font></a></h4> | ||
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Revision as of 00:39, 30 June 2010
Contents |
System and Behavioral unit
The long-term goal of this unit is to understand neuronal mechanisms involved in the encoding of sensory inputs, the representation and decoding of relevant information from populations of active neurons, and the maintenance and retrieval of information within those populations. This unit will study how neuronal/local circuit/global circuit-level brain mechanisms enable cognitive processes such as sensation, perception, memory, decision making and attention; the aim is to integrate neurometric techniques including single/multi-unit cell recordings, micro/macro-brain imaging and brain stimulation with psychometric techniques encompassing various forms of perceptual and memory tasks. Computational approaches will play a major role in bridging studies from individual researchers with expertise using different types of measurement. Sang-Hun Lee will lead this unit teamed up with Randolph Blake, Inah Lee and Marcus Kaiser.
Sang-Hun Lee, PhD, Dept. of Psychology, SNU Homepage
Sang-Hun Lee
- An expert in visual neuroscience with specialty in parallel uses of fMRI, psychophysics and neural models linking psychophysical and cortical measurements.
- High impact publications in journals such as Science, Nature, Nature Neuroscience.
- His recent work on traveling waves in human visual cortex (Nature, 2001; Nat. Neurosci, 2005; 2007) has created great impacts in the fields of both visual neuroscience and neural basis of consciousness.
- His work on the role of temporal structure in spatial grouping (Science, 1999) is highly original and has sparked keen interest in that topic.
- Recipient of ASSC William James Award (2006) in recognition of his contribution to scientific studies of consciousness
- Unit leader and representative PI of DBCS.
Randolph Blake, PhD, Dept. of Psychology, Vanderbilt University Homepage
Randolph Blake
Randolph Blake, PhD, Dept. of Psychology, Vanderbilt University
- Studying important aspects of perception by blending psychophysics, neural modeling and brain imaging.
- Acknowledged as world's expert on rivalry and perceptual bistability.
- Devised clever, revealing "psychoanatomical" strategies for identifying neural sites of action within human vision
- Blake's work on the role of temporal structure in spatial grouping is highly original and has sparked keen interest in that topic.
- His 1989 Psychological Review paper on rivalry, the most widely cited theoretical paper on that topic, stimulated an explosion of interest in the phenomena within cognitive neuroscience and neurophysiology.
- High impact publications in Nature (13), Science(9); H research impact factor is 36
- Coauthor of a widely used textbook on perception (Blake & Sekuler, 2005, Perception, McGraw-Hill) now in its fifth edition.
- Numerous prestigious awards including Elected Fellow, American Academy of Arts and Science 2006; Earl Sutherland Award, 2000; APA, Early Career Award, 1977; Thomas Jefferson Award, 2008; IgNobel Prize, 2006.
Inah Lee, PhD, Dept. of Psychology, sNU Homepage
Inah Lee
- His research aim is to elucidate biological mechanisms of episodic memory and rule learning using electrophysiology, behavioral neuroscience, neuropharmacology and computational modeling.
- High impact publications in high-profile journals such as Nature, Nature Neuroscience and Neuron.
- His work in Nature (2004) provided, for the first time, that neurons in the hippocampus perform a computational function, pattern completion, that had only been suggested by theoreticians and computational modelers for more than 30 years without any experimental proof.
- His publication record within a short period of time of 7 years is exceptional in the field of systems neuroscience involving animal experiments.
- Full-time commitment for 5 years.
Marcus Kaiser, PhD, Complex Neural Systems, Newcastle Univ. Homepage
Marcus Kaiser
- His research interest is modeling network architecture and simulating neural activity as well as data analysis of experimentally observed brain connectivity and neural dynamics.
- High impact publications in journals such as Neuron, PLoS CB, Trends in Cognitive Sciences and Physical Review within 4 years
- The first to show that local spatial and topological features of cortical and neuronal networks can be used to reconstruct the global network topology.
- The first to publish that cortical networks can show sustained activity that neither dies out nor spreads through the whole network even in the absence of inhibitory nodes.
