Research Areas Brainformatics

Research Interests The brain is the intelligence center of humans and animals to decide their behaviors. For this, it integrates real time sensory signals from various sensory organs with experiences learned throughout their lives. To understand biological intelligence, we need to know how the brain processes information. Brainformatics is the area of research to understand how the brain encodes and processes information. The brain is studied in a wide spectrum of levels from molecular to social. We mainly study system level computational neuroscience of intelligence manifested through neural networks and individual level behavioral economics of decision and game theories.

Computational Neuroscience
Associative memory: The associative memory is first proposed by Aristotle. We try to understand how the associative memory is stored, recalled, and degraded in the brain using theoretical and computational tools.

Manifold ways of perception: We are also attacking the problem of manifold ways of perception that allows position, size, direction, distance invariant perception of objects.

Behavioral Economics
Relative decision theory: In the neoclassical economics, psychology of decision was ignored by assuming humans are rational to get a normative theory. However there are many cases where human are not rational but affected by many different factors like emotions Many descriptive decision models were proposed including the prospect theory and the regret theory. However they all have limitations of explaining various non-rational behaviors. We want to develop a new theory of decision making that can explain more than any other models.

Game theory: Nash equilibrium proposed by John Nash is the central tool in game theory. On the other hand, evolutionary stable equilibrium is also proposed in evolutional game theory where evolution of game strategies through learning is studied. However two concepts are not equivalent. We’d like to develop a new theory that can encompass them.

Selected Publications Bomje Woo, Donggyun Shin, Daeryook Yang, Jinhoon Choi, “Reduced model and simulation of neuron with passive dendritic cable: An eigenfunction expansion approach”, Journal of Computational Neuroscience, 19 (2005) 379-397.

Jinhoon Choi, Kwang Soon Lee “Mixed Constrained Infinite Horizon Linear Quadratic Optimal Control”, Asian Journal of Control, 9 (2003) 412-418.

Jinhoon Choi, Wook Hyun Kwon, “Continuity and Exponential Stability of Mixed Constrained Model Predictive Control”, SIAM Journal on Control and Optimization, 42 (2003) 839-870.

Jinhoon Choi, “On the Stabilization of Linear Discrete Time Systems Subject to Input Saturation”, Systems and Control Letters, 36 (1999) 241-244.

Jinhoon Choi, “Connections Between Local Stability in Lyapunov and Input/Output Senses”, IEEE Tracsactions on Automatic Control, 40 (1995) 2139-2143.

Professional Experience 교수 (서강대학교, 1997-현재)