M. Korkin
Papers
13
Total Citations
183
H-Index
7
About
M. Korkin is a pioneering researcher in neuromorphic computing and evolvable hardware, best known for his foundational contributions to ATR's ambitious CAM-Brain project — one of the most audacious artificial intelligence endeavors of its era. His work centers on the development of FPGA-based hardware systems capable of evolving and simulating large-scale artificial neural networks in real time, with the ultimate goal of constructing a billion-neuron artificial brain for autonomous robot control. Korkin's most influential contribution, the CAM-Brain Machine (CBM), demonstrated the remarkable capability of evolving a 1,000-neuron circuit module in seconds while simultaneously updating a 75-million-neuron artificial brain — a landmark achievement that earned over 54 citations and set benchmarks for evolvable hardware design. His introduction of the "Spike Interval Information Coding" representation and the "CoDi-1Bit" neural model further advanced the field by offering biologically inspired frameworks for neural information processing. Across nearly a decade of research at ATR, Korkin helped push the boundaries of what programmable hardware could achieve in cognitive systems, accumulating over 175 citations across his published work. His contributions remain an important reference point for researchers exploring neuromorphic engineering and evolutionary computation.
Research Focus
Key Achievements
Top Papers
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- 2Building an artificial brain using an FPGA based CAM-Brain Machine33 citations · 2000
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- 4Untitled23 citations · 2001
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- 10Initial evolvability experiments on the CAM-brain machines (CBMs)3 citations · 2002