Takashi Kohno
Papers
2
Total Citations
37
H-Index
2
About
Takashi Kohno is a researcher whose work spans two remarkably distinct yet forward-thinking domains: genomic analysis and neuromorphic computing. In the field of genomics, Kohno has made a significant methodological contribution by developing an innovative approach to genome-wide chromatin analysis using formalin-fixed paraffin-embedded (FFPE) tissues — a breakthrough with substantial clinical implications. By employing a dual-arm robotic system to perform ChIP-seq on archival tissue samples, his work addressed a longstanding challenge in accurately identifying transcription factor binding sites, opening new possibilities for retrospective genomic studies in clinical settings. This paper has garnered 23 citations since its 2021 publication, reflecting its relevance to the biomedical research community. Complementing this, Kohno has also contributed to the field of neuromorphic engineering, exploring spike-timing-dependent plasticity and artificial neuron implementations on multi-core embedded platforms — research that bridges computational neuroscience and hardware design, earning 14 citations since 2017. Together, these contributions paint a picture of a versatile and interdisciplinary researcher whose work holds meaningful implications for both clinical genomics and next-generation computing architectures.
Research Focus
Key Achievements
Top Papers
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