검색어 : 통합검색[Computational Neuroscience]
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201
- Autonomy, self-reference and contingency in computational neuroscience
- Porr, B.; Worgotter, F.; ; (Pragmatics & beyond. New series, v.116, 2003, pp.145-162)
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202
- Does computational neuroscience need new synaptic learning paradigms?
- Brea, Johanni; Gerstner, Wulfram; ; (Current opinion in behavioral sciences, v.11, 2016, pp.61-66)
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203
- 28th Annual Computational Neuroscience Meeting: CNS*2019
- ; ; (BMC neuroscience, v.20, 2019, pp.56)
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204
- Six Conjectures in Quantum Physics and Computational Neuroscience
- Wen-Ran Zhang; ; (Quantum, Nano and Micro Technologies, 2009. ICQNM `09. Third International Conference on, v.2009, 2009, pp.67-72)
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205
- Working Memory for Robots: Inspirations from Computational Neuroscience
- Phillips, J. L.; Noelle, D. C.; ; (Development and learning ICDL 2006, v.2006, 2006, pp.108)
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206
- Provision of an integrated data analysis platform for computational neuroscience experiments
- Georgios Giannakopoulos and Professor Damianos Sakas, Professor; Munir, Kamran; Liaquat Kiani, Saad; Hasham, Khawar; McClatchey, Richard; Branson, Andrew; Shamdasani, Jetendr; ; (Journal of systems and information technology, v.16, 2014, pp.150-169)
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207
- Computational neuroscience and neuroinformatics: Recent progress and resources
- Nayak, Losiana; Dasgupta, Abhijit; Das, Ritankar; Ghosh, Kuntal; De, Rajat K; ; (Journal of biosciences, v.43, 2018, pp.1037-1054)
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208
- Computational neuroscience across the lifespan: Promises and pitfalls
- van den Bos, Wouter; Bruckner, Rasmus; Nassar, Matthew R.; Mata, Rui; Eppinger, Ben; ; (Developmental cognitive neuroscience : a journal for cognitive, affective and social developmental neuroscience, v.2018, 2018, pp.42-53)
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209
- Application of computational neuroscience to robotic rehabilitation: a conceptual study
- Izawa, Jun; University of Tsukuba, Faculty of Engineering, Information, and Systems 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8573, Japan; (Micro-NanoMechatronics and Human Science (MHS), 2018 International Symposium on, v.2018, 2018, pp.1-2)
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210
- Efficient reinforcement learning: computational theories, neuroscience and robotics
- Kawato, M.; Samejima, K.; ; (Current opinion in neurobiology, v.17, 2007, pp.205-212)
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