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NMI-lab Home | nmi-lab.org Reviews

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1

NMI-lab People

http://www.nmi-lab.org/people

Neuromorphic Machine Intelligence Lab. Cognition, Neuroscience and Machine Learning. E-Mail: eneftci@uci.edu. E-Mail: gdetorak@uci.edu. E-Mail: jrashid@uci.edu. E-Mail: danbarsever@gmail.com. NMI-lab, Dept. of Cognitive Sciences. 2308 Social and Behavioral Sciences Gateway Building. 949) 824-3771 cogsci@uci.edu.

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NMI-lab Teaching

http://www.nmi-lab.org/teaching

Neuromorphic Machine Intelligence Lab. Cognition, Neuroscience and Machine Learning. PSYCH 268: Neuromorphic Engineering. PSYCH 268: Brain-Inspired Learning Machines (github). PSYCH 169: Neural Processing in Artificial Minds. Co-taught by Emre Neftci and Jeff Krichmar. Course Syllabus (119.0Â KB). PSYCH 205C: Computational Statistics. Course Syllabus (92.6Â KB). NMI-lab, Dept. of Cognitive Sciences. 2308 Social and Behavioral Sciences Gateway Building. 949) 824-3771 cogsci@uci.edu.

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NMI-lab newsblog-apphook

http://www.nmi-lab.org/news/event-driven-random-back-propagation-enabling-neuromorphic-deep-learning-machines

Neuromorphic Machine Intelligence Lab. Cognition, Neuroscience and Machine Learning. Neuromorphic Deep Learning Machines. Dec 19, 2016, posted by Emre Neftci. Https:/ arxiv.org/pdf/1612.05596. Â Back to Overview. Next Article →. NMI-lab, Dept. of Cognitive Sciences. 2308 Social and Behavioral Sciences Gateway Building. 949) 824-3771 cogsci@uci.edu.

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NMI-lab newsblog-apphook

http://www.nmi-lab.org/news/author/eneftci

Neuromorphic Machine Intelligence Lab. Cognition, Neuroscience and Machine Learning. On-line spike-based deep learning demo. Feb 21, 2017, posted by Emre Neftci. Neuromorphic Deep Learning Machines. Dec 19, 2016, posted by Emre Neftci. New Article: Stochastic Synapses enable power efficient learning Machines. Frontiers in Neuroscience. Synaptic sampling machines are the best performing spike-based unsupervised learners to date! Nov 20, 2015, posted by Emre Neftci. Nov 20, 2015, posted by Emre Neftci.

5

NMI-lab Publications

http://www.nmi-lab.org/pubs_by_name

Neuromorphic Machine Intelligence Lab. Cognition, Neuroscience and Machine Learning. Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines. Frontiers in Neuroscience, 10. Event-driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines. ArXiv preprint arXiv:1612.05596, 2016. Learning of Chunking Sequences in Cognition and Behavior. PLoS computational biology ( equal contrib. JF, EN) , 11. Frontiers in Neuroinformatics ( equal contrib. FS, EN, SS) , 8. And R J. Douglas.

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Neuromorphic Machine Intelligence Lab. Cognition, Neuroscience and Machine Learning. The NMI Lab strives to create computing systems that work more like the brain, by combining the fundamental and the applied. Specifically, our long-term research goal is to emulate high-level, cognitive function in dedicated neuromorphic hardware systems. Outcomes from this research range from brain-computer interfaces to goal-directed and adapting robotic systems. Dec 19, 2016, posted by Emre Neftci.

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