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A Brain-Inspired Cognitive System that Mimics the Dynamics of Human Thought

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Artificial Intelligence XXXV (SGAI 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11311))

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Abstract

In recent years, some impressive AI systems have been built that can play games and answer questions about large quantities of data. However, we are still a very long way from AI systems that can think and learn in a human-like way. We have a great deal of information about how the brain works and can simulate networks of hundreds of millions of neurons. So it seems likely that we could use our neuroscientific knowledge to build brain-inspired artificial intelligence that acts like humans on similar timescales. This paper describes an AI system that we have built using a brain-inspired network of artificial spiking neurons. On a word recognition and colour naming task our system behaves like human subjects on a similar timescale. In the longer term, this type of AI technology could lead to more flexible general purpose artificial intelligence and to more natural human-computer interaction.

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Notes

  1. 1.

    The code can be found on http://www.cwa.mdx.ac.uk/NEAL/NEAL.html.

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Acknowledgment

This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 720270 (the Human Brain Project).

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Authors and Affiliations

  1. Middlesex University, London, UK

    Yuehu Ji, David Gamez & Christian Huyck

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  1. Yuehu Ji
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  2. David Gamez
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  3. Christian Huyck
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Corresponding author

Correspondence to Yuehu Ji .

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Editors and Affiliations

  1. University of Portsmouth, Portsmouth, UK

    Max Bramer

  2. Middlesex University, London, UK

    Miltos Petridis

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Ji, Y., Gamez, D., Huyck, C. (2018). A Brain-Inspired Cognitive System that Mimics the Dynamics of Human Thought. In: Bramer, M., Petridis, M. (eds) Artificial Intelligence XXXV. SGAI 2018. Lecture Notes in Computer Science(), vol 11311. Springer, Cham. https://doi.org/10.1007/978-3-030-04191-5_4

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  • DOI: https://doi.org/10.1007/978-3-030-04191-5_4

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