NOVELTY AND PATTERNS
Instructions Following are a diversity of resources (websites, videos, articles, among others) that may be of your interest. The majority of resources are available online for free in the hyperlink provided. If you are not sure where to start, recommended resources have the first word of the reference highlighted with light text over a dark background (e.g., Ansari). If you need to translate a document we recommend using Google Translator. On this page, you can input the link to a website, select “translate”, and you will see a link that will take you to a translated version of the page. You may also upload PDF documents to get a translation. If you wish, you can download this bundle. |
Corbetta, M., & Shulman, G. L. (2002). Control of goal-directed and stimulus-driven attention in the brain. Nature Reviews Neuroscience, 3(3), 201-215.
DiCarlo, J. J., Zoccolan, D., & Rust, N. C. (2012). How does the brain solve visual object recognition? Neuron, 73(3), 415‒434.
Haken, H. (2013). Principles of brain functioning: A synergetic approach to brain activity, behavior and cognition (Vol. 67). Berlin, Germany: Springer Science & Business Media.
Huang, S., Belliveau, J. W., Tengshe, C., & Ahveninen, J. (2012). Brain networks of novelty-driven involuntary and cued voluntary auditory attention shifting. PLoS ONE, 7(8), e44062.
Kafkas, A., & Montaldi, D. (2018). How do memory systems detect and respond to novelty? Neuroscience letters, 680, 60-68.
LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436‒444.
Pavlidis, T. (2013). Structural pattern recognition (Vol. 1). New York: Springer.
Petersen, S. E., & Posner, M. I. (2012). The attention system of the human brain: 20 years after. Annual Review of Neuroscience, 35, 73‒89.
Ripley, B. D. (2007). Pattern recognition and neural networks. Cambridge, UK: Cambridge University Press.
Samarasinghe, S. (2016). Neural networks for applied sciences and engineering: from fundamentals to complex pattern recognition. Boca Raton, FL: CRC Press.
Schupp, H. T., Flaisch, T., Stockburger, J., & Junghöfer, M. (2006). Emotion and attention: event-related brain potential studies. Progress in brain research, 156, 31-51.
Sousa, D. A. (2016). How the brain learns. Thousand Oaks, CA: Corwin Press.
Szegedy, C., Toshev, A., & Erhan, D. (2003). Deep neural networks for object detection. In P. Baldi, J. Cheng & A. Vullo’s Advances in neural information processing systems (pp. 2553‒2561). Cambridge, MA: MIT Press.
Yamasaki, H., LaBar, K. S., & McCarthy, G. (2002). Dissociable prefrontal brain systems for attention and emotion. Proceedings of the National Academy of Sciences, 99(17), 11447-11451.
Date of last update: 11-Jan-2021
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