win-shift learning is sensitive to food type in noisy miners (manorina melanocephala) danielle...
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![Page 1: Win-shift learning is sensitive to food type in Noisy Miners (Manorina melanocephala) Danielle Sulikowski Darren Burke](https://reader030.vdocuments.net/reader030/viewer/2022032415/56649f095503460f94c1d76c/html5/thumbnails/1.jpg)
Win-shift learning is sensitive to food type
in Noisy Miners(Manorina melanocephala)
Danielle Sulikowski
Darren Burke
![Page 2: Win-shift learning is sensitive to food type in Noisy Miners (Manorina melanocephala) Danielle Sulikowski Darren Burke](https://reader030.vdocuments.net/reader030/viewer/2022032415/56649f095503460f94c1d76c/html5/thumbnails/2.jpg)
Win-shift learning is sensitive to food type. Sulikowski & Burke
Understanding the evolution of cognition…
it follows that variation in such cognitive abilities should have adaptive significance.
One example of such an adaptive specialisation is the win-shift bias of various nectarivores.
If we presume that cognitive abilities are subject to natural selection…
![Page 3: Win-shift learning is sensitive to food type in Noisy Miners (Manorina melanocephala) Danielle Sulikowski Darren Burke](https://reader030.vdocuments.net/reader030/viewer/2022032415/56649f095503460f94c1d76c/html5/thumbnails/3.jpg)
Win-shift learning is sensitive to food type. Sulikowski & Burke
![Page 4: Win-shift learning is sensitive to food type in Noisy Miners (Manorina melanocephala) Danielle Sulikowski Darren Burke](https://reader030.vdocuments.net/reader030/viewer/2022032415/56649f095503460f94c1d76c/html5/thumbnails/4.jpg)
Win-shift learning is sensitive to food type. Sulikowski & Burke
The Noisy Miner Bird (Aves: Meliphagidae, Manorina melanocephala)
![Page 5: Win-shift learning is sensitive to food type in Noisy Miners (Manorina melanocephala) Danielle Sulikowski Darren Burke](https://reader030.vdocuments.net/reader030/viewer/2022032415/56649f095503460f94c1d76c/html5/thumbnails/5.jpg)
Win-shift learning is sensitive to food type. Sulikowski & Burke
Baited feeder
Unbaited feeder
Exploration Phase
Test Phase
Stay Shift
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Win-shift learning is sensitive to food type. Sulikowski & Burke
P = 0.051*
*
*
![Page 7: Win-shift learning is sensitive to food type in Noisy Miners (Manorina melanocephala) Danielle Sulikowski Darren Burke](https://reader030.vdocuments.net/reader030/viewer/2022032415/56649f095503460f94c1d76c/html5/thumbnails/7.jpg)
Win-shift learning is sensitive to food type. Sulikowski & Burke
P = 0.007*
*
0.06
![Page 8: Win-shift learning is sensitive to food type in Noisy Miners (Manorina melanocephala) Danielle Sulikowski Darren Burke](https://reader030.vdocuments.net/reader030/viewer/2022032415/56649f095503460f94c1d76c/html5/thumbnails/8.jpg)
Win-shift learning is sensitive to food type. Sulikowski & Burke
Where to from here?
What properties of nectar trigger the shift algorithm?
- taste, nutritional content, distribution?
Why was performance in invertebrates groups so poor?
- other algorithms, other cues?
Is the shift-bias an evolved adaptation or purely the result of experience?
- evidence against a purely experiential explanation