Cockburn J - Search Results

1

The perception and identification of facial emotions in individuals with autism spectrum disorders using the Let's Face It! Emotion Skills Battery.

Tanaka JW, Wolf JM, Klaiman C, Koenig K, Cockburn J, Herlihy L, Brown C, Stahl SS, South M, McPartland JC, Kaiser MD, Schultz RT. Tanaka JW, et al. Among authors: cockburn j. J Child Psychol Psychiatry. 2012 Dec;53(12):1259-67. doi: 10.1111/j.1469-7610.2012.02571.x. Epub 2012 Jul 11. J Child Psychol Psychiatry. 2012. PMID: 22780332 Free PMC article.

2

Specific impairment of face-processing abilities in children with autism spectrum disorder using the Let's Face It! skills battery.

Wolf JM, Tanaka JW, Klaiman C, Cockburn J, Herlihy L, Brown C, South M, McPartland J, Kaiser MD, Phillips R, Schultz RT. Wolf JM, et al. Among authors: cockburn j. Autism Res. 2008 Dec;1(6):329-40. doi: 10.1002/aur.56. Autism Res. 2008. PMID: 19360688 Free PMC article.

3

Using computerized games to teach face recognition skills to children with autism spectrum disorder: the Let's Face It! program.

Tanaka JW, Wolf JM, Klaiman C, Koenig K, Cockburn J, Herlihy L, Brown C, Stahl S, Kaiser MD, Schultz RT. Tanaka JW, et al. Among authors: cockburn j. J Child Psychol Psychiatry. 2010 Aug;51(8):944-52. doi: 10.1111/j.1469-7610.2010.02258.x. J Child Psychol Psychiatry. 2010. PMID: 20646129 Clinical Trial.

4

Feedback information and the reward positivity.

Cockburn J, Holroyd CB. Cockburn J, et al. Int J Psychophysiol. 2018 Oct;132(Pt B):243-251. doi: 10.1016/j.ijpsycho.2017.11.017. Epub 2017 Dec 6. Int J Psychophysiol. 2018. PMID: 29208491

5

Focus on the positive: computational simulations implicate asymmetrical reward prediction error signals in childhood attention-deficit/hyperactivity disorder.

Cockburn J, Holroyd CB. Cockburn J, et al. Brain Res. 2010 Dec 13;1365:18-34. doi: 10.1016/j.brainres.2010.09.065. Epub 2010 Sep 25. Brain Res. 2010. PMID: 20875804

6

Learning, Reward, and Decision Making.

O'Doherty JP, Cockburn J, Pauli WM. O'Doherty JP, et al. Among authors: cockburn j. Annu Rev Psychol. 2017 Jan 3;68:73-100. doi: 10.1146/annurev-psych-010416-044216. Epub 2016 Sep 28. Annu Rev Psychol. 2017. PMID: 27687119 Free PMC article. Review.

7

Using deep reinforcement learning to reveal how the brain encodes abstract state-space representations in high-dimensional environments.

Cross L, Cockburn J, Yue Y, O'Doherty JP. Cross L, et al. Among authors: cockburn j. Neuron. 2021 Feb 17;109(4):724-738.e7. doi: 10.1016/j.neuron.2020.11.021. Epub 2020 Dec 15. Neuron. 2021. PMID: 33326755 Free PMC article.

8

A reinforcement learning mechanism responsible for the valuation of free choice.

Cockburn J, Collins AG, Frank MJ. Cockburn J, et al. Neuron. 2014 Aug 6;83(3):551-7. doi: 10.1016/j.neuron.2014.06.035. Epub 2014 Jul 24. Neuron. 2014. PMID: 25066083 Free PMC article.

9

Beyond dichotomies in reinforcement learning.

Collins AGE, Cockburn J. Collins AGE, et al. Among authors: cockburn j. Nat Rev Neurosci. 2020 Oct;21(10):576-586. doi: 10.1038/s41583-020-0355-6. Epub 2020 Sep 1. Nat Rev Neurosci. 2020. PMID: 32873936 Free PMC article. Review.

10

Novelty and uncertainty regulate the balance between exploration and exploitation through distinct mechanisms in the human brain.

Cockburn J, Man V, Cunningham WA, O'Doherty JP. Cockburn J, et al. Neuron. 2022 Aug 17;110(16):2691-2702.e8. doi: 10.1016/j.neuron.2022.05.025. Epub 2022 Jul 8. Neuron. 2022. PMID: 35809575 Free article.

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