BRIC compute request pump-prime form

Date of request: 21-Jan-2022

Financial year of expenditure: 2021/2

Requested amount (GBP): 650

Requested by: Lenard Dome, Andy Wills

Technical purpose: Massive Parameter Space Partioning exploration of the predictions of computational models of category learning. Links are to open-source software we have developed for this work.

Explanation of cost: Calculations shown here estimate £275 for one of the heaviest simulations we need to run. There will be at least two of these, plus some smaller work. £650 should cover it.

Benefit to BRIC: Capacity building towards grant application. Simulations needed for high-profile methods paper (target submission: Summer 2022). This work important as a proof-of-concept for our computational neuroscience grant application (target submission: Autumn 2022).

Track record:

(Cite up to one relevant publication per applicant, each of which lists an applicant as an author). If this is not possible, consider bringing in an additional applicant to strengthen the team’s expertise.

Dome, L., Edmunds, C. E. R. & Wills, A. J. (2021). SUSTAIN captures category learning, recognition, and hippocampal activation in a unidimensional vs. information-integration task. Proceedings of the Annual Meeting of the Cognitive Science Society, 43, 3013-3019.

Schlegelmilch, R., Wills, A.J. & von Helversen, B. (2022). A Cognitive Category-Learning Model of Rule Abstraction, Attention Learning, and Contextual Modulation. Psychological Review. Advance Online Publication.