CAT PAW: Combinatorial Algorithm to Test all Possible Assortments of Weights

Abstract

Group-based multi-criteria decision-making (MCDM) is a challenging and time-consuming process often rich with subjectivity. This paper outlines an algorithm created in Python to evaluate every possible criterion weighting combination to assist in making an objective decision. Implications of this study include increased efficiency and reduced subjectivity in group-based MCDM.

Feedback inhibition underlies new computational functions of cerebellar interneurons

“…This simulation has been employed over many years and has been optimized to successfully model many aspects of cerebellar processing, including bidirectional learning, adaptive timing, and roles for multiple sites of plasticity, short-term plasticity, and recurrent feedback ( Medina and Mauk, 1999 ; Medina et al, 2000 ; Medina et al, 2002 ; Ohyama et al, 2010 ; Kalmbach et al, 2011 ; Khilkevich et al, 2018 ). The details of this simulation have been presented elsewhere ( Medina and Mauk, 1999 ; Medina and Mauk, 2000 ; Medina et al, 2000 ; Medina et al, 2001 ; Medina et al, 2002 ; Ohyama et al, 2010 ; Kalmbach et al, 2011 ; Li et al, 2013 ; Khilkevich et al, 2018 ) and source code is available at https://github.com/mauk-lab-utexas/CBMSim , ( Halverson, 2022 ; copy archived at swh:1:rev:6f592845581c0f06bd80a9bd43dabba2000965bf ). Here, we will briefly summarize the simulation.…”