scholarly journals Internal Models for Coalgebraic Modal Logics

2012 ◽  
pp. 238-258
Author(s):  
Toby Wilkinson
Keyword(s):  
Internal Models ◽  
Modal Logics

Internal Models and Body Schema in Tool Use

2012 ◽  
Vol 220 (1) ◽  
pp. 50-52 ◽  
Author(s):  
Martina Rieger
Keyword(s):  
Tool Use ◽  
Body Schema ◽  
Internal Models

Internal Models in Tool Use

2007 ◽  
Author(s):  
Cristina Massen ◽  
Arvid Herwig
Keyword(s):  
Tool Use ◽  
Internal Models

Corticostriatal signatures of learning efficient internal models for control

2018 ◽  
Author(s):  
Daniel McNamee ◽  
Matthew Botvinick ◽  
Samuel Gershman
Keyword(s):  
Internal Models

Modal logics with Belnapian truth values

2010 ◽  
Vol 20 (3) ◽  
pp. 279-304 ◽  
Author(s):  
Serge P Odintsov ◽  
Heinrich Wansing
Keyword(s):  
Modal Logics ◽  
Truth Values

A Darwinian view on internal models

2017 ◽  
Vol 20 (1) ◽  
pp. 1-21 ◽  
Author(s):  
Paul Embrechts
Keyword(s):  
Internal Models

scholarly journals Visual predictions, neural oscillations and naïve physics

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Blake W. Saurels ◽  
Wiremu Hohaia ◽  
Kielan Yarrow ◽  
Alan Johnston ◽  
Derek H. Arnold
Keyword(s):  
Brain Activity ◽  
Dynamic Environment ◽  
Predictive Performance ◽  
Brain Regions ◽  
Internal Models ◽  
Oscillatory Activity ◽  
Alpha Band ◽  
Core Property ◽  
Ball Tracking ◽  
Band Activity

AbstractPrediction is a core function of the human visual system. Contemporary research suggests the brain builds predictive internal models of the world to facilitate interactions with our dynamic environment. Here, we wanted to examine the behavioural and neurological consequences of disrupting a core property of peoples’ internal models, using naturalistic stimuli. We had people view videos of basketball and asked them to track the moving ball and predict jump shot outcomes, all while we recorded eye movements and brain activity. To disrupt people’s predictive internal models, we inverted footage on half the trials, so dynamics were inconsistent with how movements should be shaped by gravity. When viewing upright videos people were better at predicting shot outcomes, at tracking the ball position, and they had enhanced alpha-band oscillatory activity in occipital brain regions. The advantage for predicting upright shot outcomes scaled with improvements in ball tracking and occipital alpha-band activity. Occipital alpha-band activity has been linked to selective attention and spatially-mapped inhibitions of visual brain activity. We propose that when people have a more accurate predictive model of the environment, they can more easily parse what is relevant, allowing them to better target irrelevant positions for suppression—resulting in both better predictive performance and in neural markers of inhibited information processing.

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