Computational model of modulation detection by the bullfrog

2003 ◽  
Vol 114 (4) ◽  
pp. 2413-2413
Author(s):  
Andrea M. Simmons ◽  
Kyler Eastman
Keyword(s):  
Computational Model ◽  
Modulation Detection

scholarly journals The effect of presentation level on spectrotemporal modulation detection

2018 ◽  
Author(s):  
Sara Magits ◽  
Arturo Moncada-Torres ◽  
Lieselot Van Deun ◽  
Jan Wouters ◽  
Astrid van Wieringen ◽  
...  
Keyword(s):  
Computational Model ◽  
Neural Activity ◽  
Auditory Nerve ◽  
Normal Hearing ◽  
Behavioral Data ◽  
Speech In Noise ◽  
Presentation Level ◽  
Modulation Detection

AbstractThe understanding of speech in noise relies (at least partially) on spectrotemporal modulation sensitivity. This sensitivity can be measured by spectral ripple tests, which can be administered at different presentation levels. However, it is not known how presentation level affects spectrotemporal modulation thresholds. In this work, we present behavioral data for normal-hearing adults which show that at higher ripple densities (2 and 4 ripples/oct), increasing presentation level led to worse discrimination thresholds. Results of a computational model suggested that the higher thresholds could be explained by a worsening of the spectrotemporal representation in the auditory nerve due to broadening of cochlear filters and neural activity saturation. Our results demonstrate the importance of taking presentation level into account when administering spectrotemporal modulation detection tests.

Inference making and memory for text: A computational model

2001 ◽  
Author(s):  
Paul Van Den Broek ◽  
Yuhtsuen Tzeng ◽  
Sandy Virtue ◽  
Tracy Linderholm ◽  
Michael E. Young
Keyword(s):  
Computational Model ◽  
Inference Making ◽  
Memory For Text

Computational Model of Novel Popout

1992 ◽  
Author(s):  
William A. Johnston ◽  
Kevin J. Hawley ◽  
James M. Farnham
Keyword(s):  
Computational Model

Agent-Based Computational Model

2017 ◽  
Author(s):  
Joshua M. Epstein
Keyword(s):  
Computational Model ◽  
Bounded Rationality ◽  
Time Scales ◽  
Spatially Explicit ◽  
Agent Based ◽  
Affective Component ◽  
Elementary Type ◽  
Social Component ◽  
Different Time Scales

This part describes the agent-based and computational model for Agent_Zero and demonstrates its capacity for generative minimalism. It first explains the replicability of the model before offering an interpretation of the model by imagining a guerilla war like Vietnam, Afghanistan, or Iraq, where events transpire on a 2-D population of contiguous yellow patches. Each patch is occupied by a single stationary indigenous agent, which has two possible states: inactive and active. The discussion then turns to Agent_Zero's affective component and an elementary type of bounded rationality, as well as its social component, with particular emphasis on disposition, action, and pseudocode. Computational parables are then presented, including a parable relating to the slaughter of innocents through dispositional contagion. This part also shows how the model can capture three spatially explicit examples in which affect and probability change on different time scales.

Sign in / Sign up

Export Citation Format

Share Document