scholarly journals What Causes Ecological Shifts?

Eos ◽  
2017 ◽  
Author(s):  
Kate Wheeling
Keyword(s):  
Information Processing ◽  
New Information ◽  
Ecological Shifts ◽  
Processing Framework

A new information-processing framework helps researchers tease out the factors driving ecological shifts over short timescales.

The Decision to Blow the Whistle: A Social Information Processing Framework

2003 ◽  
Vol 28 (1) ◽  
pp. 107 ◽  
Author(s):  
Michael J. Gundlach ◽  
Scott C. Douglas ◽  
Mark J. Martinko
Keyword(s):  
Information Processing ◽  
Social Information Processing ◽  
Social Information ◽  
Processing Framework

Reconstruction of Identity After Brain Injury

2000 ◽  
Vol 1 (1) ◽  
pp. 12-28 ◽  
Author(s):  
Mark Ylvisaker ◽  
Timothy Feeney
Keyword(s):  
Traumatic Brain Injury ◽  
Information Processing ◽  
Brain Injury ◽  
Personal Identity ◽  
Positive Sense ◽  
Potential Contributor ◽  
Behavioural Adjustment ◽  
The Impact ◽  
Instructive Case ◽  
Processing Framework

AbstractFollowing severe traumatic brain injury, difficulty with behavioural adjustment and community reintegration is common. A potential contributor to this difficulty is a sense of personal identity that is inconsistent with the restrictions on activity and need for effortful compensation imposed by persistent impairment. We summarise an information processing framework within which the impact of schematic mental models of self is explained and present intervention procedures designed to help individuals with traumatic brain injury reconstruct an organised and positive sense of personal identity. We conclude the paper with three instructive case illustrations.

Space, Time, and Objects

2009 ◽  
Author(s):  
Rick Grush
Keyword(s):  
Nervous System ◽  
Information Processing ◽  
Basis Function ◽  
Spatial Representation ◽  
Space Time ◽  
Function Model ◽  
Temporal Representation ◽  
Spatiotemporal Trajectories ◽  
Processing Framework

This article outlines a unified information processing framework whose goal is to explain how the nervous system represents space, time, and objects. It explains the concept of the emulation theory of representation and describes an extension of the emulation framework for temporal representation. It discusses Alexandre Pouget's basis function model of spatial representation and describes how to combine the basis function model of spatial representation with the trajectory emulation model of temporal representation to yield an information processing framework that genuinely represents behavioral spatiotemporal trajectories of behavioral objects.

Testing Cognitive Models through Computer-Controlled Experiments

1971 ◽  
Vol 8 (3) ◽  
pp. 291-297 ◽  
Author(s):  
G. David Hughes ◽  
Jose L. Guerrero
Keyword(s):  
Information Processing ◽  
Subjective Probability ◽  
Cognitive Models ◽  
Controlled Experiment ◽  
Subjective Probabilities ◽  
Controlled Experiments ◽  
New Model ◽  
New Information ◽  
Computer Controlled

A computer-controlled experiment was used to test balance, reinforcement, and congruity models and to develop a new model to predict changes in buyers’ subjective probabilities after receiving new information. Subjective probability and attitude models were tested to determine their utility in studying buyers’ information processing.

scholarly journals Remediation Strategies for Performance Anxiety across Sex, Sport and Stage: Identifying Common Approaches and a Unified Cognitive Model

2021 ◽  
Vol 18 (19) ◽  
pp. 10160
Author(s):  
David L. Rowland ◽  
Gene Moyle ◽  
Stewart E. Cooper
Keyword(s):  
Information Processing ◽  
High Performance ◽  
Cognitive Model ◽  
Common Goal ◽  
Domain Specific ◽  
Remediation Strategies ◽  
Automatic Information ◽  
The Common ◽  
Improved Performance ◽  
Processing Framework

Strategies for addressing anxiety-related decrements in performance have been implemented across a variety of domains, including Sex, Sport, and Stage. In this review, we (1) iterate the dominant anxiety-related remediation strategies within each of these domains; (2) identify over-lapping and domain-specific strategies; and (3) attempt to unify the conceptualization of performance-related anxiety across these three areas under the information-processing framework of the Reflective/deliberative—Impulsive/automatic Model (RIM). Despite both diversity and similarity in remediation approaches across domains, we found that many strategies appear to share the common goal of maintaining a dominant automatic style of information processing in high performance demand situations. We then describe how various remediation strategies might hypothetically fit within the RIM framework and its subcomponents, identifying each intervention as falling into one or more broad categories related to achieving and/or maintaining dominance in automatic information processing. We conclude by affirming the benefit of adopting a unifying information-processing framework for the conceptualization of performance-related anxiety, as a way of both guiding future cross- and inter- disciplinary research and elucidating effective remediation models that share common pathways/mechanisms to improved performance.

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