Grecucci, A. and Cooper, Richard P. and Rumiati, R.I. (2007) A computational model of action resonance and its modulation by emotional stimulation. Cognitive Systems Research 8 (3), 143 - 160. ISSN 1389-0417.
Abstract
Recent research has shown that stimulus–response compatibility (SRC) effects can be modulated by the emotional state of the participant and, more specifically, that the SRC effect is larger when aversive emotional stimulation precedes the seen movement [Rumiati, R. I. & Grecucci, A. (submitted for publication). On the emotional modulation of action]. In the present study, we propose that this effect arises from four assumptions: First, that the cortical representations subserving observation and execution of the same actions overlap and resonate; second, that graded persistence of activation due to observed movement facilitates subsequent movement execution; third, that movement representations that are similar but different compete for activation; and fourth, that aversive emotional states enhance the processing of events. By means of a set of simulations, we demonstrate that each of these assumptions plays a critical role in capturing the compatibility effect and its emotional modulation. We further employ the model to clarify the debate between synergistic and competitive views of cognition/emotion interactions, and demonstrate how emotionally-driven stimulus–response compatibility effects may be modulated by task demands, thus offering a possible resolution to the long-standing debate between synergistic and competitive interactions between emotion and cognition.
Metadata
| Item Type: | Article |
|---|---|
| Additional Information: | Cognitive Modeling |
| Keyword(s) / Subject(s): | Stimulus–response compatibility, emotion, imitation, neural network, Amygdala, fear, mirror neurons, action resonance, prefrontal cortex |
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Psychological Sciences |
| Depositing User: | Administrator |
| Date Deposited: | 11 Aug 2011 09:15 |
| Last Modified: | 02 Aug 2023 16:55 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/3934 |
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