To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Anhedonia is defined as a reduced interest in or inability to experience pleasure from reward-related activities. Recent studies have demonstrated deficient effort-based motivation in anhedonia, but the neural dynamics underlying the interface between effort and reward remain unclear.
Methods
To address this issue, we recruited an anhedonia (ANH) group (N = 40) and a control (CNT) group (N = 40) to complete two tasks: (1) an effort–reward task where participants earned varying rewards by exerting different levels of physical effort and (2) an effort-based decision-making task where they chose between a no-effort option for a smaller reward and a high-effort option for a larger reward. We recorded EEG during both tasks and analyzed the resulting neural responses.
Results
As expected, the ANH group showed reduced reward responses in both self-reported ratings and event-related potential (ERP) data in response to cue stimuli (indexed by the cue-P3) and reward feedback (indexed by the reward positivity). Importantly, the ANH group exhibited inefficient integration between effort and reward, showing an absent effort-discounting effect on the feedback-P3 during reward evaluation and a lack of reward-related theta modulation during effort-based decision-making.
Conclusions
Our findings suggest a neurodynamic motivation model in anhedonia that informs precise interventions for relevant neuropsychiatric disorders.
Dynamical systems thinking originated from the sensory-motor domain, but is hypothesized to reach all forms of cognition.Dynamic field theory (DFT) is a mathematically specific, neurally grounded formalization of dynamical systems thinking. Stable states of neural activation, realized as localized activation patterns in low-dimensional neural fields are the units of representation. Their dynamic instabilities lead to the emergence of events at discrete moments in time from continuous-time dynamics. These enable sequences of neural processing steps and flexible binding of multiple localist representations within neural dynamic architectures. Stability enables linking DFT accounts to sensory-motor systems and closed-loop behavior. Instabilities and coordinate transforms are key to reaching the flexibility and productivity of higher cognition. This chapter discusses the relationship between DFT and other approaches to cognition.
This chapter discusses the importance of dynamics to understanding cognition. The author turns to the issue of how dynamics have been integrated into various theories of cognition. The author describes strengths and weaknesses of three main contenders in cognitive science, in relation to their incorporation of time into their methods of model construction. The neural engineering framework (NEF) is a general theory of neurobiological systems. Neural dynamics are characterized by considering neural representations as control theoretic state variables. Thus, the dynamics of neurobiological systems can be analyzed using control theory. The model employs biologically realistic neurons to learn the relevant structural transformations appropriate for a given context, and it generalizes such transformations to novel contents with the same syntactic structure. The intent of the NEF is to provide a suggestion as to how we might take seriously many of the important insights generated from cognitive science.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.