Changes of Mind in Decision-Making Networks
Author Information
Author(s): Larissa Albantakis, Gustavo Deco
Primary Institution: Universitat Pompeu Fabra, Barcelona, Spain
Hypothesis
Can an attractor network model replicate changes of mind observed in decision-making tasks?
Conclusion
The study demonstrates that a biophysically-realistic attractor network can replicate changes of mind during decision-making tasks.
Supporting Evidence
- The model accurately simulates reaction times and performance in decision-making tasks.
- Changes of mind are predicted to occur more frequently under certain conditions in the model.
- The model aligns with neurophysiological evidence from decision-related neurons.
Takeaway
The brain can change its mind after making a decision if new evidence comes in, and this can be modeled using a network of neurons that work together.
Methodology
The study used a biophysically-realistic attractor network model with spiking neurons to simulate decision-making processes.
Limitations
The model's predictions may not fully capture all aspects of human decision-making behavior.
Digital Object Identifier (DOI)
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