Name
Title | ||
|---|---|---|
Reward-biased probabilistic decision-making: Mean-field predictions and spiking simulations |
Abstract | ||
|---|---|---|
In this work we study the basic competitive and cooperative mechanisms of neural activity in the context of a two-alternative free-choice eye-movement task, as a function of the expectation of reward. We use a simplified version of the protocol followed by Platt and Glimcher [Neural correlates of decision variables in parietal cortex, Nature 400 (1999) 233-238], in which each choice is associated with independent underlying reward schedules, and explicitly model it using a biophysically realistic network of integrate-and-fire neurons that forms a categorical choice from the expected gain contingencies, via a simple bias mechanism. The model accounts for several experimental findings, such as the gain-modulated firing activity observed by Platt and Glimcher and the matching law. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1016/j.neucom.2005.12.069 | Neurocomputing |
Keywords | Field | DocType |
network model,decision variable,computational neuroscience,decision-making,mean-field prediction,neural correlate,gain-modulated firing activity,cooperative mechanism,categorical choice,neural activity,reward-biased probabilistic decision-making,biophysically realistic network,spiking simulation,independent underlying reward schedule,expected gain contingency,lateral intraparietal area,model account,eye movement,parietal cortex,mean field | Neural correlates of consciousness,Computational neuroscience,Categorical variable,Posterior parietal cortex,Schedule,Artificial intelligence,Probabilistic logic,Matching law,Network model,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
69 | 10-12 | Neurocomputing |
Citations | PageRank | References |
1 | 0.41 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel Martí | 1 | 24 | 2.20 |
| Gustavo Deco | 2 | 1004 | 156.20 |
| Paolo Del Giudice | 3 | 208 | 24.76 |
| Maurizio Mattia | 4 | 188 | 29.69 |