Neural antecedents of self-initiated actions in secondary motor cortex. Murakami, M., Vicente, M I., Costa, G. M, & Mainen, Z. F Nature neuroscience, 17(11):1574–82, November, 2014.
Neural antecedents of self-initiated actions in secondary motor cortex. [link]Paper  doi  abstract   bibtex   
The neural origins of spontaneous or self-initiated actions are not well understood and their interpretation is controversial. To address these issues, we used a task in which rats decide when to abort waiting for a delayed tone. We recorded neurons in the secondary motor cortex (M2) and interpreted our findings in light of an integration-to-bound decision model. A first population of M2 neurons ramped to a constant threshold at rates proportional to waiting time, strongly resembling integrator output. A second population, which we propose provide input to the integrator, fired in sequences and showed trial-to-trial rate fluctuations correlated with waiting times. An integration model fit to these data also quantitatively predicted the observed inter-neuronal correlations. Together, these results reinforce the generality of the integration-to-bound model of decision-making. These models identify the initial intention to act as the moment of threshold crossing while explaining how antecedent subthreshold neural activity can influence an action without implying a decision.
@article{Murakami2014,
	title = {Neural antecedents of self-initiated actions in secondary motor cortex.},
	volume = {17},
	issn = {1546-1726},
	url = {http://www.ncbi.nlm.nih.gov/pubmed/25262496},
	doi = {10.1038/nn.3826},
	abstract = {The neural origins of spontaneous or self-initiated actions are not well understood and their interpretation is controversial. To address these issues, we used a task in which rats decide when to abort waiting for a delayed tone. We recorded neurons in the secondary motor cortex (M2) and interpreted our findings in light of an integration-to-bound decision model. A first population of M2 neurons ramped to a constant threshold at rates proportional to waiting time, strongly resembling integrator output. A second population, which we propose provide input to the integrator, fired in sequences and showed trial-to-trial rate fluctuations correlated with waiting times. An integration model fit to these data also quantitatively predicted the observed inter-neuronal correlations. Together, these results reinforce the generality of the integration-to-bound model of decision-making. These models identify the initial intention to act as the moment of threshold crossing while explaining how antecedent subthreshold neural activity can influence an action without implying a decision.},
	number = {11},
	urldate = {2015-12-16},
	journal = {Nature neuroscience},
	author = {Murakami, Masayoshi and Vicente, M Inês and Costa, Gil M and Mainen, Zachary F},
	month = nov,
	year = {2014},
	pmid = {25262496},
	keywords = {Action Potentials, Action Potentials: physiology, Animals, Decision Making, Decision Making: physiology, Long-Evans, Male, Models, Motor Cortex, Motor Cortex: physiology, Nerve Net, Nerve Net: physiology, Neurological, Neurons, Neurons: physiology, Photic Stimulation, Photic Stimulation: methods, Rats, Reaction Time, Reinforcement (Psychology), spontaneous activity},
	pages = {1574--82},
}

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