Distinct Sources of Deterministic and Stochastic Components of Action Timing Decisions in Rodent Frontal Cortex

The selection and timing of actions are subject to determinate influences such as sensory cues and internal state as well as to effectively stochastic variability. Although stochastic choice mechanisms are assumed by many theoretical models, their origin and mechanisms remain poorly understood. Here...

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Published inNeuron (Cambridge, Mass.) Vol. 94; no. 4; pp. 908 - 919.e7
Main Authors Murakami, Masayoshi, Shteingart, Hanan, Loewenstein, Yonatan, Mainen, Zachary F.
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 17.05.2017
Elsevier Limited
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Abstract The selection and timing of actions are subject to determinate influences such as sensory cues and internal state as well as to effectively stochastic variability. Although stochastic choice mechanisms are assumed by many theoretical models, their origin and mechanisms remain poorly understood. Here we investigated this issue by studying how neural circuits in the frontal cortex determine action timing in rats performing a waiting task. Electrophysiological recordings from two regions necessary for this behavior, medial prefrontal cortex (mPFC) and secondary motor cortex (M2), revealed an unexpected functional dissociation. Both areas encoded deterministic biases in action timing, but only M2 neurons reflected stochastic trial-by-trial fluctuations. This differential coding was reflected in distinct timescales of neural dynamics in the two frontal cortical areas. These results suggest a two-stage model in which stochastic components of action timing decisions are injected by circuits downstream of those carrying deterministic bias signals. •Medial prefrontal cortex and secondary motor cortex are required for a waiting task•Medial prefrontal cortex encodes deterministic bias in action timing•Secondary motor cortex encodes stochastic variability in action timing•Distinct timescales of neural dynamics in frontal cortex reflect different functions Decisions are subject to both deterministic and stochastic influences. A study by Murakami et al. indicates that, in action timing decisions, these two components are differentially encoded in two areas of the rodent frontal cortex.
AbstractList The selection and timing of actions are subject to determinate influences such as sensory cues and internal state as well as to effectively stochastic variability. Although stochastic choice mechanisms are assumed by many theoretical models, their origin and mechanisms remain poorly understood. Here we investigated this issue by studying how neural circuits in the frontal cortex determine action timing in rats performing a waiting task. Electrophysiological recordings from two regions necessary for this behavior, medial prefrontal cortex (mPFC) and secondary motor cortex (M2), revealed an unexpected functional dissociation. Both areas encoded deterministic biases in action timing, but only M2 neurons reflected stochastic trial-by-trial fluctuations. This differential coding was reflected in distinct timescales of neural dynamics in the two frontal cortical areas. These results suggest a two-stage model in which stochastic components of action timing decisions are injected by circuits downstream of those carrying deterministic bias signals. •Medial prefrontal cortex and secondary motor cortex are required for a waiting task•Medial prefrontal cortex encodes deterministic bias in action timing•Secondary motor cortex encodes stochastic variability in action timing•Distinct timescales of neural dynamics in frontal cortex reflect different functions Decisions are subject to both deterministic and stochastic influences. A study by Murakami et al. indicates that, in action timing decisions, these two components are differentially encoded in two areas of the rodent frontal cortex.
The selection and timing of actions are subject to determinate influences such as sensory cues and internal state as well as to effectively stochastic variability. Although stochastic choice mechanisms are assumed by many theoretical models, their origin and mechanisms remain poorly understood. Here we investigated this issue by studying how neural circuits in the frontal cortex determine action timing in rats performing a waiting task. Electrophysiological recordings from two regions necessary for this behavior, medial prefrontal cortex (mPFC) and secondary motor cortex (M2), revealed an unexpected functional dissociation. Both areas encoded deterministic biases in action timing, but only M2 neurons reflected stochastic trial-by-trial fluctuations. This differential coding was reflected in distinct timescales of neural dynamics in the two frontal cortical areas. These results suggest a two-stage model in which stochastic components of action timing decisions are injected by circuits downstream of those carrying deterministic bias signals.
The selection and timing of actions are subject to determinate influences such as sensory cues and internal state as well as to effectively stochastic variability. Although stochastic choice mechanisms are assumed by many theoretical models, their origin and mechanisms remain poorly understood. Here we investigated this issue by studying how neural circuits in the frontal cortex determine action timing in rats performing a waiting task. Electrophysiological recordings from two regions necessary for this behavior, medial prefrontal cortex (mPFC) and secondary motor cortex (M2), revealed an unexpected functional dissociation. Both areas encoded deterministic biases in action timing, but only M2 neurons reflected stochastic trial-by-trial fluctuations. This differential coding was reflected in distinct timescales of neural dynamics in the two frontal cortical areas. These results suggest a two-stage model in which stochastic components of action timing decisions are injected by circuits downstream of those carrying deterministic bias signals.The selection and timing of actions are subject to determinate influences such as sensory cues and internal state as well as to effectively stochastic variability. Although stochastic choice mechanisms are assumed by many theoretical models, their origin and mechanisms remain poorly understood. Here we investigated this issue by studying how neural circuits in the frontal cortex determine action timing in rats performing a waiting task. Electrophysiological recordings from two regions necessary for this behavior, medial prefrontal cortex (mPFC) and secondary motor cortex (M2), revealed an unexpected functional dissociation. Both areas encoded deterministic biases in action timing, but only M2 neurons reflected stochastic trial-by-trial fluctuations. This differential coding was reflected in distinct timescales of neural dynamics in the two frontal cortical areas. These results suggest a two-stage model in which stochastic components of action timing decisions are injected by circuits downstream of those carrying deterministic bias signals.
Author Murakami, Masayoshi
Shteingart, Hanan
Loewenstein, Yonatan
Mainen, Zachary F.
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Snippet The selection and timing of actions are subject to determinate influences such as sensory cues and internal state as well as to effectively stochastic...
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SubjectTerms Animal models
Animals
Behavior, Animal
Bias
Biometrics
Circuits
Clinical trials
Computer applications
Cortex (frontal)
Cortex (motor)
Data processing
Decision making
Decision Making - physiology
Electrophysiological Phenomena
Excitotoxicity
Extinction behavior
Firing rate
Frontal Lobe - physiology
Gating
Learning
Limbic system
Mood
Motor Cortex - physiology
Nervous system
Neural networks
Neurons
Neurosciences
Prefrontal cortex
Prefrontal Cortex - physiology
Psychomotor Performance
Rats
Rodents
Somatosensory cortex
Temporal lobe
Time Factors
Title Distinct Sources of Deterministic and Stochastic Components of Action Timing Decisions in Rodent Frontal Cortex
URI https://dx.doi.org/10.1016/j.neuron.2017.04.040
https://www.ncbi.nlm.nih.gov/pubmed/28521140
https://www.proquest.com/docview/1901357540
https://www.proquest.com/docview/1900839704
Volume 94
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