Orbital cortex neuronal responses during an odor-based conditioned associative task in rats

Yonemori, Makoto; Nishijo, Hisao; Uwano, Teruko; Tamura, Ryoi; Furuta, Isao; Kawasaki, Michiaki; Takashima, Yasuhiro; Ono, Taketoshi

doi:10.1016/s0306-4522(99)00475-3

Cited by 25 publications

(16 citation statements)

References 79 publications

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“…4b: Orbitofrontal cells distinguish between appetitive and aversive stimuli and respond in proportion to the drive or incentive value of a stimulus (Thorpe et al, 1983;Hikosaka and Watanabe, 2000;Schoenbaum et al, 2003;Roesch and Olson, 2004). Here the electrophysiologically recorded activity from an orbitofrontal neuron during the performance of the CS task is compared with the activity from a simulated ORB neuron performing the same task [Data reprinted with permission from Yonemori et al (2000)]. 4c: Electrophysiological profile of a reward-responsive orbitofrontal cell recorded during a free reward task (Tremblay and Schultz, 2000a, b) compared with the response from a simulated MORB cell [Reprinted with permission from Tremblay and Schultz (2000a)].…”

Section: Model Inputs and Outputs The Neural Model Inmentioning

confidence: 99%

Dopaminergic and non-dopaminergic value systems in conditioning and outcome-specific revaluation

2008

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Section: Model Inputs and Outputs The Neural Model Inmentioning

confidence: 99%

Dopaminergic and non-dopaminergic value systems in conditioning and outcome-specific revaluation

2008

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“…(K) Model AMYG US drive value category cell selectively responds to conditioned stimuli and reflects expected value of US. (L) Stimulus-selective orbitofrontal cell (reprinted with permission from Yonemori et al, 2000). (M) Model ORB l cell reflects incentive value and responds in a stimulus-selective fashion to CS.…”

Section: Tasksmentioning

confidence: 99%

Neural dynamics underlying impaired autonomic and conditioned responses following amygdala and orbitofrontal lesions.

Grossberg

Bullock

Dranias

2008

Behavioral Neuroscience

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A neural model is presented that explains how outcome-specific learning modulates affect, decision-making and Pavlovian conditioned approach responses. The model addresses how brain regions responsible for affective learning and habit learning interact, and answers a central question: What are the relative contributions of the amygdala and orbitofrontal cortex to emotion and behavior? In the model, the amygdala calculates outcome value while the orbitofrontal cortex influences attention and conditioned responding by assigning value information to stimuli. Model simulations replicate autonomic, electrophysiological, and behavioral data associated with three tasks commonly used to assay these phenomena: Food consumption, Pavlovian conditioning, and visual discrimination. Interactions of the basal ganglia and amygdala with sensory and orbitofrontal cortices enable the model to replicate the complex pattern of spared and impaired behavioral and emotional capacities seen following lesions of the amygdala and orbitofrontal cortex.

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“…Studies examining single-unit activity in OFC during operant behavior demonstrated that firing rates are modulated by the motivational value of stimuli and represent reward-predictive information during anticipation of various types or amounts of reward (Thorpe et al, 1983;Lipton et al, 1999;Schoenbaum et al, 1999Schoenbaum et al, , 2003Tremblay and Schultz, 1999;Hikosaka and Watanabe, 2000;Yonemori et al, 2000;Wallis and Miller, 2003;Roesch and Olson, 2004;Ichihara-Takeda and Funahashi, 2006;Padoa-Schioppa and Assad, 2006;Roesch et al, 2006;Ramus et al, 2007;Simmons and Richmond, 2008). These single-cell studies have not shown how predicted or actual rewards are dynamically represented by populations in OFC.…”

Section: Introductionmentioning

confidence: 99%

Population Coding of Reward Magnitude in the Orbitofrontal Cortex of the Rat

Duuren

Lankelma²,

Pennartz³

2008

J. Neurosci.

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Although single-cell coding of reward-related information in the orbitofrontal cortex (OFC) has been characterized to some extent, much less is known about the coding properties of orbitofrontal ensembles. We examined population coding of reward magnitude by performing ensemble recordings in rat OFC while animals learned an olfactory discrimination task in which various reinforcers were associated with predictive odor stimuli. Ensemble activity was found to represent information about reward magnitude during several trial phases, namely when animals moved to the reward site, anticipated reward during an immobile period, and received it. During the anticipation phase, Bayesian and template-matching reconstruction algorithms decoded reward size correctly from the population activity significantly above chance level (highest value of 43 and 48%, respectively; chance level, 33.3%), whereas decoding performance for the reward delivery phase was 76 and 79%, respectively. In the anticipation phase, the decoding score was only weakly dependent on the size of the neuronal group participating in reconstruction, consistent with a redundant, distributed representation of reward information. In contrast, decoding was specific for temporal segments within the structure of a trial. Decoding performance steeply increased across the first few trials for every rewarded odor, an effect that could not be explained by a nonspecific drift in response strength across trials. Finally, when population responses to a negative reinforcer (quinine) were compared with sucrose reinforcement, coding in the delivery phase appeared to be related to reward quality, and thus was not based on ingested liquid volume.

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Orbital cortex neuronal responses during an odor-based conditioned associative task in rats

Cited by 25 publications

References 79 publications

Dopaminergic and non-dopaminergic value systems in conditioning and outcome-specific revaluation

Dopaminergic and non-dopaminergic value systems in conditioning and outcome-specific revaluation

Neural dynamics underlying impaired autonomic and conditioned responses following amygdala and orbitofrontal lesions.

Population Coding of Reward Magnitude in the Orbitofrontal Cortex of the Rat

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