OFC neurons do not represent the negative value of a conditioned inhibitor.

The orbitofrontal cortex (OFC) is often proposed to function as a value integrator; however, alternative accounts focus on its role in representing associative structures that specify the probability and sensory identity of future outcomes. These two accounts make different predictions about how this area should respond to conditioned inhibitors of reward, since in the former, neural activity should reflect the negative value of the inhibitor, whereas in the latter, it should track the estimated probability of a future reward based on all cues present. Here, we assessed these predictions by recording from small groups of neurons in the lateral OFC of rats during training in a conditioned inhibition design. Rats showed negative summation when the inhibitor was compounded with a novel excitor, suggesting that they learned to respond to the conditioned inhibitor appropriately. Against this backdrop, we found unit and population responses that scaled with expected reward value on excitor + inhibitor compound trials. However, the responses of these neurons did not differentiate between the conditioned inhibitor and a neutral cue when both were presented in isolation. Further, when the ensemble patterns were analyzed, activity to the conditioned inhibitor did not classify according to putative negative value. Instead, it classified with a same-modality neutral cue when presented alone and as a unique item when presented in compound with a novel excitor. This pattern of results supports the notion that OFC encodes a model of the causal structure of the environment rather than either the modality or the value of cues.

Persistent disruption of overexpectation learning after inactivation of the lateral orbitofrontal cortex in male rats.

RATIONALE AND OBJECTIVE: Learning to inhibit acquired fear responses is fundamental to adaptive behavior. Two procedures that support such learning are extinction and overexpectation. In extinction, an expected outcome is omitted, whereas in overexpectation two individually trained cues are presented in compound to induce an expectation of a greater outcome than that delivered. Previously, we showed that inactivation of the lateral orbitofrontal cortex (lOFC) in experimentally naïve male rats causes a mild impairment in extinction learning but a profound one in overexpectation. The mild extinction impairment was also transient; that is, it was absent in a cohort of rats that had prior history of inhibitory training (overexpectation, extinction) and their associated controls. This raised the question whether lOFC involvement in overexpectation could likewise be attenuated by prior experience. METHODS: Using a muscimol/baclofen cocktail, we inactivated the lOFC during overexpectation training in rats with prior associative learning history (extinction, overexpectation, control) and examined its contribution to reducing learned fear. RESULTS: Inactivating the lOFC during compound training in overexpectation persistently disrupted fear reduction on test in naïve rats and regardless of prior experience. Additionally, we confirm that silencing the lOFC only resulted in a mild impairment in extinction learning in naïve rats. CONCLUSION: We show that prior associative learning experience did not mitigate the deficit in overexpectation caused by lOFC inactivation. Our findings emphasize the importance of this region for this particular form of fear reduction and broaden our understanding of the conditions in which the lOFC modulates behavioral inhibition.

Parvalbumin interneuron loss mediates repeated anesthesia-induced memory deficits in mice.

Repeated or prolonged, but not short-term, general anesthesia during the early postnatal period causes long-lasting impairments in memory formation in various species. The mechanisms underlying long-lasting impairment in cognitive function are poorly understood. Here, we show that repeated general anesthesia in postnatal mice induces preferential apoptosis and subsequent loss of parvalbumin-positive inhibitory interneurons in the hippocampus. Each parvalbumin interneuron controls the activity of multiple pyramidal excitatory neurons, thereby regulating neuronal circuits and memory consolidation. Preventing the loss of parvalbumin neurons by deleting a proapoptotic protein, mitochondrial anchored protein ligase (MAPL), selectively in parvalbumin neurons rescued anesthesia-induced deficits in pyramidal cell inhibition and hippocampus-dependent long-term memory. Conversely, partial depletion of parvalbumin neurons in neonates was sufficient to engender long-lasting memory impairment. Thus, loss of parvalbumin interneurons in postnatal mice following repeated general anesthesia critically contributes to memory deficits in adulthood.

The Recruitment of a Neuronal Ensemble in the Central Nucleus of the Amygdala During the First Extinction Episode Has Persistent Effects on Extinction Expression.

BACKGROUND: Adaptive behavior depends on the delicate and dynamic balance between acquisition and extinction memories. Disruption of this balance, particularly when the extinction of memory loses control over behavior, is the root of treatment failure of maladaptive behaviors such as substance abuse or anxiety disorders. Understanding this balance requires a better understanding of the underlying neurobiology and its contribution to behavioral regulation. METHODS: We microinjected Daun02 in Fos-lacZ transgenic rats following a single extinction training episode to delete extinction-recruited neuronal ensembles in the basolateral amygdala (BLA) and central nucleus of the amygdala (CN) and examined their contribution to behavior in an appetitive Pavlovian task. In addition, we used immunohistochemistry and neuronal staining methods to identify the molecular markers of activated neurons in the BLA and CN during extinction learning or retrieval. RESULTS: CN neurons were preferentially engaged following extinction, and deletion of these extinction-activated ensembles in the CN but not the BLA impaired the retrieval of extinction despite additional extinction training and promoted greater levels of behavioral restoration in spontaneous recovery and reinstatement. Disrupting extinction processing in the CN in turn increased activity in the BLA. Our results also show a specific role for CN PKCδ+ neurons in behavioral inhibition but not during initial extinction learning. CONCLUSIONS: We showed that the initial extinction-recruited CN ensemble is critical to the acquisition-extinction balance and that greater behavioral restoration does not mean weaker extinction contribution. These findings provide a novel avenue for thinking about the neural mechanisms of extinction and for developing treatments for cue-triggered appetitive behaviors.

Peer review without gatekeeping.

eLife is changing its editorial process to emphasize public reviews and assessments of preprints by eliminating accept/reject decisions after peer review.

Understanding Associative Learning Through Higher-Order Conditioning.

Associative learning is often considered to require the physical presence of stimuli in the environment in order for them to be linked. This, however, is not a necessary condition for learning. Indeed, associative relationships can form between events that are never directly paired. That is, associative learning can occur by integrating information across different phases of training. Higher-order conditioning provides evidence for such learning through two deceptively similar designs - sensory preconditioning and second-order conditioning. In this review, we detail the procedures and factors that influence learning in these designs, describe the associative relationships that can be acquired, and argue for the importance of this knowledge in studying brain function.

Agency rescues competition for credit assignment among predictive cues from adverse learning conditions.

A fundamental assumption of learning theories is that the credit assigned to predictive cues is not simply determined by their probability of reinforcement, but by their ability to compete with other cues present during learning. This assumption has guided behavioral and neural science research for decades, and tremendous empirical and theoretical advances have been made identifying the mechanisms of cue competition. However, when learning conditions are not optimal (e.g., when training is massed), cue competition is attenuated. This failure of the learning system exposes the individual's vulnerability to form spurious associations in the real world. Here, we uncover that cue competition in rats can be rescued when conditions are suboptimal provided that the individual has agency over the learning experience. Our findings reveal a new effect of agency over learning on credit assignment among predictive cues, and open new avenues of investigation into the underlying mechanisms.

Mechanisms of higher-order learning in the amygdala.

Adaptive behaviour is under the potent control of environmental cues. Such cues can acquire value by virtue of their associations with outcomes of motivational significance, be they appetitive or aversive. There are at least two ways through which an environmental cue can acquire value, through first-order and higher-order conditioning. In first-order conditioning, a neutral cue is directly paired with an outcome of motivational significance. In higher-order conditioning, a cue is indirectly associated with motivational events via a directly conditioned first-order stimulus. The present article reviews some of the associations that support learning in first- and higher-order conditioning, as well as the role of the BLA and the molecular mechanisms involved in these two types of learning.

Threat perception: Fear and the retrorubal field.

A new study has found that neurons within a structure of the rat midbrain known as the retrorubral field show diverse responses to stimuli that signal different levels of threat, as well as a separate pattern of diverse responses to differentially predicted aversive outcomes.

Neural substrates of appetitive and aversive prediction error.

Prediction error, defined by the discrepancy between real and expected outcomes, lies at the core of associative learning. Behavioural investigations have provided evidence that prediction error up- and down-regulates associative relationships, and allocates attention to stimuli to enable learning. These behavioural advances have recently been followed by investigations into the neurobiological substrates of prediction error. In the present paper, we review neuroscience data obtained using causal and recording neural methods from a variety of key behavioural designs. We explore the neurobiology of both appetitive (reward) and aversive (fear) prediction error with a focus on the mesolimbic dopamine system, the amygdala, ventrolateral periaqueductal gray, hippocampus, cortex and locus coeruleus noradrenaline. New questions and avenues for research are considered.

Adaptive behaviour under conflict: Deconstructing extinction, reversal, and active avoidance learning.

In complex environments, organisms must respond adaptively to situations despite conflicting information. Under natural (i.e. non-laboratory) circumstances, it is rare that cues or responses are consistently paired with a single outcome. Inconsistent pairings are more common, as are situations where cues and responses are associated with multiple outcomes. Such inconsistency creates conflict, and a response that is adaptive in one scenario may not be adaptive in another. Learning to adjust responses accordingly is important for species to survive and prosper. Here we review the behavioural and brain mechanisms of responding under conflict by focusing on three popular behavioural procedures: extinction, reversal learning, and active avoidance. Extinction involves adapting from reinforcement to non-reinforcement, reversal learning involves swapping the reinforcement of cues or responses, and active avoidance involves performing a response to avoid an aversive outcome, which may conflict with other defensive strategies. We note that each of these phenomena relies on somewhat overlapping neural circuits, suggesting that such circuits may be critical for the general ability to respond appropriately under conflict.

Female rats take longer than male rats to update reward expectancies when outcomes are worse than expected.

The ability to update predictive relationships and adjust behavior accordingly is critical for survival. Females take longer to update expectancies under conditions of outcome omission. It remains unknown whether that is also the case under conditions when outcomes are delivered such as in overexpectation. Here we examined whether male and female rats are able to learn from overexpectation using the same learning parameters. Our data show that males but not females learn from overexpectation when given just a single day of compound training, whereas both sexes learn when given extended 2 days of overexpectation training. These data provide important insight into sex differences that link with prior work and thus open an avenue for the study of how conflicting memories interact in the male and female brain. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Different methods of fear reduction are supported by distinct cortical substrates.

Understanding how learned fear can be reduced is at the heart of treatments for anxiety disorders. Tremendous progress has been made in this regard through extinction training in which the aversive outcome is omitted. However, current progress almost entirely rests on this single paradigm, resulting in a very specialized knowledgebase at the behavioural and neural level of analysis. Here, we used a dual-paradigm approach to show that different methods that lead to reduction in learned fear in rats are dissociated in the cortex. We report that the infralimbic cortex has a very specific role in fear reduction that depends on the omission of aversive events but not on overexpectation. The orbitofrontal cortex, a structure generally overlooked in fear, is critical for downregulating fear when novel predictions about upcoming aversive events are generated, such as when fear is inflated or overexpected, but less so when an expected aversive event is omitted.

A self-initiated cue-reward learning procedure for neural recording in rodents.

BACKGROUND: Single-unit recording in Pavlovian conditioning tasks requires the use of within-subject designs as well as sampling a considerable number of trials per trial type and session, which increases the total trial count. Pavlovian conditioning, on the other hand, requires a long average intertrial interval (ITI) relative to cue duration for cue-specific learning to occur. These requirements combined can make the session duration unfeasibly long. NEW METHOD: To circumvent this issue, we developed a self-initiated variant of the Pavlovian magazine-approach procedure in rodents. Unlike the standard procedure, where the animals passively receive the trials, the self-initiated procedure grants animals agency to self-administer and self-pace trials from a predetermined, pseudorandomized list. Critically, whereas in the standard procedure the typical ITI is in the order of minutes, our procedure uses a much shorter ITI (10 s). RESULTS: Despite such a short ITI, discrimination learning in the self-initiated procedure is comparable to that observed in the standard procedure with a typical ITI, and superior to that observed in the standard procedure with an equally short ITI. COMPARISON WITH EXISTING METHOD(S): The self-initiated procedure permits delivering 100 trials in a ∼1-h session, almost doubling the number of trials safely attainable over that period with the standard procedure. CONCLUSIONS: The self-initiated procedure enhances the collection of neural correlates of cue-reward learning while producing good discrimination performance. Other advantages for neural recording studies include ensuring that at the start of each trial the animal is engaged, attentive and in the same location within the conditioning chamber.

Causal evidence supporting the proposal that dopamine transients function as temporal difference prediction errors.

Reward-evoked dopamine transients are well established as prediction errors. However, the central tenet of temporal difference accounts-that similar transients evoked by reward-predictive cues also function as errors-remains untested. In the present communication we addressed this by showing that optogenetically shunting dopamine activity at the start of a reward-predicting cue prevents second-order conditioning without affecting blocking. These results indicate that cue-evoked transients function as temporal-difference prediction errors rather than reward predictions.

Dopamine Signaling Is Critical for Supporting Cue-Driven Behavioral Control.

Mesolimbic dopamine has been implicated in reward learning. Fischbach-Weiss and Janak (this issue) use optogenetics to attenuate dopamine signaling and study its role in cue-driven motivated behavior.

The serial blocking effect: a testbed for the neural mechanisms of temporal-difference learning.

Temporal-difference (TD) learning models afford the neuroscientist a theory-driven roadmap in the quest for the neural mechanisms of reinforcement learning. The application of these models to understanding the role of phasic midbrain dopaminergic responses in reward prediction learning constitutes one of the greatest success stories in behavioural and cognitive neuroscience. Critically, the classic learning paradigms associated with TD are poorly suited to cast light on its neural implementation, thus hampering progress. Here, we present a serial blocking paradigm in rodents that overcomes these limitations and allows for the simultaneous investigation of two cardinal TD tenets; namely, that learning depends on the computation of a prediction error, and that reinforcing value, whether intrinsic or acquired, propagates back to the onset of the earliest reliable predictor. The implications of this paradigm for the neural exploration of TD mechanisms are highlighted.

Thought control with the dopamine transient.

Fine-tuning and coordinating neural activity is essential for an efficient brain. Athalye and colleagues (2018) provide important evidence that neural patterns can be streamlined by inducing dopamine transients.

Dissociation of Appetitive Overexpectation and Extinction in the Infralimbic Cortex.

Behavioral change is paramount to adaptive behavior. Two ways to achieve alterations in previously established behavior are extinction and overexpectation. The infralimbic (IL) portion of the medial prefrontal cortex controls the inhibition of previously established aversive behavioral responses in extinction. The role of the IL cortex in behavioral modification in appetitive Pavlovian associations remains poorly understood. Here, we seek to determine if the IL cortex modulates overexpectation and extinction of reward learning. Using overexpectation or extinction to achieve a reduction in behavior, the present findings uncover a dissociable role for the IL cortex in these paradigms. Pharmacologically inactivating the IL cortex left overexpectation intact. In contrast, pre-training manipulations in the IL cortex prior to extinction facilitated the reduction in conditioned responding but led to a disrupted extinction retrieval on test drug-free. Additional studies confirmed that this effect is restricted to the IL and not dependent on the dorsally-located prelimbic cortex. Together, these results show that the IL cortex underlies extinction but not overexpectation-driven reduction in behavior, which may be due to regulating the expression of conditioned responses influenced by stimulus-response associations rather than stimulus-stimulus associations.