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Opponent-process theory

Opponent-process theory is a psychological framework that explains perceptual and emotional phenomena through pairs of opposing processes, where activation of one inhibits the other to maintain balance in neural or affective responses. Originally developed in the context of color vision by German physiologist Ewald Hering in the late 19th century, the theory posits that human color perception arises from antagonistic neural channels rather than independent color receptors alone. Independently, in the realm of motivation and emotion, psychologists Richard L. Solomon and John D. Corbit extended a similar opponent-process model in 1974 to account for how repeated emotional experiences generate acquired motivations, such as in addiction or attachment, through dynamic interactions between primary and counteracting affective states.^[1] In visual perception, Hering's opponent-process theory proposes three paired channels: red-green, blue-yellow, and black-white (or luminance), where excitation in one channel suppresses activity in its opponent, explaining why impossible colors like reddish-green are never perceived and why negative afterimages occur—such as seeing a green tint after prolonged exposure to red. This model complements the earlier trichromatic theory by Young and Helmholtz, which describes cone receptor sensitivities, by addressing post-receptoral processing in the retina and lateral geniculate nucleus, as supported by electrophysiological studies showing opponent cells in primate visual pathways. For instance, staring at a red image fatigues the red channel, allowing the green opponent to dominate upon shifting gaze, producing a complementary afterimage—a phenomenon Hering used to challenge purely additive color mixing. Modern neuroscience validates these channels through functional MRI and single-cell recordings, though the theory has evolved to incorporate cortical processing beyond the initial retinal stage.^[1]^[2] Solomon and Corbit's application to emotion and motivation introduces the A-process as the rapid, primary affective reaction to a stimulus (e.g., pleasure from a drug or fear from a thrill-seeking activity) and the B-process as a slower, opposing response that rises to counteract it, persisting longer after the stimulus ends. With repetition, the A-process habituates (weakens in intensity), while the B-process strengthens and activates more quickly, leading to tolerance, withdrawal symptoms, and motivational shifts—such as the escalating cravings in substance addiction where initial euphoria diminishes but dysphoric aftereffects intensify. This framework applies beyond drugs to phenomena like romantic attachment (initial passion yielding to jealousy or dependency) and fear conditioning (e.g., skydiving's terror evolving into euphoric relief), supported by animal studies on morphine tolerance and human reports of emotional contrast. Solomon later elaborated in 1980 that these dynamics underlie "the costs of pleasure and the benefits of pain," driving diverse acquired behaviors through hedonic adaptation. Empirical evidence includes conditioned opponent responses in rats, where opioid rewards elicit subsequent aversion, aligning with the theory's predictions on affective homeostasis.^[3]

Introduction

Core Principles

Opponent-process theory posits a fundamental framework in which stimuli elicit primary neural or psychological processes that are dynamically opposed by secondary processes, fostering a balanced state of homeostasis in perceptual and emotional systems. This opposition ensures that experiences are regulated through reciprocal interactions, where the activation of one process diminishes the intensity of the other, preventing unbounded escalation or instability. The theory, originally articulated in the context of color vision and later extended to motivation, emphasizes how these paired processes underpin contrast and adaptation in human experience.^[1] Broadly applicable to sensory domains like vision and affective realms such as emotion, the theory describes how an initial response to a stimulus—whether perceptual excitation or hedonic tone—triggers a countervailing process that emerges more slowly but persists longer, modulating the overall sensation. For instance, in sensory perception, this manifests in color contrasts where excitation in one channel inhibits its opponent, while in emotional states, it explains shifts between pleasure and discomfort as opposing affective tones balance each other. With repeated stimulation, the opponent process strengthens, promoting adaptation and reducing the salience of the primary response over time. A central postulate is the mutual inhibition between these processes, which precludes the simultaneous occurrence of contradictory states, such as perceiving a surface as both reddish and greenish or experiencing pure pleasure alongside unmitigated pain. This inhibitory dynamic accounts for observable phenomena like visual afterimages, where prolonged fixation on one color yields the perception of its complement upon gaze aversion, illustrating the rebound of the suppressed opponent process. Similarly, in emotional contexts, the subsidence of acute stress often yields a rebound of relief or positive affect, highlighting the theory's role in explaining temporal contrasts in motivation and feeling.

Historical Development

The opponent-process theory originated in the field of color vision with the work of German physiologist Ewald Hering, who introduced it in 1878 as a physiological explanation for color perception, positing antagonistic pairs of color processes (red-green, blue-yellow, and black-white) that directly opposed the additive trichromatic model proposed by Thomas Young and Hermann von Helmholtz.^[4] Hering's theory challenged the prevailing view by emphasizing innate oppositional mechanisms in the visual system rather than relying solely on three independent cone types.^[5] Hering further developed and elaborated his ideas in the late 19th century through key publications, including his 1878 work Grundzüge einer Theorie des Farbensinnes and subsequent treatises on the physiology of light and color sensation, such as Zur Lehre vom Lichtsinne (1876–1878). Early experimental support for Hering's framework came from observations of color afterimages, where prolonged exposure to one color (e.g., red) produced a complementary afterimage in the antagonistic hue (e.g., greenish-blue), demonstrating the theory's predictive power for visual adaptation phenomena. The theory experienced a significant revival in the 20th century when psychologists Richard L. Solomon and John D. Corbit extended it in 1974 to motivational and emotional domains, applying the oppositional dynamics to explain phenomena such as addiction, where an initial hedonic state (A-process) triggers a counteracting affective state (B-process).^[6] Solomon later refined this hedonic theory of motivation in his 1980 article, integrating opponent processes with concepts of acquired motivation and highlighting their role in balancing pleasure and pain.^[7] This adaptation drew conceptual influences from Walter Cannon's 1932 formulation of homeostasis, which described physiological systems maintaining equilibrium through compensatory responses, and later interpretations incorporated allostasis—the proactive adjustment of stability through change—as seen in models of addiction where repeated stimuli shift baseline affective states.^[8]

Application to Color Vision

Opponent Color Channels

The opponent color channels form the core of the opponent-process theory as applied to color vision, positing three antagonistic pairs that encode color information: red-green, blue-yellow, and black-white (or achromatic luminance). The red-green channel arises from the differential activation of long-wavelength-sensitive (L) cones and medium-wavelength-sensitive (M) cones, where L-cone excitation promotes red perception while inhibiting green, and vice versa for M-cone dominance. The blue-yellow channel contrasts short-wavelength-sensitive (S) cone signals against the summed activity of L and M cones, with S-cone activation driving blue and suppressing yellow, or combined L+M favoring yellow over blue. The black-white channel, meanwhile, handles overall light-dark contrasts independent of hue, integrating luminance across all cone types to support brightness perception. These channels collectively transform cone signals into a perceptual framework that emphasizes color differences rather than absolute activations.^[9]^[10] Central to this model is mutual inhibition within each pair, whereby excitation at one pole (e.g., red) actively suppresses the opposing pole (e.g., green), ensuring that complementary colors cannot coexist in perception. This bidirectional antagonism arises from neural circuitry that balances excitatory and inhibitory inputs, preventing intermediate hues like reddish-green and aligning with the theory's prediction that opponent responses are zero-sum. As a result, the visual system processes colors as relational oppositions, enhancing contrast detection and efficiency in encoding the spectrum.^[9]00147-X) Supporting evidence emerges from several perceptual phenomena. Negative afterimages exemplify channel fatigue: staring at a saturated red field exhausts the red-excitatory response in the red-green channel, leading to a rebound green afterimage upon shifting to a neutral background, as the uninhibited green pole dominates transiently. Color blindness patterns further validate the model; in protanopia, the absence of functional L cones eliminates red-green opposition, causing reds to appear as desaturated greens or blacks, while sparing blue-yellow processing. The McCollough effect illustrates contingent opponency, where adaptation to oriented colored gratings (e.g., vertical red-horizontal green) induces weak opponent color aftereffects in subsequent achromatic gratings of the same orientation, revealing how opponent channels interact with spatial features in early visual adaptation.^[11]^[12]^[13] At the physiological level, opponent color channels originate in retinal ganglion cells of the parvocellular pathway, which display center-surround receptive fields tuned for chromatic opponency. These cells, comprising about 80% of the optic nerve, respond with excitation to one color in the center and inhibition to the opponent color in the surround—for example, red-on/green-off or blue-off/yellow-on—thereby computing local color contrasts before relaying signals to the lateral geniculate nucleus. This early retinal implementation underscores the theory's neural plausibility, with parvocellular layers preserving opponent organization for higher visual processing.80846-6)^[14]

Relation to Trichromatic Theory

The trichromatic theory, also known as the Young-Helmholtz theory, proposes that color vision begins with three types of cone photoreceptors in the retina, sensitive to long (L), medium (M), and short (S) wavelengths, with peak sensitivities at approximately 564 nm (red), 534 nm (green), and 420 nm (blue), respectively. These cones provide the initial encoding of light wavelengths through differential absorption, allowing for the mixing of primary colors to match a wide range of hues.^[15]^[16] Opponent-process theory complements this by addressing perceptual organization beyond the retinal level, where opponent color channels emerge post-receptorially to process contrasts such as red-green and blue-yellow. In their 1957 computational model, Hurvich and Jameson integrated the two theories by positing that trichromacy governs photochemical absorption at the cones, while opponency arises from neural interactions in subsequent visual pathways, enabling phenomena like color constancy and hue perception that trichromacy alone cannot explain.^[17]^[9] Evidence for their complementarity includes color-matching experiments, which demonstrate that most spectral lights can be matched using just three primaries, supporting trichromacy at the receptor stage, while afterimages and simultaneous contrast effects—such as a red surround making a gray appear greenish—reveal opponent mechanisms that enhance perceptual differences.^[16]^[18] The historical debate between the theories, dating back to Young-Helmholtz versus Hering, was resolved in the 1960s through electrophysiological studies by De Valois and colleagues, who identified opponent-responsive cells in the lateral geniculate nucleus (LGN) of monkeys, confirming that cone signals are transformed into opponent representations en route to the cortex, thus bridging retinal trichromacy with perceptual opponency.^[19]

Application to Emotion and Motivation

A-Process and B-Process Dynamics

In opponent-process theory as applied to emotion and motivation, the A-process represents the primary, stimulus-bound affective reaction elicited by an external or internal stimulus. This process features a rapid onset and offset, with its intensity and duration directly proportional to the strength, quality, and duration of the eliciting stimulus. For instance, it manifests as immediate pleasure in response to a rewarding event or acute fear during a threatening encounter. The A-process remains relatively stable and unchanged across repeated exposures to the same stimulus, serving as the initial hedonic or emotional response that drives approach or avoidance behaviors. The B-process, in contrast, is the opponent or compensatory reaction that opposes the A-process, emerging as a slower, more prolonged affective state. It exhibits a delayed onset—typically building gradually during the stimulus presentation—and a sluggish decay that persists well after the stimulus ends, often peaking post-exposure. With repeated stimulus presentations, the B-process increases in amplitude and duration, a phenomenon that underlies tolerance to the initial affective response. This strengthening occurs through associative learning, where cues linked to the stimulus become conditioned triggers for the B-process, such as dysphoria following euphoria or relief after fear. The dynamics between the A- and B-processes form the core mechanism of the theory, where the A-process automatically elicits the B-process as a counterbalancing force. Initially, the faster A-process dominates, producing a net affective state (State A) aligned with the stimulus's valence. As the B-process builds, it subtracts from the A-process, but due to its temporal lag, the net effect during stimulus presence is a moderated version of State A. Post-stimulus, the lingering B-process creates an opposing net state (State B), shifting the affective balance toward the opposite valence. Over multiple trials, habituation leaves the A-process intact while the B-process grows stronger and faster, eventually dominating and transforming the overall response—for example, converting initial pleasure into persistent craving or aversion. These interactions are often illustrated through qualitative graphs depicting the time courses of affective states, showing overlapping curves where the B-process envelope expands with repetition. Qualitatively, such dynamics emphasize how repeated pairings lead to a conditioned B-process that anticipates and overshadows the A-process, as visualized in schematic plots of hedonic trajectories across sessions. This opponent interplay serves a homeostatic rationale, functioning to restore emotional equilibrium by counteracting extremes in affective states, much like allostatic processes that anticipate and adapt to perturbations for long-term stability rather than mere reactive homeostasis. Recent neurobiological research has extended these principles to explain addiction and emotional dysregulation, integrating opponent processes with brain reward systems.^[20]

Examples in Behavior

Opponent-process theory provides a framework for understanding various behavioral phenomena where an initial affective state (A-process) is counteracted by an opposing state (B-process), leading to adaptation and motivation over repeated exposures. In the context of addiction, particularly with opioids like morphine, the initial administration elicits a primary A-process of euphoria and pleasure, which is rapidly followed by a weaker B-process of dysphoria or discomfort. With repeated use, the B-process strengthens and becomes more dominant even during abstinence, manifesting as withdrawal symptoms such as anxiety, irritability, and craving that drive continued drug-seeking behavior to restore hedonic balance.^[3]^[7] This dynamic explains the progression from occasional use to dependence, as the amplified B-process creates a powerful negative motivation that overshadows the diminishing A-process pleasure.^[21] Phobias and conditioned fear responses illustrate the theory in thrill-seeking or exposure-based behaviors. For instance, novice skydivers or parachutists experience an intense A-process of terror and pain during the initial jump, quickly opposed by a B-process of relief and euphoria upon safe landing. Over multiple jumps, the A-process fear habituates and weakens, while the B-process pleasure intensifies, resulting in reduced anxiety and a newfound motivation to repeat the activity, as observed in studies of parachutists from the 1970s.^[3]^[7] This pattern accounts for the acquisition of motivations in high-risk activities, where the strengthened opponent response transforms aversion into attraction.^[22] The grieving process following loss exemplifies emotional adaptation through opponent dynamics. The death of a loved one triggers a profound A-process of attachment and love, but upon separation, it gives way to a B-process of grief and sorrow characterized by dejection and longing. As time passes and the loss is repeatedly confronted, the B-process grief diminishes in intensity, allowing cherished memories—a residual positive affective state—to emerge and mitigate the pain, thereby explaining the gradual lessening of mourning over time. This rebound effect underscores how opponent processes facilitate recovery from emotional disruptions without erasing the original bond.^[3] Other motivational behaviors, such as eating and sexual activity, also reflect A- and B-process interactions. In hunger, the A-process involves the pleasure of food consumption satisfying deprivation, opposed by a B-process of aversion to overeating that promotes moderation; repeated indulgence can strengthen the B-process, leading to tolerance for larger amounts before discomfort arises.^[23] Similarly, sexual arousal represents an A-process of intense pleasure and excitement, potentially followed by a B-process of melancholy or post-coital tristesse in some individuals, where the subsequent emotional dip counters the peak, influencing patterns of pursuit and satiation. These examples highlight the theory's role in balancing hedonic drives to prevent extremes.^[3] Empirical support for these behavioral applications comes from animal studies on morphine tolerance, which demonstrate opponent responses in neural reward systems. In rodents, initial morphine injections produce analgesia and reward via activation of hedonic hotspots in the nucleus accumbens, but repeated dosing leads to tolerance through an opposing B-process that manifests as hyperalgesia and aversion during withdrawal, even in brain regions tuned for pleasure processing.^[21] Lesion studies further confirm this by showing that disrupting reward pathways blocks both the initial positive effects and the subsequent opponent negative states, validating the theory's motivational predictions in preclinical models.^[24]

Neural and Physiological Basis

Mechanisms in Visual Processing

In the retina, signals from the three types of cone photoreceptors—long-wavelength-sensitive (L-cones), medium-wavelength-sensitive (M-cones), and short-wavelength-sensitive (S-cones)—converge onto bipolar cells and retinal ganglion cells (RGCs), where initial color opponency emerges through inhibitory feedback from horizontal cells at the first synapse.^[25] Midget RGCs, which receive inputs primarily from L- and M-cones, exhibit opponent responses such as red-on-center/green-off-surround or green-on-center/red-off-surround organization, enabling efficient encoding of chromatic differences via center-surround receptive fields.^[26] Bistratified ganglion cells, processing S-cone inputs, support blue-yellow opponency by integrating on/off bipolar pathways.^[27] These opponent signals are relayed to the lateral geniculate nucleus (LGN) of the thalamus, where parvocellular layers primarily process red-green (L-M) opponency through small, color-selective cells, while koniocellular layers handle blue-yellow (S-(L+M)) opponency.^[28] In contrast, magnocellular LGN layers focus on achromatic luminance and motion detection without color selectivity, segregating parallel pathways for chromatic and achromatic processing.^[29] In the primary visual cortex (V1), color-opponent inputs from the LGN target cytochrome oxidase blobs in layers II and III, where double-opponent cells refine chromatic contrast by responding to opponent colors in both center and surround regions.^[30] Higher integration occurs in area V4, which supports color constancy and complex form-color binding, drawing on opponent signals for perceptual stability under varying illumination.^[31] Functional magnetic resonance imaging (fMRI) studies from the late 1990s demonstrate opponent coding in humans, with V1 showing stronger activation for isoluminant red-green (L-M) stimuli compared to luminance-modulated patterns, indicating a predominance of color-opponent neurons.^[32] The opponent-process organization provides evolutionary advantages by enhancing edge and contrast detection in natural scenes while minimizing neural redundancy in color signaling, allowing efficient transmission of chromatic information alongside luminance processing.^[33] Disorders such as achromatopsia, resulting from cone dysfunction or loss, disrupt opponency at the retinal level, leading to complete color blindness while preserving some residual boundary detection via retained ganglion cell responses; cerebral achromatopsia from V4 lesions further impairs higher opponent integration, causing grayscale vision despite intact low-level pathways.^[34] Color agnosia, often linked to occipitotemporal damage, selectively impairs color recognition and categorization without abolishing basic opponent perception, highlighting the role of cortical mechanisms in linking opponency to object identification.

Mechanisms in Emotional Regulation

The opponent-process theory posits that emotional and motivational responses involve neurobiological mechanisms where an initial A-process elicits a primary affective state, followed by a compensatory B-process that opposes it, primarily through distinct brain circuits and chemical signaling. In contexts of fear and pain, the amygdala, particularly its central nucleus, drives the A-process by rapidly processing aversive stimuli and initiating stress responses, such as heightened arousal and autonomic activation.^[21] For hedonic A-processes, such as pleasure from rewarding stimuli like drugs, the nucleus accumbens in the ventral striatum activates to mediate reinforcement and motivational drive.^[21] The prefrontal cortex, including the orbitofrontal and ventromedial regions, plays a key role in modulating the B-process, facilitating habituation and inhibitory control to dampen prolonged emotional responses and restore balance.^[35] Neurotransmitter dynamics underpin these opponent interactions, with surges in dopamine within the mesolimbic pathway, particularly the nucleus accumbens, underlying the euphoric A-process in addictive behaviors, promoting approach and reward-seeking.^[21] In contrast, the B-process involves rebound effects, including elevated norepinephrine in the bed nucleus of the stria terminalis to heighten anxiety and aversion, alongside reduced serotonin levels in the nucleus accumbens that contribute to dysphoria and withdrawal states.^[21] These shifts reflect adaptive opposition to maintain affective homeostasis, as seen in addiction where initial dopamine-driven pleasure gives way to noradrenergic and serotonergic imbalances fostering negative reinforcement. Prolonged activation of the B-process contributes to allostatic load, a state of chronic deviation from baseline functioning, where dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis exacerbates stress-related disorders like anxiety and depression by sustaining elevated corticotropin-releasing factor (CRF) and cortisol levels.^[36] Evidence from positron emission tomography (PET) scans in opioid users demonstrates these opponent shifts, with initial activation in the ventral striatum during drug intake reflecting reward processing, followed by later aversion signals in the insula during withdrawal, indicating neuroadaptations in affective circuits.^[21] Animal lesion studies further confirm these circuits; for instance, disruptions in the ventral tegmental area or amygdala alter opponent responses to opiates, reducing withdrawal-induced anxiety while preserving initial reward, thus validating the anatomical separation of A- and B-processes.^[37]

Criticisms and Extensions

Key Limitations

One major limitation of opponent-process theory in its application to color vision lies in its oversimplification of color appearance, as the binary opponent channels fail to adequately capture nuanced hues such as purples or oranges, which do not neatly align with the proposed unique opponent pairs like red-green or blue-yellow.^[38] For instance, the saturated orange peel is questioned as truly "reddish-yellow" under this framework, highlighting how the theory struggles with colors that blend beyond strict oppositions.^[38] Additionally, neural encoding in areas like the lateral geniculate nucleus (LGN) and primary visual cortex (V1) does not match Hering's postulated opponent mechanisms, with "blue-yellow" cells responding to non-opponent stimuli like lavender or lime, indicating a mismatch between the theory's predictions and physiological reality.^[38]^[39] In the domain of emotion and motivation, the theory's binary A-process (initial affective response) and B-process (opposing rebound) structure is criticized for oversimplifying complex emotional experiences, reducing multifaceted states like bittersweet feelings to opposing pairs without accounting for their simultaneous occurrence or gradations.^[20] This approach emphasizes emotional responses over deeper etiological factors, such as genetic or environmental contributors to motivation, limiting its explanatory power for diverse affective dynamics.^[20] The B-process is described as a latent, automatically elicited opponent response that strengthens with repetition. Empirical support for the theory's predictions in emotional contexts, particularly addiction, is inconsistent. While the model explains negative reinforcement in drug dependence through escalating withdrawal (B-process), it has limitations in accounting for all motivational outcomes. Historically, Hering's opponent-process theory for color vision faced dismissal by contemporaries like Helmholtz, who argued it relied too heavily on subjective introspection and unproven neural hypotheses rather than direct physiological evidence, favoring the trichromatic model instead.^[39] Regarding testability, while afterimage phenomena provide strong, direct evidence for opponent processes in vision—demonstrating color-specific rebounds after prolonged stimulation—the emotional applications rely heavily on correlational data from self-reports or behavioral observations, lacking causal manipulations to isolate B-process effects from alternative explanations like habituation alone.^[39]

Modern Applications and Research

In the 2020s, opponent-process theory has been integrated into neuroscience frameworks for behavioral addictions. For instance, empirical studies on short-form video platforms demonstrate how platform features amplify these opponent dynamics, leading to addictive patterns through repeated hedonic contrasts.^[40] Contemporary applications extend opponent-process theory to digital media and mental health contexts. In social media use, the theory elucidates the dopamine-driven highs of engagement (A-process) contrasted with subsequent lows such as fear of missing out (FOMO) or anxiety (B-process), contributing to compulsive checking behaviors. Similarly, in mental health, the framework has been applied to understand addictive behaviors in PTSD among military service members, where combat attachment patterns contribute to chronicity through opponent dynamics.^[41]^[42] Recent neurobiological evidence reinforces these extensions, with a 2024 comprehensive review linking opponent-process mechanisms to allostasis—the process of achieving stability through change—in chronic stress and addiction. This connection illustrates how prolonged stressors dysregulate affective opponent systems, leading to allostatic overload where B-processes dominate and perpetuate vulnerability to disorders like depression and substance use. Although direct fMRI studies on opponent shifts remain emerging, related neuroimaging work from the early 2020s supports the role of mindfulness interventions in attenuating B-process intensity by enhancing prefrontal regulation of limbic responses during emotional provocation.^[20]^[43] Further extensions include computational models that simulate emotional opponency for applications in AI affective computing, enabling systems to predict and respond to human emotional sequences by modeling A- and B-process interactions. Cross-cultural validations have applied the theory to grief processing, revealing variations in how opponent dynamics manifest in bereavement rituals and emotional recovery across diverse societies, such as differing emphases on initial loss-oriented affects versus restorative counterprocesses. These developments underscore the theory's adaptability to interdisciplinary and global contexts.^[44]^[45] In 2025, a dedicated book titled "Opponent Process Theory: Neurophysiological Foundations and Clinical Applications" explores the theory's neural bases and extends it to psychiatric disorders and altruistic behaviors like blood donation, highlighting ongoing clinical relevance.^[46] Looking ahead, opponent-process theory offers promise for precision medicine in addiction treatment, particularly through targeted modulation of the B-process to normalize affective imbalances via personalized neuropharmacological or behavioral interventions. Translational research emphasizes neuroscience-derived biomarkers to tailor therapies that weaken maladaptive opponent responses, potentially improving outcomes in individualized addiction recovery protocols.^[47]

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Jan 6, 2020 · These data suggest that human addiction is primarily driven by excessive goal-directed drug choice under negative affect, and less by habit or compulsion.
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A review of mathematical modeling of addiction regarding both ...
The opponent-process theory, first described by Solomon and Corbit (1974), describes the dynamics of acquired motives, including addictive substance use Koob ...
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Article An opponent process for alcohol addiction based on changes ...
Mar 19, 2021 · Repeated intake over long periods of time desensitizes the primary process and sensitizes the opponent process, resulting in allostasis of mood ...<|control11|><|separator|>
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How short-form video features influence addiction behavior ...
Solomon and Corbit's (1974) opponent-process theory offers an explanation for emotional responses and addictive behaviors, using the interplay of positive and ...
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Current interpretations of the I-PACE model of behavioral addictions
Mar 10, 2025 · The I-PACE model was intended to be an etiological model describing the development and maintenance of addictive behaviors. In this context, ...
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Analysis of the causes, psychological mechanisms, and coping ...
Aug 5, 2024 · In the emotional dimension, the Opponent Process Theory can be used to explain users' addiction to short videos. The Opponent Process Theory ...
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Postdeployment PTSD and Addictive Combat Attachment Behaviors ...
Dec 1, 2016 · Solomon's (10) opponent-process theory posited that the “development of addictive behaviors, whether initiated by pleasurable or by aversive ...
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Neurobiological convergence of pain and substance use disorders
Closely aligned with this model, the opponent process theory posits that the brain's initial hedonic or analgesic response to stimuli—such as opioid-induced ...
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A Survey of Affective Theory Use in Computational Models of Emotion
div>Affective computing encompasses the research and development of systems that can recognize, express, and ``have'' emotions. Its literature is already ...
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[PDF] Towards Emotion-inspired Computational Intelligence (EiCI)
Mar 13, 2009 · Another psychological theory of emotion is known as the Opponent-Process theory [86] and [84] which was developed by two other American ...
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[PDF] Translational models of addiction phenotypes to advance addiction ...
Jan 24, 2023 · In summary, neuroscience constructs hold promise for advancing precision medicine for addiction. ... An opponent-process theory of motivation. I.