Bottlenecks in Capacity

Resources

TLDR4u

The importance of an exaggerated attention bottleneck for understanding psychopathy

This article proposes that an exaggerated attention bottleneck is a key mechanism that helps to explain the self-centred, callous, and antisocial behaviour of individuals with psychopathy. This theory is rooted in cognitive neuroscience and suggests that while psychopathic individuals can be exceptionally focused on a single goal or stimulus, they struggle to process multiple streams of information at the same time.

The authors describe the attention bottleneck as a normal cognitive function that filters information to make it manageable, but which can also block or delay the processing of secondary information. In psychopathic individuals, this bottleneck is thought to be amplified. This results in them over-prioritising goal-relevant information at the expense of other important contextual cues, such as punishment, risk, or the emotions of others.

The article provides evidence from various studies to support this model:

Learning and Decision-Making: Psychopathic individuals show deficits in tasks that require tracking multiple types of information simultaneously, such as learning from both reward and punishment contingencies. Their performance is often normal when only one type of information needs to be monitored.

Emotional Processing: Deficits in emotion recognition and response, often attributed to a core lack of fear or empathy, may instead be explained by this attentional model. When emotional cues are presented in complex or cognitively demanding ways (e.g., blended facial expressions, novel images), psychopathic individuals struggle to process them effectively. However, they can respond more typically to simple or familiar emotional stimuli, or when explicitly instructed to focus on the emotional cues.

Social Processing: Psychopathic individuals can understand the thoughts and feelings of others when instructed to do so (controlled processing), but they fail to do so spontaneously, particularly in cognitively demanding social situations. This aligns with the bottleneck model, where they can direct their focus when it is goal-conducive but do not automatically integrate others’ perspectives.

In conclusion, the exaggerated attention bottleneck model offers a nuanced explanation for the complex and often contradictory behaviours seen in psychopathy. It suggests that deficits are not absolute but are highly dependent on the attentional and cognitive demands of a situation. This perspective may open new avenues for intervention and treatment by targeting these specific information-processing constraints.

Cognitive Training Does Not Enhance General Cognition

This article argues that cognitive training programs do not enhance general cognitive ability (GCA), or intelligence, despite their popularity and the claims made by some researchers. The authors review experimental evidence from the most common types of cognitive training—including working memory (WM) training, video games, music instruction, chess instruction, and commercial “brain training” games—and conclude that any benefits are highly specific to the trained tasks, with minimal to no “far transfer” to general cognitive skills.

The authors build their case using several key points supported by meta-analyses:

Lack of Transfer: While engaging in these activities improves performance on the specific task being practised (and sometimes on very similar tasks), these improvements do not generalize to broader cognitive abilities like fluid intelligence, memory, or processing speed.

Methodological Flaws in Research: The authors contend that studies reporting positive effects often suffer from methodological weaknesses, such as the lack of an active control group. When studies are well-designed—for example, by comparing the training group to a group engaged in an alternative, active task—the alleged cognitive benefits disappear, suggesting they are likely due to placebo effects.

Correlational vs. Causal Evidence: While people who engage in activities like music or chess often have higher GCA, this is a correlation, not a causal relationship. The evidence suggests that individuals with higher GCA are more likely to engage and succeed in these cognitively demanding activities, rather than the activities themselves increasing their GCA.

Theoretical Implausibility: The idea of enhancing GCA through short-term training is inconsistent with broader findings in psychology. Research shows that even years of formal education have only a small impact on GCA, and GCA itself is known to be substantially heritable, making it difficult to change through environmental factors.

In summary, the authors conclude that the “cognitive-training controversy” can be resolved by a careful review of the evidence, which consistently shows a lack of meaningful, general cognitive enhancement. They recommend that future research and educational efforts should focus on teaching domain-specific skills and effective learning strategies rather than attempting to train general intelligence.

Core concepts

  • Information Processing Capacity Limits: The central theme is that the brain’s ability to process information is fundamentally limited by several factors, including the speed of processing, bottlenecks in the flow of information from sensation to action, and phenomena like cognitive fatigue and sustained attention.
  • Evolutionary Optimisation of the Brain: Evolution faced a trade-off between the need for a large brain to process a high volume of information and the need for fast processing. It optimised for both by developing a small-world architecture (dense local connectivity with few long-distance connections) and by folding the cortical surface to reduce the distance between brain regions.
  • Information Processing Bottlenecks: These are major limitations that impair our ability to perceive, retain, and act on information. The key examples discussed are the Attentional Blink (difficulty detecting a second target if it appears too soon after a first), limited Short-Term Memory capacity (about four items), and the Psychological Refractory Period (a delay in responding to a second task when two tasks are performed in rapid succession).
  • Cognitive Fatigue: This is the subjective feeling of exhaustion from mental effort. It’s a puzzle because effortful cognition only marginally increases the brain’s high resting energy consumption. Explanations range from neurobiological (e.g., accumulation of adenosine or glutamate) to cognitive (e.g., the brain computing the opportunity cost of continuing one task over others).
  • Sustained Attention: This refers to the ability to maintain focus over time. Early models viewed it as a limited resource that simply depletes. Modern views are more complex, considering how performance fluctuates over time as we shift between optimal and suboptimal zones, and how factors like arousal, motivation, and the brain’s “default mode network” influence our ability to allocate attentional resources.
  • Attention Spans and Habits: While there is a popular claim that attention spans are declining, recent large-scale studies show that adults’ performance on sustained attention tasks has actually improved over the last 30 years. The more reasonable conclusion is that our underlying cognitive capacity has not declined, but our habits (e.g., frequent phone checking) have changed.

Theories and Frameworks

  • Small-World Architecture: A principle of network design, inspired by Stanley Milgram’s work, that describes the brain’s structure. It features high modularity (dense local connections) and a few long-distance “hub” connections, which optimises both processing speed and the physical volume of the brain.
  • Adenosine-Dopamine Model of Mental Fatigue: A neurobiological theory suggesting that prolonged cognitive effort causes a build-up of the metabolic byproduct adenosine, which in turn suppresses neural activity and blocks dopamine release, leading to a feeling of fatigue and lack of motivation.
  • Opportunity Cost Model of Subjective Effort: A cognitive model proposing that mental fatigue is the brain’s way of computing the opportunity cost of continuing a task. As we focus our limited resources on one activity, we forgo others, and the feeling of effort signals the increasing value of switching tasks.
  • Resource Depletion Model of Sustained Attention: An early model that characterised sustained attention as a limited resource that gets depleted over time, leading to a decline in performance (vigilance decrements). This model has been challenged by findings showing motivation can offset these declines.

Notable Individuals

  • Stanley Milgram: Conducted the “Small World Problem” study in the 1960s, which demonstrated the “six degrees of separation” concept and provided the inspiration for the small-world architecture model of brain connectivity.
  • Robert Kurzban: Proposed the Opportunity Cost Model of subjective effort to explain cognitive fatigue.