Category: Neurobiology/psychology
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Intuitive insight: Fast associative processes drive sound creative thinking
“Intuitive insight: Fast associative processes drive sound creative thinking” We tested intuitive vs. deliberate responding using a two-response paradigm. Correct creative answers often emerged intuitively under load and time pressure. Intuitive solutions rely on fast associative processes in semantic memory. Intuition may play a greater role in creativity than previously assumed. Convergent thinking, the ability…
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The interoceptive origin of reinforcement learning
“The interoceptive origin of reinforcement learning” Primary rewards are accompanied by a cascade of earlier signals – secondary and proxy rewards – that facilitate learning and prospective control rather than sustaining reinforcement. Primary reward signals are dependent on internal states and goals. The traditional reinforcement learning framework needs to be extended to address the generation…
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Statistics is not measurement
“Statistics is not measurement: The inbuilt semantics of psychometric scales and language-based models obscures crucial epistemic differences” This article provides a comprehensive critique of psychology’s overreliance on statistical modelling at the expense of epistemologically grounded measurement processes. It highlights that statistics deals with structural relations in data regardless of what these data represent, whereas measurement…
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Harmony in the brain
“Harmony in the brain: A narrative review on the shared neural substrates of emotion regulation and creativity” Common neural pathways and brain regions though have not been reported yet. The neural mapping of all creativity and emotion regulation forms is described. Regions and networks common to these functions are discussed. A shared brain mechanism is…
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Blocking of associative learning by explicit descriptions
“Blocking of associative learning by explicit descriptions” People given written descriptions often learn and decide differently from those learning from experience, even in formally identical tasks. This paper presents two experiments detailing how telling participants about the value of one stimulus impacts a keystone learning effect – blocking. The paper investigates if descriptions can be…
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From Soundwaves to Brainwaves: “Music”
“From Soundwaves to Brainwaves: The Transformative Power of Music” The human brain physically embodies rhythmic sound in a remarkablesymphony that has the power to heal. People resonate to music. They respond positively in ways that suggest that the rhythms of the brain and body, like neurons, breathing, or cardiac rhythms, are engaged when you listen…
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Computational Framework for cognitive biology
“Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition” Computational models should explain both similarities and differences between species. Most aspects of neural function are broadly shared across species. Single neurons are complex computational devices, with a tree-like form. “Dendrophilia” – our proclivity for tree structures – is central…
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Brain-body physiology
“Brain-body physiology: Local, reflex, and central communication” Behavior is tightly synchronized with bodily physiology. Internal needs from the body drive behavior selection, while optimal behavior performance requires a coordinated physiological response. Internal state is dynamically represented by the nervous system to influence mood and emotion, and body-brain signals also direct responses to external sensory cues,…
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Divergent Perception: Framing Creative Cognition
“Divergent Perception: Framing Creative Cognition Through the Lens of Sensory Flexibility” “Savoir regarder est un moyen d’inventer.” Salvador Dali. Creativity is a cornerstone of human evolution and is typically defined as the multifaceted ability to produce novel and useful artifacts. Although much research has focused on divergent thinking, growing evidence underscores the importance of perceptual…
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Known and Unknown Biases
“Known and Unknown Biases: A Framework for Contextualising and Identifying Bias in Animal Behaviour Research“ (This article discusses the bias in animal behaviour research, but – as known to most readers, I hope – humanes too are members of the animal kingdom 🙂 Biases in animal behaviour research are inevitable consequences of our societal and…
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A Model of Creative Thinking
“Adaptive Decision-Making “Fast” and “Slow”: A Model of Creative Thinking” The late Daniel Kahneman introduced the concept of fast and slow thinking, representing two distinct cognitive systems involved in decision-making (DM). Fast thinking (System 1) operates intuitively and spontaneously. In contrast, slow thinking (System 2) is characterized by deliberation and analytical reasoning. Following Kahneman’s view, called the…
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Pathfinding: a neurodynamical account of intuition
Pathfinding: a neurodynamical account of intuition We examine the neurobiology of intuition, a term often inconsistently defined in scientific literature. While researchers generally agree that intuition represents “an experienced-based process resulting in a spontaneous tendency toward a hunch or hypothesis,” we establish a firmer neurobiological foundation by framing intuition evolutionarily as a pathfinding mechanism emerging…
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Plasticity: A network theory
“Plasticity in mental health: A network theory“ High plasticity leads to a greater susceptibility to change brain and behavior according to context. Plasticity is not beneficial per se but its value must be estimated according to the context. Resilience arises from the interaction between plasticity levels and the context. Network theory allows for an operationalization…
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Top-down and bottom-up neuroscience
“Top-down and bottom-up neuroscience: overcoming the clash of research cultures“ As scientists, we want solid answers, but we also want to answer questions that matter. Yet, the brain’s complexity forces trade-offs between these desiderata, bringing about two distinct research approaches in neuroscience that we describe as ‘top-down’ and ‘bottom-up’. Bottom-up neuroscience The bottom-up research culture…
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Therapy That Isn’t Psychotherapy
I found this nice discours on an interesting topic, related with individual challlenges, AI and related tools appearing in this relation. Therapy That Isn’t Psychotherapy by Steven Reidbord Reducing the problem to a merely external one leads to therapy that resembles political advocacy; therapy that prizes agreement (“validation”) over all else; therapy that absolves the patient…
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Resilience phenotypes derived from an active inference account of allostasis
“Resilience phenotypes derived from an active inference account of allostasis“:Within a theoretical framework of enactive allostasis, we explore active inference strategies for minimizing surprise to achieve resilience in dynamic environments. While individual differences and extrinsic protective factors traditionally account for variability in resilience trajectories following stressor exposure, the enactive model emphasizes the importance of the…
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Top-down influences
“Top-down influences on the perception of emotional stimuli” (also available as PDF) The ability to quickly and accurately perceive external emotional stimuli — events in the environment that evoke changes in feelings, physiology and behaviour — is vital for adaptive social interactions and effective decision making in everyday life. Contemporary theories of emotional perception emphasize the influence of top-down…
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Blink and you see it
“Blink and you see it“ Every few seconds, our visual world disappears behind a thin fold of skin that maintains the tear film on the corneal surface and, for more than a tenth of a second, blocks light from falling onto the retina. “Blink and you miss it” is a common idiom that captures how…
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Defining intelligence: Bridging the gap
“Defining intelligence: Bridging the gap between human and artificial perspectives“ Proposes unified definitions for human and artificial intelligence. Distinguishes between artificial achievement/expertise and artificial intelligence. Advocates for AI metrics to ensure good quality AI system evaluations. Describes artificial general intelligence (AGI) mirroring human general intelligence. Evidence currently favours presence of artificial achievement over intelligence. Achieving…
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The unbearable slowness of being …
The unbearable slowness of being: Why do we live at 10 bits/s? This article is about the neural conundrum behind the slowness of human behavior. The information throughput of a human being is about 10 bits/s. In comparison, our sensory systems gather data at ∼109 bits/s. The stark contrast between these numbers remains unexplained and touches…
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Bayesian Models of Cognition
“Bayesian Models of Cognition Reverse Engineering the Mind” is a new MIT-press Open Access book available for online reading. The definitive introduction to Bayesian cognitive science, written by pioneers of the field. How does human intelligence work, in engineering terms? How do our minds get so much from so little? Bayesian models of cognition provide…
