Archive for the ‘Creativity’ Category
Cognitive neuroscience studies of creativity have appeared with increasing frequently in recent years. Yet to date, no comprehensive and critical review of these studies has yet been published. The ﬁrst part of this article presents a quick overview of the 3 primary methodologies used by cognitive neuroscientists: electroencephalography (EEG), positron emission tomography (PET), and functional magnetic resonance imaging (fMRI). The second part provides a comprehensive review of cognitive neuroscience studies of creativity-related cognitive processes. The third part critically examines these studies; the goal is to be extremely clear about exactly what interpretations can appropriately be made of these studies. The conclusion provides recommendations for future research collaborations between creativity researchers and cognitive neuroscientists.
Explaining Creativity is an accessible introduction to the latest scientific research on creativity. The book summarizes and integrates a broad range of research in psychology and related scientific fields. In the last 40 years, psychologists, anthropologists, and sociologists have devoted increased attention to creativity; we now know more about creativity than at any point in history. Explaining Creativity considers not only arts like painting and writing, but also science, stage performance, business innovation, and creativity in everyday life.
Sawyer’s approach is interdisciplinary. In addition to examining psychological studies on creativity, he draws on anthropologists’ research on creativity in non-Western cultures, sociologists’ research on the situations, contexts, and networks of creative activity, and cognitive neuroscientists’ studies of the brain. He moves beyond the individual to consider the social and cultural contexts of creativity, including the role of collaboration in the creative process.
Use these empirically backed tips to capture your next big idea.
Epstein, has conducted research showing that strengthening four core skill sets leads to an increase in novel ideas: Capture your new ideas; Seek out challenging tasks; Broaden your knowledge; and, Surround yourself with interesting things and people.
Many practices that lead to better overall well-being also boost innovative thinking. For instance, creativity researchers suggest you: Sleep on it; Collaborate—in writing; Let the sunshine in; and, Get happy.
Read also: Cognition, Creativity, and Behavior
It has been said that creative intelligence is the ability to invent goals, projects, and plans-in other words, we might say, to invent the future. A reasonable assumption is that the creative process consists of the formation of new cognits (brain circuits) , that is, new network representations in the cortex. These representations result mostly from divergent thinking as opposed to convert thinking. Convergent thinking consists of inductive and deductive reasoning, which converge towards logical inferences and the solution of problems. Divergent thinking, on the other hand, is free of logical constraints, autonomous and to some extent free-floating, reliant on the imagination, and minimally anchored in the immediate reality. Creative cognits emerge mainly from divergent thinking ….
Read also: Cortex and mind: unifying cognition
This book presents a unique synthesis of the current neuroscience of cognition by one of the world’s authorities in the field. The guiding principle to this synthesis is the tenet that the entirety of our knowledge is encoded by relations, and thus by connections, in neuronal networks of our cerebral cortex. Cognitive networks develop by experience on a base of widely dispersed modular cell assemblies representing elementary sensations and movements. As they develop cognitive networks organize themselves hierarchically by order of complexity or abstraction of their content. Because networks intersect profusely, sharing commong nodes, a neuronal assembly anywhere in the cortex can be part of many networks, and therefore many items of knowledge. All cognitive functions consist of neural transactions within and between cognitive networks. After reviewing the neurobiology and architecture of cortical networks (also named cognits), the author undertakes a systematic study of cortical dynamics in each of the major cognitive functions–perception, memory, attention, language, and intelligence….
Collaboration, open source data, and new types of ‘peer review’ that includes some type of crowdsourcing, is where we need to be headed. Open Access journals, such as PLoS One should be the standard, not the exception, for data sharing. There are some valiant attempts being made right now at adjusting to a new model of scientific research, specifically the addition of blogging platforms to increase science communication, but this isn’t enough, and too many of them are falling short of fully embracing a digital, open-sharing network model. Much of what I see is the same old paper model being squeezed into a digital platform; we need to scrap the old model altogether and come up with something completely different in order for it to work.
What are our options? Radical openness, for one. I mean REAL openness, inviting everyone in, not just a select few. I know, there will be validity issues to be addressed. Challenging? You betcha. But that shouldn’t stop it.
I know we can do this—we all just need to work together and embrace true collaboration. There is too much secretive hoarding of ideas, paranoia of being “scooped”, and competition in the race to publish. We can solve so many more of the world’s problems through collaboration— ideas sparking off each other, shining insight and gaining perspective in ways that are only possible when we pool our minds together. We need to put scientific discovery ahead of prestige and money if we are ever to break out of this information and creativity crisis. I know the brain power is there—let’s give it a platform in which to emerge, grow, and flourish.