The Cerebral Code is a new understanding of how Darwinian processes could operate in the brain to shape mental images in only seconds, starting with shuffled memories no better than the jumble of our nighttime dreams, but evolving into something of quality, such as a sentence to speak aloud. Jung said that dreaming goes on continuously but you can't see it when you are awake, just as you can't see the stars in the daylight because it is too bright. Calvin's is a theory for what goes on, hidden from view by the glare of waking mental operations, that produces our peculiarly human type of consciousness with its versatile intelligence. As Piaget emphasized in 1929, intelligence is what we use when we don't know what to do, when we have to grope rather than using a standard response. Calvin tackles a mechanism for doing this exploration and improvement offline, as we think before we act or practice the art of good guessing. Surprisingly, the subtitle's mosaics of the mind is not a literary metaphor. For the first time, it is a description of a mechanism of what appears to be an appropriate level of explanation for many mental phenomena, that of hexagonal mosaics of electrical activity that compete for territory in the association cortex of the brain. This two-dimensional mosaic is predicted to grow and dissolve much as the sugar crystals do in the bottom of a supersaturated glass of iced tea. A Bradford Book

As the second decade of the twenty-first century draws to a close, the cultural, social, and economic effects of artificial intelligence are becoming ever more apparent. Despite their long-intertwined histories, the fields of neuroscience and artificial intelligence research are notoriously divided. In Cognitive Code Johannes Bruder argues that seemingly incompatible scales of intelligence – the brain and the planet – are now intimately linked through neuroscience-inspired AI and computational cognitive neuroscience. Building on ethnographic fieldwork in brain imaging labs in the United Kingdom and Switzerland, alongside analyses of historical and contemporary literature, Cognitive Code examines how contemporary research on the brain makes routine use of engineering epistemologies and practices. Bruder elaborates on how the question of mimicking human cognition and thought on the scale of computer chips and circuits has gradually evolved into a comprehensive restructuring of the world through "smart" infrastructures. The brain, traditionally treated as a discrete object that thinks, is becoming part of the larger thinking network we now know as "the Cloud." The author traces a recent shift in the goals of brain imaging to show that the introduction of novel statistical and computational techniques has upset traditional paradigms and disentangled cognition from its biological substrate. Investigating understandings of intelligence from the micro to the macro, Cognitive Code explains how the future of human psychology is increasingly determined by engineering and design.

How the cerebral cortex operates near a critical phase transition point for optimum performance. Individual neurons have limited computational powers, but when they work together, it is almost like magic. Firing synchronously and then breaking off to improvise by themselves, they can be paradoxically both independent and interdependent. This happens near the critical point: when neurons are poised between a phase where activity is damped and a phase where it is amplified, where information processing is optimized, and complex emergent activity patterns arise. The claim that neurons in the cortex work best when they operate near the critical point is known as the criticality hypothesis. In this book John Beggs—one of the pioneers of this hypothesis—offers an introduction to the critical point and its relevance to the brain. Drawing on recent experimental evidence, Beggs first explains the main ideas underlying the criticality hypotheses and emergent phenomena. He then discusses the critical point and its two main consequences—first, scale-free properties that confer optimum information processing; and second, universality, or the idea that complex emergent phenomena, like that seen near the critical point, can be explained by relatively simple models that are applicable across species and scale. Finally, Beggs considers future directions for the field, including research on homeostatic regulation, quasicriticality, and the expansion of the cortex and intelligence. An appendix provides technical material; many chapters include exercises that use freely available code and data sets.

A new theory of Intelligence, from a renowned and highly respected writer on brains and evolution What constitutes consciousness or intelligence? This is a question that has proved to philosophers to be an intellectual dead-end. Now William Calvin, by looking closely at animal and human intelligence and a wide range of evolutionary evidence, has broken new ground that will help us understand mental illness and illuminate the whole notion of what it is to be a person. Calvin begins by asking what intelligence is. He moves to the Why of intelligence, where evidence from chimpanzees is important, before coming to the all-important How of intelligence, the cerebral codes and Darwinian processes that operate within seconds to produce intelligent thought and action.

A neuroscientist and a linguist show how evolution could have given rise to structured language. A machine for language? Certainly, say the neurophysiologists, busy studying the language specializations of the human brain and trying to identify their evolutionary antecedents. Linguists such as Noam Chomsky talk about machinelike "modules" in the brain for syntax, arguing that language is more an instinct (a complex behavior triggered by simple environmental stimuli) than an acquired skill like riding a bicycle. But structured language presents the same evolutionary problems as feathered forelimbs for flight: you need a lot of specializations to fly even a little bit. How do you get them, if evolution has no foresight and the intermediate stages do not have intermediate payoffs? Some say that the Darwinian scheme for gradual species self-improvement cannot explain our most valued human capability, the one that sets us so far above the apes, language itself. William Calvin and Derek Bickerton suggest that other evolutionary developments, not directly related to language, allowed language to evolve in a way that eventually promoted a Chomskian syntax. They compare these intermediate behaviors to the curb-cuts originally intended for wheelchair users. Their usefulness was soon discovered by users of strollers, shopping carts, rollerblades, and so on. The authors argue that reciprocal altruism and ballistic movement planning were "curb-cuts" that indirectly promoted the formation of structured language. Written in the form of a dialogue set in Bellagio, Italy, Lingua ex Machina presents an engaging challenge to those who view the human capacity for language as a winner-take-all war between Chomsky and Darwin.

"A Bradford book." Bibliography: p. [491]-523. Includes index.