On the quantum principles of cognitive learning

Abstract

Abstract:Pothos & Busemeyer's query as to whether or not quantum probability can provide a foundation for the cognitive modeling embodies so many underlying implications that the subject is far from exhausted. In this brief commentary, however, I suggest that it is possible, even likely, to find a quantum statistics to describe the cognitive behavior, especially, with regard to the conceptual schema of meaningful learning.The principles of superposition and entanglement are central to quantum physics.Quantum superposition is commonly considered to be a mapping of two bit states into one. Mathematically, we can say that it is nothing more than a linear combination of classical (pure) states. As to the quantum entanglement, it refers to a short-or long-range operation in which a strongly correlated state, a mixed state, is built from pure states. An

The theory of constructed emotion: an active inference account of interoception and categorization

“…This hypothesis is variously called predictive coding, active inference, or belief propagation (e.g. Rao and Ballard, 1999; Friston, 2010; Seth et al , 2012; Clark, 2013a,b; Hohwy, 2013; Seth, 2013; Barrett and Simmons, 2015; Chanes and Barrett, 2016; Deneve and Jardri, 2016). 11 Without an internal model, the brain cannot transform flashes of light into sights, chemicals into smells and variable air pressure into music.…”

“…those errors that are likely to be allostatically relevant and therefore worth the cost of encoding and consolidation; called precision signals (Feldman and Friston, 2010; Clark, 2013a,b; Moran et al ., 2013; Shipp et al ., 2013)] 20 . Specifically, I hypothesize that precision signals optimize the sampling of the sensory periphery for allostasis, and they are sent to every sensory system in the brain (for anatomical and functional justifications, see (Chanes and Barrett, 2016)].…”

An active inference theory of allostasis and interoception in depression

“…even insect brains coordinate visceral, immune and motor changes [1]. 4 The term 'feedback' derives from a time when the brain was thought to be largely stimulus driven [84]. Nonetheless, the history of science is laced with the idea that the mind drives perception, e.g.…”

“…Together, these research findings allowed us to propose that simulations, as ongoing, intrinsic activity, function as prediction signals (also known as 'topdown' or 'feedback' signals, and more recently as 'forward' models) that serve as plans for allostasis by continuously anticipating sensory events in the body and in the outer environment. 4 Unanticipated information ( prediction error) from both internal and external sensory domains modulates the predictions (also known as 'bottom-up' or, confusingly, 'feedforward' signals). Error signals track the difference between the predicted sensations and those that are incoming from the sensory world (including the body's peripheral Figure 1.…”

“…Collectively, these ideas are referred to as predictive coding, active inference or belief propagation accounts of brain function (e.g. [4][5][6][7][8][9][10]); informative discussions of these accounts are found in several other papers in this issue [2,11]. Second, a human brain's internal model (i.e.…”