David A. Hogue,  Remembering the Future, Imagining the Past: Story, Ritual, and the Human Brain. Cleveland: Pilgrim Press, 2003. viii+216 pp. $21.00 (paper).

2005 ◽  
Vol 85 (2) ◽  
pp. 331-332
Author(s):  
Kelly Bulkeley
Keyword(s):  
The Past ◽  
KronoScope ◽  
2013 ◽  
Vol 13 (2) ◽  
pp. 228-239
Author(s):  
Rémy Lestienne

Abstract J.T. Fraser used to emphasize the uniqueness of the human brain in its capacity for apprehending the various dimensions of “nootemporality” (Fraser 1982 and 1987). Indeed, our brain allows us to sense the flow of time, to measure delays, to remember past events or to predict future outcomes. In these achievements, the human brain reveals itself far superior to its animal counterpart. Women and men are the only beings, I believe, who are able to think about what they will do the next day. This is because such a thought implies three intellectual abilities that are proper to mankind: the capacity to take their own thoughts as objects of their thinking, the ability of mental time travels—to the past thanks to their episodic memory or to the future—and the possibility to project very far into the future, as a consequence of their enlarged and complexified forebrain. But there are severe limits to our timing abilities of which we are often unaware. Our sensibility to the passing time, like other of our intellectual abilities, is often competing with other brain functions, because they use at least in part the same neural networks. This is particularly the case regarding attention. The deeper the level of attention required, the looser is our perception of the flow of time. When we pay attention to something, when we fix our attention, then our inner sense of the flux of time freezes. This limitation should not sound too unfamiliar to the reader of J.T. Fraser who wrote in his book Time, Conflict, and Human Values (1999) about “time as a nested hierarchy of unresolvable conflicts.”


2018 ◽  
Author(s):  
Hyojeong Kim ◽  
Margaret L. Schlichting ◽  
Alison R. Preston ◽  
Jarrod A. Lewis-Peacock

AbstractThe human brain constantly anticipates the future based on memories of the past. Encountering a familiar situation reactivates memory of previous encounters which can trigger a prediction of what comes next to facilitate responsiveness. However, a prediction error can lead to pruning of the offending memory, a process that weakens its representation in the brain and leads to forgetting. Our goal in this study was to evaluate whether memories are spared from pruning in situations that allow for more abstract yet reliable predictions. We hypothesized that when the category, but not the identity, of a new stimulus can be anticipated, this will reduce pruning of existing memories and also reduce encoding of the specifics of new memories. Participants viewed a sequence of objects, some of which reappeared multiple times (“cues”), followed always by novel items. Half of the cues were followed by new items from different (unpredictable) categories, while others were followed by new items from a single (predictable) category. Pattern classification of fMRI data was used to identify category-specific predictions after each cue. Pruning was observed only in unpredictable contexts, while encoding of new items suffered more in predictable contexts. These findings demonstrate that how episodic memories are updated is influenced by the reliability of abstract-level predictions in familiar contexts.


2021 ◽  
Vol 8 (4) ◽  
pp. 1
Author(s):  
Saman Tauqir

Since the birth of science, the most fascinating structure of the human body is the human brain.  Over the past centuries’ researchers have been developing the latest technologies to imitate and explore how the human brain functions. However, to develop a machine that thinks like a human brain is still a dream for researchers. Aristotle’s early efforts to devise logical thinking via his syllogisms (a three-part deductive reasoning) were a source of inspiration for modern computers and technologies1. In the1950, Alan Turing designed a machine to decode encrypted messages, which was a breakthrough of super computers in the days of yore. He designed the “Turing Test” which was coined to assess whether a computer could exhibit intelligence better known as “artificial intelligence” (AI) today2. AI is “a field of science and engineering concerned with the computational understanding of what is commonly called intelligent behavior, and with the creation of artifacts that exhibit such behaviour”3. Since 1980, AI has come a long way, virtual reality is being used in dental education these days to create real life situations and promote clinical work on simulators to eliminate risk factors associated with training on live patients. Recently artificial intelligence has been integrated with tutoring systems like “Unified Medical Language System” (UMLS), which have resulted in a better quality of feedback, which the preclinical virtual patients provide to the students4,5. This interactive phase helps students to evaluate their clinical skills and compare their skills with the standard ones, thus creating an ideal and high-quality training environment. Studies have been carried out regarding the efficacy of AI systems, which have stipulated that preclinical students build higher competencies than with the use of traditional simulator units6-8. Currently AI inbuilt virtual dental assistants are present in the market. They can execute various chair side tasks with greater accuracy and less manpower ensuring minimum error during the procedures. In the world of implantology and maxillofacial surgery AI helps plan and prepare surgeries with smallest details forgoing actual surgery. Some exceptional uses of AI include robotic surgeries in the field of maxillofacial surgery and bioprinting (where tissues and organs can be reconstructed in thin layers)9. The field of AI has flourished to great extent in the past decade; AI systems are an aid to the field of dentistry and dental education.  This narrative attempts to explain possible AI-based applications in the future, it can be used for dental diagnosis, planning out treatments, conducting image analysis, and record keeping. AI-based technologies streamline and reduce laborious workforce to routine tasks, it ensures dental procedures are possible at a lower cost and ultimately makes predictive, preventive, and participatory dentistry possible. The use of AI in dental procedures needs to be guaranteed; its application with human oversight and evidence-based dentistry shall be expected. Dental education needs to be introduced to clinical AI solutions by promoting digital literacy in the future dental liveware.


2004 ◽  
Vol 19 (1) ◽  
pp. 21-27 ◽  
Author(s):  
Igor Aleksander

Is artificial intelligence (AI) just something that is done in laboratories disconnected from the development of the pragmatic computing, which constitutes current information technology or does it contribute to progress in computing and information technology? It has even been suggested that advances in AI are merely a re-branding exercise for promises that are rarely kept. This paper is a personal view of the forces that have driven the development of AI in the past and what might be a serious paradigm shift in the future. The latter points to what appears to be the most abstruse corner of the subject: the modelling of the human brain and the possibility of designing systems with the brain's ability to create conscious thought. There have been accusations that AI is always ahead on promise and behind on delivery. This is an inaccurate view. In broad terms, the argument presented here suggests that as AI developed, progress was achieved by overcoming unforeseen difficulties in the pursuit of very ambitious targets, not just a re-branding of promises. This process not only advanced AI but also fed into the mainstream of computing that underpins the information technology of the present time. While the outcome of the paradigm shift towards conscious machines, which is examined at the end of this paper is still unclear, it is possible to speculate how information technology might be affected in the future.


1980 ◽  
Vol 25 (3) ◽  
pp. 230-231
Author(s):  
MARCEL KINSBOURNE
Keyword(s):  
The Past ◽  

1991 ◽  
Vol 36 (9) ◽  
pp. 786-787
Author(s):  
Vicki L. Underwood
Keyword(s):  
The Past ◽  

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