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Neurophysiology of synesthesia. - Hal-CEA
Neurophysiology of synesthesia. - Hal-CEA

... Abstract [150 words] Synesthesia is an experience in which stimulation in one sensory or cognitive stream leads to associated experiences in a second, unstimulated stream. Although synesthesia is often referred to as a "neurological condition", is not listed in the DSM-IV or the ICD classifications ...
How do you feel -- now? The anterior insula and
How do you feel -- now? The anterior insula and

... test stimulus (a one-sided fork) followed immediately by an ambiguous stimulus (so-called backwardmasking)31. The authors reported that subjects’ performance in detecting the asymmetry decreased progressively from 100% to chance levels for presentation times shorter than 150 msec, yet activation in ...
Ecology and Echolocation of Bats and Toothed Whales
Ecology and Echolocation of Bats and Toothed Whales

... Sensory modalities are shaped according to a species ecology. Animals living in low light conditions often show exceptional capabilities in sensing their surroundings by smell, touch or sound. Animals living in well-lit, open environments often have well developed vision. As form follows function, a ...
How Do Short-Term Changes at Synapses Fine
How Do Short-Term Changes at Synapses Fine

... how complex neuronal activity affects the short-term state of synapses, as well as how this changed state affects information processing in return. Hippocampus: the role of STP in regulating synaptic information transfer Synapses that fire continuously at high frequencies eventually reach a steady-s ...
[$133133] PI on award #0536173 Laptop
[$133133] PI on award #0536173 Laptop

... The conference presentations of Kristina Ming '15 and Chris Eriksen '15, both at CCSC-SW and a AAAI spring symposium in 2014, were another particular point of pride: that team had started from scratch to create HMC's first 3d spatial models, which they then used as the basis for autonomously locali ...
FeUdal Networks for Hierarchical Reinforcement
FeUdal Networks for Hierarchical Reinforcement

... mains a major challenge for these methods, especially in environments with sparse reward signals, such as the infamous Montezuma’s Revenge ATARI game. It is symptomatic that the standard approach on the ATARI benchmark suite (Bellemare et al., 2012) is to use an actionrepeat heuristic, where each ac ...
Altered neural reward and loss processing and
Altered neural reward and loss processing and

... Dysfunctional processing of reward and punishment may play an important role in depression. However, functional magnetic resonance imaging (fMRI) studies have shown heterogeneous results for reward processing in fronto-striatal regions. We examined neural responsivity associated with the processing ...
Chapter 15: Is Artificial Intelligence Real?
Chapter 15: Is Artificial Intelligence Real?

... With respect to neural networks, all of the following are true EXCEPT: A. neural networks distribute knowledge throughout the network. B. neural networks store information in the same way as traditional computers. C. neural networks use distributed, parallel computing systems. D. neural networks con ...
Artificial Intelligence Games- Outline Games vs. search problems
Artificial Intelligence Games- Outline Games vs. search problems

... Chess: Deep Blue defeated human world champion Garry Kasparov in a six-game match in 1997. Deep Blue searches 200 million positions per second, uses very sophisticated evaluation, and undisclosed methods for extending some lines of search up to 40 ply. ...
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ppt

... EASy "Artificial Life is the study of man-made systems that exhibit behaviors characteristic of natural living systems. It complements the traditional biological sciences concerned with the analysis of living organisms by attempting to synthesize lifelike behaviors within computers and other artific ...
Aalborg Universitet Practices, The Built Environment and Sustainability
Aalborg Universitet Practices, The Built Environment and Sustainability

... (a) In our opinion the ‘ideal type’ formulation of practice-as-entity is more deterministic and loses much of the iterative quality that is key for understanding practice dynamics. Nevertheless, we suggest that such ‘ideal type’ constructs have an effect in the real world. Ideas about ‘normal’, ‘typ ...
Central Lateral Line and Auditory Pathways: A Phylogenetic
Central Lateral Line and Auditory Pathways: A Phylogenetic

... pressure transducers) coupled to the labyrinth (van Bergeijk, 1967). Inner ear auditory receptors were thought to be the last peripheral octavolateralis component to evolve, occurring during the rhipidistianamphibian transition with the appearance of a middle ear transmission apparatus and new recep ...
1- ISSN 1045-6333 NOTIONS OF FAIRNESS
1- ISSN 1045-6333 NOTIONS OF FAIRNESS

... similarly situated with respect to the policies under consideration. For example, in analyzing tort rules and the principle of corrective justice in the context of automobile accidents, one might examine cases in which every person is equally likely to be an injurer or victim and faces the same cost ...
From Problems to Protocols: Towards a Negotiation Handbook
From Problems to Protocols: Towards a Negotiation Handbook

... A critical challenge facing negotiation research is that no protocol is the best choice for every possible negotiation scenario. Protocols that work quickly and well for simple negotiations with a few independent issues, for example, fare poorly when applied to complex negotiations with many interde ...
On the Biological Plausibility of Grandmother Cells
On the Biological Plausibility of Grandmother Cells

... One response is to reject the assumption that cognitive models should be evaluated on biological criteria. According to Broadbent (1985), this is justified because neuroscience is only relevant at what Marr (1982) called the implementational level of description. On this view, psychological theory s ...
The Effects of Short-term and Long-term Learning on the Responses
The Effects of Short-term and Long-term Learning on the Responses

... et al., 2003). Removing parts of the parietal cortex, however, does not seem to affect the learning of new associations or the retention of familiar ones (Pisella et al., 2000; Rushworth, Nixon, & Passingham, 1997). As an example, LIP neurons can become sensitive to colors if they have been arbitrar ...
Full-Text PDF
Full-Text PDF

... www.mdpi.com/journal/applsci ...
Dialogue Tools and Negotiation Support Systems in a Three-Step
Dialogue Tools and Negotiation Support Systems in a Three-Step

... knowledge management purposes.22 The use of applied legal decision support systems is still in its infancy. Of the commercially successful systems that have been developed, Zeleznikow and Dan Hunter note that most have employed rules. 23 There are two major reasons for this: rules are easy to model, ...
True/False Questions
True/False Questions

... F 19. A genetic algorithm is a neural network that mimics the evolutionary, survival-of-the-fittest process to generate increasingly better solutions to a problem. Answer: False Level: Medium Page: 151 ...
Procedural Knowledge Representations
Procedural Knowledge Representations

... We have briefly mentioned where knowledge is used in AI systems. Let us consider a little further to what applications and how knowledge may be used. Learning -- acquiring knowledge. This is more than simply adding new facts to a knowledge base. New data may have to be classified prior to storage fo ...
AAAI News - Association for the Advancement of Artificial Intelligence
AAAI News - Association for the Advancement of Artificial Intelligence

... continuation of its cooperative effort with AI Journal, giving unlimited access to the online version of the Artificial Intelligence Journal to all regular AAAI members. AAAI regular members can view and browse tables of contents, view articles published in recent issues of AI Journal, and utilize t ...
the medial division of the medial geniculate body of the cat
the medial division of the medial geniculate body of the cat

... The structure of neurons and axons was studied in the medial division of the medial geniculate body of the cat with the Golgi methods. The results show that the medial division consists of morphologically heterogeneous neurons. The main types, in descending order of frequency, are medium-sized neuro ...
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... been specified, it is easy to produce various simulations based on different settings, initial conditions and external events offered. Moreover, it is possible to incorporate nondeterministic behaviours by temporal rules that involve probabilistic effects (cf. Bosse, et al., 2007). Thus large sets o ...
planet-sumschool02
planet-sumschool02

... • Start with a method for evaluating agent behavior • Basic idea: – Recognize that all agents have computational limits as a result of being implemented on physical architecture – Treat an agent as (boundedly) optimal if it performs at least as well as other agents with identical architectures ...
Socio-economic distance and spatial patterns in unemployment
Socio-economic distance and spatial patterns in unemployment

... best characterized as several variables each contributing some, rather than there being a single dominant explanatory variable. However, among these variables it is clear that the racial and ethnic composition within each tract contributes the most to ‘explaining’ the spatial correlation present in ...
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Embodied cognitive science

For approaches to cognitive science that emphasize the embodied mind, see Embodied cognitionEmbodied Cognitive Science is an interdisciplinary field of research, the aim of which is to explain the mechanisms underlying intelligent behavior. It comprises three main methodologies: 1) the modeling of psychological and biological systems in a holistic manner that considers the mind and body as a single entity, 2) the formation of a common set of general principles of intelligent behavior, and 3) the experimental use of robotic agents in controlled environments.Embodied cognitive science borrows heavily from embodied philosophy and the related research fields of cognitive science, psychology, neuroscience and artificial intelligence. From the perspective of neuroscience, research in this field was led by Gerald Edelman of the Neurosciences Institute at La Jolla, the late Francisco Varela of CNRS in France, and J. A. Scott Kelso of Florida Atlantic University. From the perspective of psychology, research by Michael Turvey, Lawrence Barsalou and Eleanor Rosch. From the perspective of language acquisition, Eric Lenneberg and Philip Rubin at Haskins Laboratories. From the perspective of autonomous agent design, early work is sometimes attributed to Rodney Brooks or Valentino Braitenberg. From the perspective of artificial intelligence, see Understanding Intelligence by Rolf Pfeifer and Christian Scheier or How the body shapes the way we think, also by Rolf Pfeifer and Josh C. Bongard. From the perspective of philosophy see Andy Clark, Shaun Gallagher, and Evan Thompson.Turing proposed that a machine may need a human-like body to think and speak:It can also be maintained that it is best to provide the machine with the best sense organs that money can buy, and then teach it to understand and speak English. That process could follow the normal teaching of a child. Things would be pointed out and named, etc. Again, I do not know what the right answer is, but I think both approaches should be tried (Turing, 1950).↑
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