358 research outputs found
Alexandros Papadiamantis: Easter chanter
No full textTitle: Λαμπριάτικος Ψάλτης (Easter chanter) Originally published: newspaper ’Aκρόπολις, 1893 Language: Greek The excerpt used is from Panayotis Moullas, Α.Παπαδιαμάντης Αυτοβιογραφούμενος (Athens: Εστία 1999), pp. 100–103. About the author Alexandros Papadiamantis: [Skiathos (central Greece) 1851 – Skiathos 1911]: short story writer and translator. He was the third son of the priest Adamantios, hence the family name (papa-Diamantis). His mother was the offspring of a well-off family from the ..
Alexandros Papadiamantis: Easter chanter
No full textTitle: Λαμπριάτικος Ψάλτης (Easter chanter) Originally published: newspaper ’Aκρόπολις, 1893 Language: Greek The excerpt used is from Panayotis Moullas, Α.Παπαδιαμάντης Αυτοβιογραφούμενος (Athens: Εστία 1999), pp. 100–103. About the author Alexandros Papadiamantis: [Skiathos (central Greece) 1851 – Skiathos 1911]: short story writer and translator. He was the third son of the priest Adamantios, hence the family name (papa-Diamantis). His mother was the offspring of a well-off family from the ..
Diversity of preferences can increase collective welfare in sequential exploration problems - Collective Intelligence
No full textProject files for the following article: Analytis, P. P., Stojic, H., Gelastopoulos, A., & Moussaid, M. (2017). Diversity of preferences can increase collective welfare in sequential exploration problems. In Collective Intelligence Conference (pp. 1–4)
Fight for Faith and Motherland!
No full textTitle: Μάχου ὑπέρ πίστεως καὶ πατρίδος (Fight for Faith and Motherland!) Originally published: as a leaflet in Iaşi, 24 February 1822. Language: Greek The excerpts text used are from: Apostolos Daskalakis, Kείµενα-πηγαί τῆς ἱστορίας τῆς ἑλληνικῆς ἐπαναστάσεως (Αθήνα: 1966), pp. 141–144. About the author Alexandros Ypsilantis [1792, Bucharest – 1828, St. Petersburg]: military leader. He was the offspring of one of the most distinguished Phanariot families. His grandfather Alexandros and his fa..
Synchronization properties and functional implications of parietal beta1 rhythm
Full text linkNeural oscillations, including rhythms in the beta1 band (12-20 Hz), are important in various cognitive functions. Often brain networks receive rhythmic input at frequencies different than their natural frequency, so understanding how neural networks process rhythmic input is important for understanding their function in the brain. In the current thesis we study a beta1 rhythm that appears in the parietal cortex, focusing on the way it interacts with other incoming rhythms, and the implications of this interaction for cognition. The main part of the thesis consists of two stand-alone chapters, both using as a basis a biophysical neural network model that has been previously proposed to model the parietal beta1 rhythm and validated with in vitro experiments.
In the first chapter we use a reduced version of this model, in order to study its dynamics, applying both analytic and numerical methods from dynamical systems. We show that a cell can respond at the same time to two periodic stimuli of unrelated frequencies, firing in phase with one, but with a mean firing rate equal to the other, a consequence of general properties of the dynamics of the network. We next show numerically that the behavior of a different cell, which is modeled as a high-dimensional dynamical system, can be described in a surprisingly simple way, owing to a reset that occurs in the state space when the cell fires. The interaction of the two cells leads to novel combinations of properties for neural dynamics, such as mode-locking to an input without phase-locking to it.
In the second chapter, we study the ability of the beta1 model to support memory functions, in particular working memory. Working memory is a highly distributed component of the brain's memory systems, partially based in the parietal cortex. We show numerically that the parietal beta1 rhythm can provide an anatomical substrate for an episodic buffer of working memory. Specifically, it can support flexible and updatable representations of sensory input which are sensitive to distractors, allow for a read-out mechanism, and can be modulated or terminated by executive input
Interactions of multiple rhythms in a biophysical network of neurons
Full text linkNeural oscillations, including rhythms in the beta1 band (12–20 Hz), are important in various cognitive functions. Often neural networks receive rhythmic input at frequencies different from their natural frequency, but very little is known about how such input affects the network’s behavior. We use a simplified, yet biophysical, model of a beta1 rhythm that occurs in the parietal cortex, in order to study its response to oscillatory inputs. We demonstrate that a cell has the ability to respond at the same time to two periodic stimuli of unrelated frequencies, firing in phase with one, but with a mean firing rate equal to that of the other. We show that this is a very general phenomenon, independent of the model used. We next show numerically that the behavior of a different cell, which is modeled as a high-dimensional dynamical system, can be described in a surprisingly simple way, owing to a reset that occurs in the state space when the cell fires. The interaction of the two cells leads to novel combinations of properties for neural dynamics, such as mode-locking to an input without phase-locking to it.Published versio
The disjunction effect does not violate the Law of Total Probability
No full textNational audienceThe disjunction effect (DE) refers to an empirical violation of the Sure-Thing Principle (STP), which states that if a person is willing to take an action independently of the outcome of some event, then they must be willing to do so even when the outcome of the event is unknown. A standard practice for inferring a DE, especially in between-subjects experiments, consists of showing a population-level version of this phenomenon, specifically that fewer people are willing to take the proposed action when the outcome of the event is unknown than for any possible known outcome. Although this does not prove a violation of the STP, this population-level condition has received a lot of attention, because it presumably violates the Law of Total Probability, and it is sometimes used as the definition of the DE itself. Here we show that this condition is in fact unrelated to the Law of Total Probability and thus entirely irrelevant for the study of the DE and decision making in general. This calls for a reevaluation of experimental results that have been interpreted as showing a DE based on the above condition. We derive a new disjunction law that can be used to check for violations of the STP in between-subjects data
The disjunction effect does not violate the Law of Total Probability
No full textThe disjunction effect (DE) refers to an empirical violation of the Sure-Thing Principle (STP), which states that if a person is willing to take an action independently of the outcome of some event, then they must be willing to do so even when the outcome of the event is unknown. A standard practice for inferring a DE, especially in between-subjects experiments, consists of showing a population-level version of this phenomenon, specifically that fewer people are willing to take the proposed action when the outcome of the event is unknown than for any possible known outcome. Although this does not prove a violation of the STP, this population-level condition has received a lot of attention, because it presumably violates the Law of Total Probability, and it is sometimes used as the definition of the DE itself. Here we show that this condition is in fact unrelated to the Law of Total Probability and thus entirely irrelevant for the study of the DE and decision making in general. This calls for a reevaluation of experimental results that have been interpreted as showing a DE based on the above condition. We derive a new disjunction law that can be used to check for violations of the STP in between-subjects data
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