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Érdi, Péter; Lente, Gábor

doi:10.1007/978-1-4939-0387-0_3

Cited by 10 publications

(9 citation statements)

References 172 publications

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“…< 10 4 ) or in the proximity of bifurcation points. [107,108] Under other conditions the errors caused by assuming a continuous range of possible concentrations are usually very small, and the continuous and discrete approach yield the same macroscopic steady state solution [107,108]. Hence, continuous inflow of CRH, while clearly a simplification, is not unfounded as long as the average CRH concentration in a pulsatile CRH regime is the same as in the continuous flow regime.…”

Section: Discussionmentioning

confidence: 99%

Corticosterone oscillations during mania induction in the lateral hypothalamic kindled rat—Experimental observations and mathematical modeling

Abulseoud

Choi

et al. 2017

PLoS ONE

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Changes in the hypothalamic-pituitary-adrenal (HPA) axis activity constitute a key component of bipolar mania, but the extent and nature of these alterations are not fully understood. We use here the lateral hypothalamic-kindled (LHK) rat model to deliberately induce an acute manic-like episode and measure serum corticosterone concentrations to assess changes in HPA axis activity. A mathematical model is developed to succinctly describe the entwined biochemical transformations that underlay the HPA axis and emulate by numerical simulations the considerable increase in serum corticosterone concentration induced by LHK. Synergistic combination of the LHK rat model and dynamical systems theory allows us to quantitatively characterize changes in HPA axis activity under controlled induction of acute manic-like states and provides a framework to study in silico how the dynamic integration of neurochemical transformations underlying the HPA axis is disrupted in these states.

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Section: Discussionmentioning

confidence: 99%

Corticosterone oscillations during mania induction in the lateral hypothalamic kindled rat—Experimental observations and mathematical modeling

Abulseoud

Choi

et al. 2017

PLoS ONE

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“…In practice, this has primarily been handled through disciplinary and methodological separations, leaving the question of the emergence of structure from individuals to the road-side. Complexity Science, in contrast, focuses explicitly and almost exclusively on this question (Érdi, 2007; Mitchell, 2009).…”

Section: Contemporary Digital Research: Computation and Relationsmentioning

confidence: 99%

The limits of computation: A philosophical critique of contemporary Big Data research

Törnberg

2018

Big Data & Society

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This paper reviews the contemporary discussion on the epistemological and ontological effects of Big Data within social science, observing an increased focus on relationality and complexity, and a tendency to naturalize social phenomena. The epistemic limits of this emerging computational paradigm are outlined through a comparison with the discussions in the early days of digitalization, when digital technology was primarily seen through the lens of dematerialization, and as part of the larger processes of ''postmodernity''. Since then, the online landscape has become increasingly centralized, and the ''liquidity'' of dematerialized technology has come to empower online platforms in shaping the conditions for human behavior. This contrast between the contemporary epistemological currents and the previous philosophical discussions brings to the fore contradictions within the study of digital social life: While qualitative change has become increasingly dominant, the focus has gone towards quantitative methods; while the platforms have become empowered to shape social behavior, the focus has gone from social context to naturalizing social patterns; while meaning is increasingly contested and fragmented, the role of hermeneutics has diminished; while platforms have become power hubs pursuing their interests through sophisticated data manipulation, the data they provide is increasingly trusted to hold the keys to understanding social life. These contradictions, we argue, are partially the result of a lack of philosophical discussion on the nature of social reality in the digital era; only from a firm metatheoretical perspective can we avoid forgetting the reality of the system under study as we are affected by the powerful social life of Big Data.

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“…De igual forma, podemos decir que parece que no existe un diálogo fluido entre los tres enfoques. Los diversos textos consultados sobre la complejidad vista desde las ciencias (Johnson, 2007;Érdi, 2008;Mitchell, 2009y Gribbin, 2004 no mencionan para nada las propuestas que se hacen desde las perspectivas del método y la cosmovisión, ejemplificadas aquí con trabajos de Edgar Morin, Gregory Bateson, FritjofCapra o Rolando García, aun a pesar de que en el Instituto Santa Fe, quizá la organización más representativa de la complejidad como ciencia, busca descubrir, comprender y comunicar los principios comunes fundamentales de los sistemas complejos físicos, computacionales, biológicos y sociales, para comunicar como proceso hermenéutico.…”

Section: Consideraciones Finalesunclassified

La complejidad en ciencias sociales humanas y algunas contribuciones metodológicas

Loyo¹,

López²,

Alvarado³

et al. 2018

Tendencias en La Investigación Universitaria. Una Visión Desde Latinoamérica. Volumen III

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Los estudios y trabajos realizados en complejidad son cada día más extensos. La mayoría de ellos gira en torno a planteamientos teóricos; no obstante, el trabajo que aquí se presenta muestra de manera explícita las implicaciones metodológicas del estudio de y el trabajo con fenómenos de complejidad creciente. La propuesta es iluminada por el paradigma emergente de la complejidad en interface con la tradición fenomenológica. Como resultado, el texto explora el sentido y la posibilidad de cómo se genera el conocimiento en las tres formas de ver la complejidad: método, cosmovisión y ciencia, proponiendo llenar en manera parcial ese vacío. Este artículo argumenta que las posibilidades metodológicas de la complejidad incluyen las hermenéuticas respectivas en cada caso. Tres son los ejes que articulan el argumento: primero, una declaración de lo que es la complejidad como método y sus derivaciones; luego, la consideración de las consecuencias de la complejidad como cosmovisión, y por último, se muestra la complejidad como ciencia a través de la teoría de redes. Al final, se extrae como conclusiones que las ciencias de la complejidad inclinan análisis hacia las matemáticas y la computación, mientras que la complejidad como método y cosmovisión no le dan la misma importancia. Las tres se basan en el trabajo interdisciplinario en beneficio de las ciencias sociales y humanas, cuyos avances, aproximaciones y aplicaciones tienen distintos frentes pero se proponen traspasar las barreras disciplinarias que separan a estos tres campos del saber.

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Applications

Cited by 10 publications

References 172 publications

Corticosterone oscillations during mania induction in the lateral hypothalamic kindled rat—Experimental observations and mathematical modeling

Corticosterone oscillations during mania induction in the lateral hypothalamic kindled rat—Experimental observations and mathematical modeling

The limits of computation: A philosophical critique of contemporary Big Data research

La complejidad en ciencias sociales humanas y algunas contribuciones metodológicas

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