| 1. |
- Anselm, Jonas, et al.
(författare)
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Bannlys alla politiska beslut som ger mer klimatutsläpp
- 2014
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Ingår i: Dagens Nyheter.
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Torftig valdebatt. Dagspolitiken klarar inte att hantera ödesfrågan om klimatet, vilket oroar oss. Vi föreslår därför ett ”utsläppsmoratorium”: inga beslut får tas som ökar utsläppen av växthusgaser. Principen måste kopplas till mål om exempelvis förnybar energi och grön infrastruktur, skriver 23 forskare och debattörer.
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| 2. |
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| 3. |
- Eckerberg, Katarina, et al.
(författare)
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Varför brister politikerna när det gäller miljömålen?
- 2012
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Ingår i: Dagens Nyheter. - 1101-2447.
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Vad ska vi svara? Politikernas ambitiösa miljömål uppfylls sällan eller aldrig. När våra elever frågar oss varför blir vi ofta svaret skyldiga. Om politikerna inte vill att väljarna ska dra slutsatsen att de har misslyckats, måste de ange en realistisk väg att nå de uppsatta målen. Det skulle väcka respekt, skriver ledande forskare och samhällsplanerare.
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| 4. |
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| 5. |
- Liljenström, Hans
(författare)
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A biologically inspired model for pattern recognition
- 2010
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Ingår i: Journal of Zhejiang University Science B. - 1673-1581 .- 1862-1783. ; 11, s. 115-126
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Tidskriftsartikel (refereegranskat)abstract
- In this paper, a novel bionic model and its performance in pattern recognition are presented and discussed. The model is constructed from a bulb model and a three-layered cortical model, mimicking the main features of the olfactory system. The olfactory bulb and cortex models are connected by feedforward and feedback fibers with distributed delays. The Breast Cancer Wisconsin dataset consisting of data from 683 patients divided into benign and malignant classes is used to demonstrate the capacity of the model to learn and recognize patterns, even when these are deformed versions of the originally learned patterns. The performance of the novel model was compared with three artificial neural networks (ANNs), a back-propagation network, a support vector machine classifier, and a radial basis function classifier. All the ANNs and the olfactory bionic model were tested in a benchmark study of a standard dataset. Experimental results show that the bionic olfactory system model can learn and classify patterns based on a small training set and a few learning trials to reflect biological intelligence to some extent
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| 6. |
- Liljenström, Hans
(författare)
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Dialog - en väg till ökad förståelse?
- 2010
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Ingår i: Bortom tro och vetande - tankar från en dialog. - 9789173313582 ; , s. 96-126
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Bokkapitel (övrigt vetenskapligt/konstnärligt)
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| 7. |
- Liljenström, Hans
(författare)
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Evolving complexity, cognition, and consciousness
- 2012
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Ingår i: Science and Culture Series - Astrophysics. ; , s. 171-188
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Konferensbidrag (refereegranskat)abstract
- All through the history of the universe there is an apparent tendency for increasing complexity, with the organization of matter in evermore elaborate and interactive systems. The living world in general, and the human brain in particular, provides the highest complexity known. It seems obvious that all of this complexity must be the result of physical, chemical and biological evolution, but it was only with Darwin that we began to get a scientific understanding of biological evolution. Darwinian principles are guiding in our understanding of such complex systems as the nervous system, but also for the evolution of human society and technology. Living organisms have to survive in a complex and changing environment. This implies response and adaption to environmental events and changes at several time scales. The interaction with the environment depends on the present state of the organism, as well as on previous experiences stored in its molecular and cellular structures. At a longer time scale, organisms can adapt to slow environmental changes, by storing information in the genetic material carried over from generation to generation. This phylogenetic learning is complemented by ontogenetic learning, which is adaptation at a shorter time scale, occuring in non -genetic structures. The evolution of a nervous system is a major transition in biological evolution and allows for an increasing capacity for information storage and processing, increasing chances of survival. Such neural knowledge processing, cognition, shows the same principal features as non neural adaptive processes. Similarly, consciousness might appear, to different degrees, at different stages in evolution. Both cognition and consciousness depends critically on the organization and complexity of the organism. In this presentation, I will briefly discuss general principles for evolution of complexity, focussing on the evolution of the nervous system, which provides organisms with ever increasing capacity for complex behaviour, cognition and consciousness. I will also discuss some computational approaches, as tools for understanding relations between structure, dynamics and function of the nervous system.
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| 8. |
- Liljenström, Hans
(författare)
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Free Will and Spatiotemporal Neurodynamics
- 2014
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Ingår i: Advances in cognitive neurodynamics. - 2213-3569. ; 4, s. 521-527
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Konferensbidrag (refereegranskat)abstract
- It is widely assumed that neuroscience has proved that conscious will is an illusion. Indeed, a number of experimental results seem to indicate that conscious will is not causally related to the willed action, i.e. epiphenomenal. There are, however, alternative ways of interpreting the results that these conclusions are based on, and this paper examines the scientific arguments and experiments regarding conscious will. We argue that there is, as yet, no empirical support for epiphenomenal conscious will, and that the alternative hypothesis, that conscious will is causative, is also consistent with experimental data. We also use computational models and simulations to demonstrate that local neural impulses may trigger global oscillatory activity after a substantial delay period, supporting the idea that intentional impulses may be part of a conscious will experience.
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| 9. |
- Liljenström, Hans
(författare)
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Inducing Transitions in Mesoscopic Brain Dynamics
- 2010
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Ingår i: Modeling Phase Transitions in the Brain. - New York, NY : Springer New York. - 9781441907950 ; :4, s. 147-177
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Bokkapitel (övrigt vetenskapligt/konstnärligt)
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| 10. |
- Liljenström, Hans
(författare)
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Intention and Attention in Consciousness Dynamics and Evolution
- 2011
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Ingår i: Journal of Cosmology. - 2159-063X. ; 14, s. 4848-4858
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Tidskriftsartikel (refereegranskat)abstract
- All through the history of the universe there is an apparent tendency for increasing complexity, with the organization of matter in evermore elaborate and interactive systems. The living world in general, and the human brain in particular, provides the highest complexity known. Presumably, the neural system with its complex dynamics has evolved to cope with the complex dynamics of the environment, where it is embedded. The evolution of a nervous system constitutes a major transition in biological evolution and allows for an increasing capacity for information storage and processing. Neural knowledge processing, cognition, shows the same principal features as non-neural adaptive processes. Similarly, consciousness might appear, to different degrees, at different stages in evolution. Both cognition and consciousness seem to depend critically on the organization and complexity of the organism. Different states of consciousness can apparently be associated with different levels of neural activity, in particular with different oscillatory modes at the mesoscopic level of cortical networks. Transitions between such modes could also be related to transitions between different states of consciousness. For example, a transition from an awake to an anaesthetized state, or sleep, is accompanied by a transition from high frequency oscillations to low frequency oscillations in the cortical neurodynamics. In this article, I will briefly discuss some general aspects on the evolution of the nervous system and its complex neurodynamics, which provides organisms with ever increasing capacity for complex behaviour, cognition and consciousness. Consciousness and cognition apparently evolve through interaction with the environment, where the organism is embedded. Such exploration of the environment requires both attention and intention. I will discuss these dual and complementary aspects of consciousness, and their effects as perception and action. Finally, I will speculate on consciousness related to life, and how it may be regarded as a driving force in the exploration of our world
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