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Scatterbrain Henning Beck. The Brain that Changes Itself: stories of personal triumph from the frontiers of brain science Norman Doidge. Moral Tribes Joshua Greene. Innate Kevin J. Do No Harm Henry Marsh. The Demon in the Machine Paul Davies. The Conscious Mind David J. Educate Your Brain Kathy Brown. Collective Emotions Christian Von Scheve. Dark Matter of the Mind Daniel L.

Table of contents List of contributors. Section I. Neurogenesis in adult primates P. Section II. Semaphorins: contributors to structural stability of hippocampal networks? Holtmaat et al. Neurotrophins and visual cortical plasticity A. Huberman, A. Dendritic spines: elementary structural units of neuronal plasticity M. Abnormal plastic changes in a rat model for mesial temporal lobe epilepsy: a short review J. Gorter, F. Lopes Da Silva. Cortical map plasticity in animals and humans J. Section III.

Learning and Memory.

A brain adaptation view of plasticity: is synaptic plasticity an overly limited concept? Grossman et al. Environmental enrichment and the brain A. Mohammed et al. Sex hormones, neuroprotection and cognition C.

Dynamic Brains and the Changing Rules of Neuroplasticity: Implications for Learning and Recovery

Memory reactivation and consolidation during sleep: from cellular mechanisms to human performance C. Pennartz et al. Sensory loss and cortical reorganization in mature primates J. Human brain plasticity: evidence from sensory deprivation and altered language experience H.

Perspective ARTICLE

Neville, D. Section IV. Circadian and Seasonal Plasticity. Modes of plasticity within the mammalian circadian system S. Amir et al. Functional plasticity of the circadian timing system in old age: light exposure E. Van Someren et al. The interdisciplinary team includes dentists, physicians, psychologists and neuroscientists.

We aim at better understanding peripheral and central pathomechanisms underlying these disorders, utilizing primarily functional magnetic resonance imaging and spectroscopy fMRI and fMRS. We developed several MR-compatible setups for reliable stimulation of extra and intraoral structures. We are also interested in behavioral aspects of pain. By collecting multicenter clinical data, we analyze potential pain etiologies and modifying factors.

Research projects on the cognitive and neural mechanisms of face and voice perception, on voice production, and on emotional processing. Research Focus: Decision making is central to human behavior and the ability to make good choices is necessary for personal health and optimal social functioning. Our goal is to understand the neural mechanisms of decision making in healthy, typical populations as well as how these processes become dysfunctional in specific behavioral disorders and pathophysiologies.

We examine the neural networks that mediate decision making for various reward types primary, monetary, social , and have shown that while key areas of the decision network are recruited across choice domains, the regions with which they interact differ between decision contexts. Using a combination of behavioral, neuroimaging, brain stimulation, and computational modeling techniques, current projects focus on the impact of factors such as stress, social feedback, and attention on both self-control and normative decision making.

Research Focus: Our neuroimaging findings suggest that the human hippocampal formation specializes in the rapid establishment of new associations between items in memory. Patient studies revealed that the hippocampal formation is necessary for the rapid encoding and retrieval of new associations even when encoding and retrieval were carried out unconsciously. We found a role of sleep in the consolidation of consciously and unconsciously acquired memories.

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Even de-novo memory formation during daytime naps appears feasible. We currently test for a potential advantage of unconscious over conscious information processing in situations where complex information needs to be simultaneously processed and integrated. This research informs models of information processing and models of memory systems at both the neural and mental level. Keywords: Human memory, unconscious information processing, hippocampus, sleep, neuroimaging.

In particular we focus on speech perception, multilingualism and literacy. We employ a variety of techniques including structural and functional MRI, EEG, MEG, tES and behavioural experiments combined with novel analyses to characterise the brain networks crucial to language, and their relationships with other cognitive faculties. We are particularly interested in using our fundamental research program to contribute developing interventions that can help support speech comprehension for individuals suffering from hearing impairment. Publications: google scholar.

A specific focus is placed on the neural and psychological foundations of music processing. In addition, they also work on the longitudinal changes of the human brain in the elderly.

The role of BDNF in depression on the basis of its location in the neural circuitry

Dr med. Research Focus:. Research Focus: Our research interests in neuroscience lie in developmental neuropsychology, in particular with emphasis on neuronal correlates of number processing and calculation in children and the effects of specific learning disorders, like developmental dyscalculia, or math anxiety on brain structure and function. Based on our own findings from behavioural and brain imaging studies magnetic resonance imaging and current knowledge about number processing and calculation we are also involved in the development and evaluation of special interventions for children with mathematical learning problems.

Keywords: number processing, dyscalculia, calculation, development, children, intervention, brain imaging, MRI. Specifically, we investigate the potential for plasticity, mechanisms for stabilization and compensation across the lifespan. In particular, we investigate the relationship between brain plasticity and cognitive functioning, such as perceptual processing, learning, working- memory, decision-making and processing speed.

In this context of neuroplasticity research, we are designing and implementing novel multi-modal paradigms e. These paradigms can also be used to decompose the critical component processes underlying performance of the behavioral tests that are used routinely in clinical diagnosis. Construction of the genetic variance—covariance matrix G matrix: Lande 79 would allow estimation of the lines of least resistance c.

Schluter and thus aid in our understanding of the constraints of brain evolution. Combining estimates of heritabilities, genetic correlations, and the G matrix with estimates of natural or sexual selection on different brain phenotypes would make a detailed reconstruction of the evolutionary process possible. This line of research is particularly promising; given that already candidate gene studies e.

The second line of advances might result from applying the well-established, simple, and sophisticated methodology from neurobiology to the above described evolutionary framework. As the brain is an expensive tissue from the energetic point of view Aiello and Wheeler 2 , any increase in its size should be more beneficial than the cost of developing and maintaining it e. However, given the many functions brain serve, linking variation in brain size to variation in any other e.

Further, even though the different brain parts might evolve in concert and not be entirely independent Finlay and Darlington 35 , not all changes in all brain parts might be detectable by measuring overall brain size.