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To explain investing decisions, financial theorists invoke two opposing metrics: expected reward and risk. Recent advances in the spatial and temporal resolution of brain imaging techniques enable investigators to visualize changes in neural activation bef ...
The neurogenic subventricular zone (SVZ) of the lateral ventricle is a potential source for neuronal replacement in the postnatal or adult neocortex after injury. Here we present a novel model system to directly explore the cellular mechanisms of this proc ...
The acknowledged importance of uncertainty in economic decision making has stimulated the search for neural signals that could influence learning and inform decision mechanisms. Current views distinguish two forms of uncertainty, namely risk and ambiguity, ...
Neocortical function and malfunction depends critically on a spectrum of inhibitory interneurons. To gain novel insight in normal brain function and mechanisms leading to diseases, such as epilepsy or schizophrenia, the knowledge about the specific functio ...
We propose a network model of spiking neurons, without preimposed topology and driven by STDP (Spike-Time-Dependent Plasticity), a temporal Hebbian unsupervised learning mode, biologically observed. The model is further driven by a supervised learning algo ...
The recent spate of neuroimaging studies on decision-making under uncertainty has provided converging evidence of a spatio-temporal dissociation of risk and expected reward encoding in the human brain. While this research has demonstrated widespread hemody ...
In vivo 1H NMR spectroscopy at 7 T was utilized to measure the changes in lactate concentration upon repeated identical visual stimuli, each lasting for 2 min. The average amplitude of these increases was found to be reduced over time (P < 0.01), from 0.13 ...
Gene expression changes are a hallmark of the neuropathology of Huntington's disease (HD), but the exact molecular mechanisms of this effect remain uncertain. Here, we report that in vitro models of disease comprised of primary striatal neurons expressing ...
As large-scale, detailed network modeling projects are flourishing in the field of computational neuroscience, it is more and more important to design single neuron models that not only capture qualitative features of real neurons but are quantitatively ac ...
Parkinson's disease (PD) is a common progressive neurodegenerative disorder characterized clinically by the combination of motor symptoms like bradykinesia, tremor, rigidity and postural instability. The pathology of PD is related to the degeneration of do ...
