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Nestin-Cre mice are widely used to generate gene deletions in the developing brain. Surprisingly, fewNestin-Cre lines have been characterized for their temporal and brain region-specific recombination. In addition, some Nestin-Cre lines express Cre outside ...
Parkinson disease (PD) is characterized by the progressive degeneration of substantia nigra dopaminergic neurons projecting to the striatum. Since the deficit in striatal dopamine is the main cause of PD symptoms, it appears critical to preserve axon termi ...
Structural and functional diversity of GABAergic interneurons has become increasingly central in our understanding of the elemental steps of information processing in the brain. The use of different molecular, electrophysiological and anatomical techniques ...
Huntington's disease (HD) is a mid-life-onset neurodegenerative disorder characterized by involuntary movements, personality changes and dementia. It progresses to death within 10-20 years after onset. There is currently no cure to treat this fatal disease ...
Huntington's disease (HD), an inherited neurodegenerative disorder, results from an abnormal polyglutamine extension in the N-terminal region of the huntingtin protein. This mutation leads to protein aggregation and neurotoxicity. Despite its widespread ex ...
Cerebral rates of anaplerosis are known to be significant, yet the rates measured in vivo have been debated. In order to track glutamate metabolism in brain glutamatergic neurons and brain glia, for the first time unrestrained awake rats were continuously ...
Maximization of information transmission by a spiking-neuron model predicts changes of synaptic connections that depend on timing of pre- and postsynaptic spikes and on the postsynaptic membrane potential. Under the assumption of Poisson firing statistics, ...
Huntington's disease (HD) is an autosomal neurodegenerative disorder, caused by expansion of a glutamine repeat in the Huntingtin protein. Pathogenesis in HD includes the cytoplasmic cleavage of Huntingtin and release of an amino-terminal fragment capable ...
In the present paper we propose a novel method for the identification and modeling of neural networks using extracellular spike recordings. We create a deterministic model of the effective network, whose dynamic behavior fits experimental data. The network ...
We derive an optimal learning rule in the sense of mutual information maximization for a spiking neuron model. Under the assumption of small fluctuations of the input, we find a spike-timing dependent plasticity (STDP) function which depends on the time co ...
