Hot off the presses! Jun 01 nrn

The Jun 01 issue of the nrn is now up on Pubget (About nrn): if you're at a subscribing institution, just click the link in the latest link at the home page. (Note you'll only be able to get all the PDFs in the issue if your institution subscribes to Pubget.)

Latest Articles Include:

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  - nrn 12(6):303 (2011)
  
• Sleep: Neurons take a nap | PDF (187 KB)
  - nrn 12(6):305 (2011)
  Sleep is unmistakably defined by behavioural inactivity and unresponsiveness to external stimuli, as well as by the presence of slow waves in the brain, which can be observed in the local field potential (LFP) and by electroencephalography (EEG). This has led to the assumption that sleep is a brain-wide state.
• Neuronal networks: Networking in the visual cortex | PDF (195 KB)
  - nrn 12(6):306 (2011)
  Sleep is unmistakably defined by behavioural inactivity and unresponsiveness to external stimuli, as well as by the presence of slow waves in the brain, which can be observed in the local field potential (LFP) and by electroencephalography (EEG). This has led to the assumption that sleep is a brain-wide state.
• Pain | Neurodegenerative disease | Neurogenesis | Development | PDF (88 KB)
  - nrn 12(6):306 (2011)
  Sleep is unmistakably defined by behavioural inactivity and unresponsiveness to external stimuli, as well as by the presence of slow waves in the brain, which can be observed in the local field potential (LFP) and by electroencephalography (EEG). This has led to the assumption that sleep is a brain-wide state.
• Neurotransmitter receptors: Negotiating the cytoskeletal tracks in neurons | PDF (313 KB)
  - nrn 12(6):307 (2011)
  Sleep is unmistakably defined by behavioural inactivity and unresponsiveness to external stimuli, as well as by the presence of slow waves in the brain, which can be observed in the local field potential (LFP) and by electroencephalography (EEG). This has led to the assumption that sleep is a brain-wide state.
• Molecular neuroscience: Synaptotagmin 10-mediated release | PDF (296 KB)
  - nrn 12(6):307 (2011)
  Sleep is unmistakably defined by behavioural inactivity and unresponsiveness to external stimuli, as well as by the presence of slow waves in the brain, which can be observed in the local field potential (LFP) and by electroencephalography (EEG). This has led to the assumption that sleep is a brain-wide state.
• Stem cells: Zooming in on schizophrenia | PDF (160 KB)
  - nrn 12(6):308 (2011)
  Sleep is unmistakably defined by behavioural inactivity and unresponsiveness to external stimuli, as well as by the presence of slow waves in the brain, which can be observed in the local field potential (LFP) and by electroencephalography (EEG). This has led to the assumption that sleep is a brain-wide state.
• Glia: Glia get rhythmic | PDF (180 KB)
  - nrn 12(6):308 (2011)
  Sleep is unmistakably defined by behavioural inactivity and unresponsiveness to external stimuli, as well as by the presence of slow waves in the brain, which can be observed in the local field potential (LFP) and by electroencephalography (EEG). This has led to the assumption that sleep is a brain-wide state.
• Cortical development: Activity makes interneurons shape up | PDF (159 KB)
  - nrn 12(6):308 (2011)
  Sleep is unmistakably defined by behavioural inactivity and unresponsiveness to external stimuli, as well as by the presence of slow waves in the brain, which can be observed in the local field potential (LFP) and by electroencephalography (EEG). This has led to the assumption that sleep is a brain-wide state.
• Sleep | Ageing | Addiction | Neurodevelopmental disorders | PDF (91 KB)
  - nrn 12(6):309 (2011)
  Sleep is unmistakably defined by behavioural inactivity and unresponsiveness to external stimuli, as well as by the presence of slow waves in the brain, which can be observed in the local field potential (LFP) and by electroencephalography (EEG). This has led to the assumption that sleep is a brain-wide state.
• Using theoretical models to analyse neural development
  - nrn 12(6):311 (2011)
  The development of the nervous system is an extremely complex and dynamic process. Through the continuous interplay of genetic information and changing intra- and extracellular environments, the nervous system constructs itself from precursor cells that divide and form neurons, which migrate, differentiate and establish synaptic connections. Our understanding of neural development can be greatly assisted by mathematical and computational modelling, because it allows us to bridge the gap between system-level dynamics and the lower level cellular and molecular processes. This Review shows the potential of theoretical models to examine many aspects of neural development.
• Spatiotemporal firing patterns in the cerebellum
  - nrn 12(6):327 (2011)
  The development of the nervous system is an extremely complex and dynamic process. Through the continuous interplay of genetic information and changing intra- and extracellular environments, the nervous system constructs itself from precursor cells that divide and form neurons, which migrate, differentiate and establish synaptic connections. Our understanding of neural development can be greatly assisted by mathematical and computational modelling, because it allows us to bridge the gap between system-level dynamics and the lower level cellular and molecular processes. This Review shows the potential of theoretical models to examine many aspects of neural development.
• Microbes' roadmap to neurons
  - nrn 12(6):345 (2011)
  The development of the nervous system is an extremely complex and dynamic process. Through the continuous interplay of genetic information and changing intra- and extracellular environments, the nervous system constructs itself from precursor cells that divide and form neurons, which migrate, differentiate and establish synaptic connections. Our understanding of neural development can be greatly assisted by mathematical and computational modelling, because it allows us to bridge the gap between system-level dynamics and the lower level cellular and molecular processes. This Review shows the potential of theoretical models to examine many aspects of neural development.
• Ageing as a primary risk factor for Parkinson's disease: evidence from studies of non-human primates
  - nrn 12(6):359 (2011)
  The development of the nervous system is an extremely complex and dynamic process. Through the continuous interplay of genetic information and changing intra- and extracellular environments, the nervous system constructs itself from precursor cells that divide and form neurons, which migrate, differentiate and establish synaptic connections. Our understanding of neural development can be greatly assisted by mathematical and computational modelling, because it allows us to bridge the gap between system-level dynamics and the lower level cellular and molecular processes. This Review shows the potential of theoretical models to examine many aspects of neural development.