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Ventral tegmental area (VTA) dopamine neurons in the brain's reward circuit have a crucial role in mediating stress responses, including determining susceptibility versus resilience to social-stress-induced behavioural abnormalities. VTA dopamine neurons show two in vivo patterns of firing: low frequency tonic firing and high frequency phasic firing. Phasic(More)
The complexity and cellular heterogeneity of neural circuitry presents a major challenge to understanding the role of discrete neural populations in controlling behavior. While neuroanatomical methods enable high-resolution mapping of neural circuitry, these approaches do not allow systematic molecular profiling of neurons based on their connectivity. Here,(More)
Targeted, temporally regulated neural modulation is invaluable in determining the physiological roles of specific neural populations or circuits. Here we describe a system for non-invasive, temporal activation or inhibition of neuronal activity in vivo and its use to study central nervous system control of glucose homeostasis and feeding in mice. We are(More)
Retro-TRAP (translating ribosome affinity purification) technology enables the synthesis of molecular and neuroanatomical information through the use of transgenic and viral approaches. In contrast to other methods that are used to profile neural circuits such as laser-capture microdissection and FACS, Retro-TRAP is a high-throughput methodology that(More)
Ventral tegmental area (VTA) dopamine (DA) neurons in the brain's reward circuit play a crucial role in mediating stress responses 1–4 including determining susceptibility vs. resilience to social stress-induced behavioural abnormalities 5. VTA DA neurons exhibit two in vivo patterns of firing: low frequency tonic firing and high frequency phasic firing(More)
Several authors have proposed the use of exponential time differencing (ETD) for Hodgkin-Huxley-like partial and ordinary differential equations (PDEs and ODEs). For Hodgkin-Huxley-like PDEs, ETD is attractive because it can deal effectively with the stiffness issues that diffusion gives rise to. However, large neuronal networks are often simulated assuming(More)
Several authors have proposed the use of exponential time di↵erencing (ETD) for Hodgkin-Huxley-like partial and ordinary di↵erential equations (PDEs and ODEs). For Hodgkin-Huxley-like PDEs, ETD is attractive because it can deal e↵ectively with the sti↵ness issues that di↵usion gives rise to. However, large neuronal networks are often simulated assuming "(More)
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