Title |
Knowing a synapse when you see one
|
---|---|
Published in |
Frontiers in Neuroanatomy, July 2015
|
DOI | 10.3389/fnana.2015.00100 |
Pubmed ID | |
Authors |
Alain Burette, Forrest Collman, Kristina D. Micheva, Stephen J. Smith, Richard J. Weinberg |
Abstract |
Recent years have seen a rapidly growing recognition of the complexity and diversity of the myriad individual synaptic connections that define brain synaptic networks. It has also become increasingly apparent that the synapses themselves are a major key to understanding the development, function and adaptability of those synaptic networks. In spite of this growing appreciation, the molecular, structural and functional characteristics of individual synapses and the patterning of their diverse characteristics across functional networks have largely eluded quantitative study with available imaging technologies. Here we offer an overview of new computational imaging methods that promise to bring single-synapse analysis of synaptic networks to the fore. We focus especially on the challenges and opportunities associated with quantitative detection of individual synapses and with measuring individual synapses across network scale populations in mammalian brain. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 3 | 38% |
United Kingdom | 1 | 13% |
Unknown | 4 | 50% |
Demographic breakdown
Type | Count | As % |
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Scientists | 4 | 50% |
Members of the public | 4 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Germany | 1 | <1% |
Unknown | 116 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 27 | 23% |
Researcher | 23 | 20% |
Student > Master | 12 | 10% |
Student > Bachelor | 11 | 9% |
Student > Doctoral Student | 9 | 8% |
Other | 14 | 12% |
Unknown | 21 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 30 | 26% |
Neuroscience | 27 | 23% |
Biochemistry, Genetics and Molecular Biology | 12 | 10% |
Medicine and Dentistry | 5 | 4% |
Chemistry | 4 | 3% |
Other | 13 | 11% |
Unknown | 26 | 22% |