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Mendeley readers
Chapter title |
Characterizing the Firing Properties of an Adaptive Analog VLSI Neuron
|
---|---|
Chapter number | 15 |
Book title |
Biologically Inspired Approaches to Advanced Information Technology
|
Published by |
Springer, Berlin, Heidelberg, January 2004
|
DOI | 10.1007/978-3-540-27835-1_15 |
Book ISBNs |
978-3-54-023339-8, 978-3-54-027835-1
|
Authors |
Daniel Ben Dayan Rubin, Elisabetta Chicca, Giacomo Indiveri |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 4% |
Switzerland | 1 | 4% |
Unknown | 24 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 31% |
Student > Master | 5 | 19% |
Professor | 5 | 19% |
Student > Bachelor | 3 | 12% |
Researcher | 2 | 8% |
Other | 2 | 8% |
Unknown | 1 | 4% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 13 | 50% |
Computer Science | 3 | 12% |
Physics and Astronomy | 3 | 12% |
Agricultural and Biological Sciences | 2 | 8% |
Neuroscience | 2 | 8% |
Other | 2 | 8% |
Unknown | 1 | 4% |