| Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits 2017 Edition Contributor(s): Florescu, Dorian (Author) |
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ISBN: 3319570803 ISBN-13: 9783319570808 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: May 2017 |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Electronics - Circuits - General - Mathematics | Applied - Medical | Neuroscience |
| Dewey: 519 |
| Series: Springer Theses |
| Physical Information: 0.44" H x 6.14" W x 9.21" (0.88 lbs) 139 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This work is motivated by the ongoing open question of how information in the outside world is represented and processed by the brain. Consequently, several novel methods are developed. A new mathematical formulation is proposed for the encoding and decoding of analog signals using integrate-and-fire neuron models. Based on this formulation, a novel algorithm, significantly faster than the state-of-the-art method, is proposed for reconstructing the input of the neuron. Two new identification methods are proposed for neural circuits comprising a filter in series with a spiking neuron model. These methods reduce the number of assumptions made by the state-of-the-art identification framework, allowing for a wider range of models of sensory processing circuits to be inferred directly from input-output observations. A third contribution is an algorithm that computes the spike time sequence generated by an integrate-and-fire neuron model in response to the output of a linear filter, given the input of the filter encoded with the same neuron model. |
