Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-32062
Wang, Y; Liu, S C (2009). Input evoked nonlinearities in silicon dendrite circuits. In: IEEE International Symposium on Circuits and Systems, 2009 (ISCAS 2009), Taipei, Taiwan, 24 May 2009 - 27 May 2009, 2894-2897.
Most VLSI spiking network implementations are
constructed using point neurons. However, neurons with extended dendritic structures might offer additional computational advantages. Experimental evidence suggests that dendritic compartments could be considered as independent and parallel computational units. Depending on the synaptic input patterns, the dendritic integration could be either linear or nonlinear. We show the influence of spatio-temporal input patterns on the evoked dendritic integration in an aVLSI neuron chip with programmable dendritic compartments.
|Item Type:||Conference or Workshop Item (Speech), refereed, original work|
|Communities & Collections:||07 Faculty of Science > Institute of Neuroinformatics|
|DDC:||570 Life sciences; biology|
|Uncontrolled Keywords:||neuromorphic dendrite|
|Event End Date:||27 May 2009|
|Deposited On:||12 Mar 2010 16:09|
|Last Modified:||09 Jul 2012 04:17|
|Additional Information:||© 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Related URLs:||http://conf.ncku.edu.tw/iscas2009/ (Organisation)|
Scopus®. Citation Count: 7
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