Title :
A biophysically based dendrite model using programmable floating-gate devices
Author :
Brink, Stephen ; Koziol, Scott ; Ramakrishnan, Shubha ; Hasler, Paul
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA
Abstract :
This paper presents our programmable floating-gate dendrite model based upon our transistor channel models. We are developing a flexible, low-power, real-time computational engine for studying, understanding, and implementing neural computation. Here we present a systematic study of the dynamics seen in this silicon model, emphasizing the connection to conventional neurobiological modeling of dendrites. These results provide a foundation for future work on larger systems.
Keywords :
elemental semiconductors; flexible electronics; low-power electronics; neural nets; programmable circuits; real-time systems; semiconductor device models; silicon; transistors; Si; biophysically based dendrite model; conventional neurobiological modeling; neural computation; programmable floating-gate devices; real-time computational engine; silicon model; transistor channel models; Engines; Silicon;
Conference_Titel :
Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-1683-7
Electronic_ISBN :
978-1-4244-1684-4
DOI :
10.1109/ISCAS.2008.4541447
