Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/26717
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Unrefereed
Author(s): Shiva, Ashraya Samba
Gogate, Mandar
Howard, Newton
Graham, Bruce
Hussain, Amir
Contact Email: ahu@cs.stir.ac.uk
Title: Complex-valued computational model of hippocampal CA3 recurrent collaterals
Editor(s): Howard, N
Wang, Y
Hussain, A
Widrow, B
Zadeh, LA
Citation: Shiva AS, Gogate M, Howard N, Graham B & Hussain A (2017) Complex-valued computational model of hippocampal CA3 recurrent collaterals In: Howard N, Wang Y, Hussain A, Widrow B, Zadeh LA (ed.) 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers Inc. 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing - ICCI*CC 2017, 26.7.2017 - 28.7.2017, Oxford, pp. 161-166.
Issue Date: 16-Nov-2017
Conference Name: 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing - ICCI*CC 2017
Conference Dates: 2017-07-26T00:00:00Z
Conference Location: Oxford
Abstract: Complex planes are known to simplify the complexity of real world problems, providing a better comprehension of their functionality and design. The need for complex numbers in both artificial and biological neural networks is equally well established. In the latter, complex numbers allows neuroscientists to consider and analyze the phase component of brain oscillations occurring during chains of action potentials. This paper implements complex-valued weights and inputs in the real valued recurrent collaterals model introduced by Káli & Dayan for the CA3 region of the hippocampus, with equations appropriately modified to include the phase component. Complex models can generally be implemented by solving the real and complex parts separately resulting from solving the model equations twice. This implementation is simulated here and the results demonstrate the model's potential utility for further mathematical and neurobiological analysis to define a proper phase function which oscillates in the theta frequency range.
Status: Publisher version
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
URL: http://ieeexplore.ieee.org/document/8109745/

Files in This Item:
File Description SizeFormat 
08109745.pdf472.09 kBAdobe PDFUnder Permanent Embargo    Request a copy

Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.



This item is protected by original copyright



Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.