Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/31325
Appears in Collections:Psychology Journal Articles
Peer Review Status: Refereed
Title: Contextual Modulation in Mammalian Neocortex is Asymmetric
Author(s): Kay, Jim W
Phillips, William A
Keywords: asymmetry
multivariate mutual information
information decomposition
contextual modulation
synergy
neural systems
Issue Date: May-2020
Citation: Kay JW & Phillips WA (2020) Contextual Modulation in Mammalian Neocortex is Asymmetric. Symmetry, 12 (5), Art. No.: 815. https://doi.org/10.3390/sym12050815
Abstract: Neural systems are composed of many local processors that generate an output given their many inputs as specified by a transfer function. This paper studies a transfer function that is fundamentally asymmetric and builds on multi-site intracellular recordings indicating that some neocortical pyramidal cells can function as context-sensitive two-point processors in which some inputs modulate the strength with which they transmit information about other inputs. Learning and processing at the level of the local processor can then be guided by the context of activity in the system as a whole without corrupting the message that the local processor transmits. We use a recent advance in the foundations of information theory to compare the properties of this modulatory transfer function with that of the simple arithmetic operators. This advance enables the information transmitted by processors with two distinct inputs to be decomposed into those components unique to each input, that shared between the two inputs, and that which depends on both though it is in neither, i.e., synergy. We show that contextual modulation is fundamentally asymmetric, contrasts with all four simple arithmetic operators, can take various forms, and can occur together with the anatomical asymmetry that defines pyramidal neurons in mammalian neocortex.
DOI Link: 10.3390/sym12050815
Rights: Copyright 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

Files in This Item:
File Description SizeFormat 
symmetry-12-00815.pdfFulltext - Published Version602.48 kBAdobe PDFView/Open



This item is protected by original copyright



A file in this item is licensed under a Creative Commons License Creative Commons

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.