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• W188858896 abstract "Event Abstract Back to Event Specificity versus associativity in models of paired-stimulus learning Many cognitive tasks require association of two stimuli to produce a response that differs from the response to either stimulus alone. For example, in the first phase of an associative transitive inference task [1], rats are presented with containers identifiable by a single cue odor (A or X) then a choice of two containers with odors (B or Y). To obtain reward, rats must learn that A predicts B, and X predicts Y. Thus neurons responsive to specific associations (e.g. A then B) must arise. In this study we investigate the requirements on network structure and plasticity rules for the formation of an associative response, namely neural firing to the combination of stimuli A and B that differs from the response A and Y or X and B. We begin with an initially randomly recurrently connected network of spiking neurons with structured inputs. We use progressively less structured inputs to determine how much randomness can be tolerated in a network that still generates a correct response. We find that spike-timing dependent plasticity (STDP) tends to “over-associate” so cells initially most responsive to a particular combination of inputs (A and B) also become more responsive to a single input (A alone) or a different combination (A and Y) after many trials. Long-term potentiation of inhibition [2] (LTPi) solves this problem by generating strong cross-inhibition that is essential to produce and maintain specificity in the circuitry. Triplet (BCM-like) STDP [3] combined with LTPi also produces specificity and has the advantage of generating strong self-excitatory connections necessary in the network circuitry, which are necessary for persistent activity (memory). In all studies, homeostasis by multiplicative synaptic scaling [4] is necessary to produce stability in the network. Finally, we find that progressively more random networks can still generate correct responses with the same learning rules. In conclusion, we find that biophysical learning rules can produce networks with circuitry capable of performing associative learning tasks, provided that strong cross-inhibition arises to maintain selectivity in the neural response. We discuss how these different plasticity mechanisms can be distinguished in the development of neural activity patterns during electrophysiological recordings during training. References 1. M. Bunsey and H. Eichenbaum, Nature 19962. A. Maffei, K. Nataraj, S.B. Nelson and G.G. Turrigiano, Nature 2005.3. J.P. Pfister and W. Gerstner, J. Neuroscience 20064. G.G.Turrigiano, Cell 2008 Conference: Computational and systems neuroscience 2009, Salt Lake City, UT, United States, 26 Feb - 3 Mar, 2009. Presentation Type: Poster Presentation Topic: Poster Presentations Citation: (2009). Specificity versus associativity in models of paired-stimulus learning. Front. Syst. Neurosci. Conference Abstract: Computational and systems neuroscience 2009. doi: 10.3389/conf.neuro.06.2009.03.154 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 03 Feb 2009; Published Online: 03 Feb 2009. Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Google Google Scholar PubMed Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page." @default.
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• W188858896 date "2009-01-01" @default.
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• W188858896 title "Specificity versus associativity in models of paired-stimulus learning" @default.
• W188858896 doi "https://doi.org/10.3389/conf.neuro.06.2009.03.154" @default.
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