[Comp-neuro] Trading Speed and Accuracy by Coding Time: A Coupled-circuit Cortical Model

Dominic Standage standage at queensu.ca
Thu Apr 11 15:47:29 CEST 2013


Dear colleagues - apologies for cross posting. A new paper on the interactions between cortical timing and decision circuitry is available at

http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1003021

Standage D, You H, Wang D-H, Dorris MC (2013) Trading Speed and Accuracy by Coding Time: A Coupled-circuit Cortical Model. PLoS Comput Biol 9(4): e1003021. doi:10.1371/journal.pcbi.1003021

Abstract

Our actions take place in space and time, but despite the role of time in decision theory and the growing acknowledgement that the encoding of time is crucial to behaviour, few studies have considered the interactions between neural codes for objects in space and for elapsed time during perceptual decisions. The speed-accuracy trade-off (SAT) provides a window into spatiotemporal interactions. Our hypothesis is that temporal coding determines the rate at which spatial evidence is integrated, controlling the SAT by gain modulation. Here, we propose that local cortical circuits are inherently suited to the relevant spatial and temporal coding. In simulations of an interval estimation task, we use a generic local-circuit model to encode time by 'climbing' activity, seen in cortex during tasks with a timing requirement. The model is a network of simulated pyramidal cells and inhibitory interneurons, connected by conductance synapses. A simple learning rule enables the network to quickly produce new interval estimates, which show signature characteristics of estimates by experimental subjects. Analysis of network dynamics formally characterizes this generic, local-circuit timing mechanism. In simulations of a perceptual decision task, we couple two such networks. Network function is determined only by spatial selectivity and NMDA receptor conductance strength; all other parameters are identical. To trade speed and accuracy, the timing network simply learns longer or shorter intervals, driving the rate of downstream decision processing by spatially non-selective input, an established form of gain modulation. Like the timing network's interval estimates, decision times show signature characteristics of those by experimental subjects. Overall, we propose, demonstrate and analyse a generic mechanism for timing, a generic mechanism for modulation of decision processing by temporal codes, and we make predictions for experimental verification.

Dominic Standage
Postdoctoral Research Fellow
Department of Biomedical and Molecular Sciences / Centre for Neuroscience Studies
Queen's University, Botterell Hall, Room 453
Kingston, Ontario, Canada K7L 3N6
Tel: 613 533-3256 Fax: 613 533-6880
Email: standage at queensu.ca<mailto:standage at biomed.queensu.ca>

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