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Neural fields, spectral responses and lateral connections

Pinotsis, DA; Friston, KJ; (2011) Neural fields, spectral responses and lateral connections. NEUROIMAGE , 55 (1) 39 - 48. 10.1016/j.neuroimage.2010.11.081. Gold open access


This paper describes a neural field model for local (mesoscopic) dynamics on the cortical surface. Our focus is on sparse intrinsic connections that are characteristic of real cortical microcircuits. This sparsity is modelled with radial connectivity functions or kernels with non-central peaks. The ensuing analysis allows one to generate or predict spectral responses to known exogenous input or random fluctuations. Here, we characterise the effect of different connectivity architectures (the range, dispersion and propagation speed of intrinsic or lateral connections) and synaptic gains on spatiotemporal dynamics. Specifically, we look at spectral responses to random fluctuations and examine the ability of synaptic gain and connectivity parameters to induce Turing instabilities. We find that although the spatial deployment and speed of lateral connections can have a profound affect on the behaviour of spatial modes over different scales, only synaptic gain is capable of producing phase-transitions. We discuss the implications of these findings for the use of neural fields as generative models in dynamic causal modeling (DCM). (c) 2010 Elsevier Inc. All rights reserved.

Type: Article
Title: Neural fields, spectral responses and lateral connections
Open access status: An open access publication
DOI: 10.1016/j.neuroimage.2010.11.081
Keywords: Neural field theory, Spectral analysis, Turing instability, Dynamic causal modelling, Connectivity, Synaptic gain, Electrophysiology, PRIMARY VISUAL-CORTEX, DYNAMIC CAUSAL-MODELS, NEURONAL NETWORKS, PATTERN-FORMATION, SPATIAL-PATTERNS, SPATIOTEMPORAL DYNAMICS, OLFACTORY-BULB, GAMMA EEGS, BRAIN, INHIBITION
URI: http://discovery.ucl.ac.uk/id/eprint/1300092
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