Modeling habituation in rat EEG-evoked responses via a neural mass model with feedback

Abstract

Habituation is a generic property of the neural response to repeated stimuli. Its strength often increases as inter-stimuli relaxation periods decrease. We propose a simple, broadly applicable control structure that enables a neural mass model of the evoked EEG response to exhibit habituated behavior. A key motivation for this investigation is the ongoing effort to develop model-based reconstruction of multimodal functional neuroimaging data. The control structure proposed here is illustrated and validated in the context of a biophysical neural mass model, developed by Riera et al. (Hum Brain Mapp 27(11):896–914, 2006; 28(4):335–354, 2007), and of simplifications thereof, using data from rat EEG response to medial nerve stimuli presented at frequencies from 1 to 8 Hz. Performance was tested by predictions of both the response to the next stimulus based on the current one, and also of continued stimuli trains over 4-s time intervals based on the first stimulus in the interval, with similar success statistics. These tests demonstrate the ability of simple generative models to capture key features of the evoked response, including habituation.

The theory of constructed emotion: an active inference account of interoception and categorization

“… 9 Also see Makeig et al ., 2002 , 2004 ; Mazaheri and Jensen, 2010 ; Laxminarayan et al ., 2011 ; Qian and Di, 2011 ; Scheeringa et al , 2011 . …”

Estimating the parameters of neural mass models including time delay and nonlinearity using a particle filter: a preliminary study toward model‐based EEG analysis

“…Neural mass models (NMMs) are often used as biological models for simulating EEG and LFP data [7][8][9][10][11][12][13][14] and for the modelbased analysis of EEG and LFP [15]. NMMs are constructed using neuron population activity.…”

Neural Mass Models

“…More recent studies have shown that it is possible to reproduce the whole spectrum of MEG/EEG oscillations, using appropriate values of model parameters within a physiological range (David & Friston, 2003;Robinson et al, 2001). In addition, these models have been used to test specific hypotheses about brain processes, for example, resonance phenomena (Spiegler et al, 2011), habituation (Laxminarayan et al, 2012), aging (Pons et al, 2010), focal attention (Suffczynski et al, 2001), and vision (Nguyen Trong, Bojak, & Knö sche, 2012). Pathological activity such as epilepsy can also be emulated.…”