A modeler's view on the spatial structure of intrinsic horizontal connectivity in the neocortex

Voges, Nicole; Schüz, Almut; Aertsen, Ad; Rotter, Stefan

doi:10.1016/j.pneurobio.2010.05.001

Cited by 75 publications

(93 citation statements)

References 133 publications

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“…For example, if two neurons are always active together in two distinct brain regions (such as the thalamus and the neocortex), their network distance will be short. Measures and methods of analysis designed to take this important spatial information into account have recently been introduced and described in the context of neuronal circuits and macroscopic brain networks [66,67] and will be important to further develop such methods.…”

Section: Statistical Relationshipmentioning

confidence: 99%

Dissecting functional connectivity of neuronal microcircuits: experimental and theoretical insights

Feldt

Bonifazi

Cossart

2011

Trends in Neurosciences

172

157

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Section: Statistical Relationshipmentioning

confidence: 99%

Dissecting functional connectivity of neuronal microcircuits: experimental and theoretical insights

Feldt

Bonifazi

Cossart

2011

Trends in Neurosciences

172

157

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“…The integration of spatially disparate but organizationally related visual information is a fundamental component of object perception, and has been highlighted in the adult psychophysics literature (Field et al, 1993; Kovács and Julesz, 1993; Mathes and Fahle, 2007; for review, see Loﬄer, 2008), the neurophysiological literature (Nelson and Frost, 1985; Ts’o et al, 1986; Gilbert and Wiesel, 1989; Gilbert et al, 1996; Bosking et al, 1997; Li, 1998; Stettler et al, 2002; Cass and Spehar, 2005), and in modeling work (Yen and Finkel, 1998; Grossberg and Williamson, 2001; Voges et al, 2010; Gintautas et al, 2011; Piëch et al, 2013). Following detection of contour segments, integrating these segments into a larger whole, or contour, is generally seen as the next step toward detecting individual objects.…”

Section: Path To Object Perceptionmentioning

confidence: 99%

“…The patchiness characteristic of the horizontal connections in adults (Gilbert et al, 1996; Stettler et al, 2002) begins emerging at 7 weeks post-natal and is anatomically “adult-like” by 24 months (Burkhalter et al, 1993; also see Galuske and Singer, 1996 for a similar description of the development of horizontal connections in cats). Computational models of development in the visual system strongly suggest that the spatial distribution of horizontal connections in the cortex can arise from self-organization following visual input (Voges et al, 2010) and from processing “real” images (Prodöhl et al, 2003). For example, Grossberg and Williamson (2001) implemented a (modeled) period of exuberant growth and a period of refinement for horizontal connections following initial visual input by emphasizing the role of balance between excitation and inhibition.…”

Section: Path To Object Perceptionmentioning

confidence: 99%

The development of contour processing: evidence from physiology and psychophysics

et al. 2014

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Object perception and pattern vision depend fundamentally upon the extraction of contours from the visual environment. In adulthood, contour or edge-level processing is supported by the Gestalt heuristics of proximity, collinearity, and closure. Less is known, however, about the developmental trajectory of contour detection and contour integration. Within the physiology of the visual system, long-range horizontal connections in V1 and V2 are the likely candidates for implementing these heuristics. While post-mortem anatomical studies of human infants suggest that horizontal interconnections reach maturity by the second year of life, psychophysical research with infants and children suggests a considerably more protracted development. In the present review, data from infancy to adulthood will be discussed in order to track the development of contour detection and integration. The goal of this review is thus to integrate the development of contour detection and integration with research regarding the development of underlying neural circuitry. We conclude that the ontogeny of this system is best characterized as a developmentally extended period of associative acquisition whereby horizontal connectivity becomes functional over longer and longer distances, thus becoming able to effectively integrate over greater spans of visual space.

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“…Another issue is that cortical long-range projections (up to a few millimeters) are generally established by exc. pyramidal cells (Voges et al 2010) which constitute up to 80% of all cortical neurons. Still, there are some hints for the existence of spatially extended inh.…”

Section: Spike Shapes and Negative Boldmentioning

confidence: 99%

Modeling of the Neurovascular Coupling in Epileptic Discharges

et al. 2011

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Despite the interest in simultaneous EEG-fMRI studies of epileptic spikes, the link between epileptic discharges and their corresponding hemodynamic responses is poorly understood. In this context, biophysical models are promising tools for investigating the mechanisms underlying observed signals. Here, we apply a metabolic-hemodynamic model to simulated epileptic discharges, in part generated by a neural mass model. We analyze the effect of features specific to epileptic neuronal activity on the blood oxygen level dependent (BOLD) response, focusing on the issues of linearity in neurovascular coupling and on the origin of negative BOLD signals. We found both sub- and supra-linearity in simulated BOLD signals, depending on whether one observes the early or the late part of the BOLD response. The size of these non-linear effects is determined by the spike frequency, as well as by the amplitude of the excitatory activity. Our results additionally indicate a minor deviation from linearity at the neuronal level. According to a phase space analysis, the possibility to obtain a negative BOLD response to an epileptic spike depends on the existence of a long and strong excitatory undershoot. Moreover, we strongly suggest that a combined EEG-fMRI modeling approach should include spatial assumptions. The present study is a step towards an increased understanding of the link between epileptic spikes and their BOLD responses, aiming to improve the interpretation of simultaneous EEG-fMRI recordings in epilepsy.

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A modeler's view on the spatial structure of intrinsic horizontal connectivity in the neocortex

Cited by 75 publications

References 133 publications

Dissecting functional connectivity of neuronal microcircuits: experimental and theoretical insights

Dissecting functional connectivity of neuronal microcircuits: experimental and theoretical insights

The development of contour processing: evidence from physiology and psychophysics

Modeling of the Neurovascular Coupling in Epileptic Discharges

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