Long adaptation reveals mostly attractive shifts of orientation tuning in cat primary visual cortex

Ghisovan, Narcis; Nemri, Abdellatif; Shumikhina, Svetlana; Molotchnikoff, Stéphane

doi:10.1016/j.neuroscience.2009.09.003

Cited by 59 publications

(108 citation statements)

References 37 publications

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“…Long adaptation leads to the shift of orientation tuning towards attractive direction [61]. In a similar fashion, repetitive adaptation to a nonpreferred spatial frequency reveals the spatial frequency tuning shifts in cat visual cortex [49].…”

Section: Plasticity and Adaptation In The Visual Cortexmentioning

confidence: 68%

“…After adaptation to a non preferred orientation, obtained tuning curve for the new preferred orientation (after adaptation) can shift in two directions relative to the original preferred orientation: attractive or repulsive [11,61,63,64]. An attractive shift is a shift of the tuning curve towards the adapting orientation.…”

Section: Plasticity and Adaptation In The Visual Cortexmentioning

confidence: 99%

“…Recent investigations revealed the ability of visual neurons to respond to different stimuli conditions (deprivation or imposition) by changing their optimal properties acquired after birth. This adaptation of neurons for visual perception suggests the existence of neuronal plasticity in adults, hence a mature brain.Adaptation-induced-plasticity of orientation in primary visual cortex is characterized by authors as the ability of cortical neurons to change their preferred orientation following a long [11,61,63] or short [62,65] exposure to a non-preferred orientation for the primary Adaptation and Neuronal Network in Visual Cortex 329 visual cortex neurons in cats, e.g. Long adaptation leads to the shift of orientation tuning towards attractive direction [61].…”

mentioning

confidence: 99%

“…Attractive shifts are more frequent than repulsive shifts in longer adaptation durations (≥ 6 min) [11,61]. Repeated or prolonged exposure to an adapter diminished neuronal responses evoked by the original optimal properties, furthermore in parallel, if it is the neuron's preferred stimulus [61]. Optical imaging investigations in recent years have also revealed the impact of adaptation-induced-plasticity, showing that orientation maps in V1 can be modified by imposing one particular orientation [62,65,67].…”

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confidence: 99%

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Adaptation and Neuronal Network in Visual Cortex

Bachatene¹,

Bharmauria²,

Molotchnikoff³

2012

Visual Cortex - Current Status and Perspectives

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Additional information is available at the end of the chapter http://dx.doi.org/10.5772/46011 IntroductionComplex mechanisms from retina to different visual areas allow us to read these lines. The visual system is inevitable for the way we interact with our surroundings as majority of our impressions, memories, feelings are bound to the visual perception. Millions of cortical neurons are implicated and programmed specifically to frame this incredible interface (perception) for us to interact with the world. Neurons in the visual cortex respond essentially to the variations in luminance occurring within their receptive fields, where each neuron fires maximally by acting as a filter for stimulus features such as orientation, motion, direction and velocity, with an appropriate combination of these properties [1][2][3][4][5].The seminal work of Hubel and Wiesel on the visual cortex of cat [1,2,[6][7][8], has been instrumental in establishing the anatomical and physiological aspects of the visual cortex. Many studies by various investigators on the visual cortex of different animals, thereafter, have been phenomenal in understanding the brain in general and the vision in particular; yet, neuronal mechanisms involved in processing of stimuli still elude our complete understanding of cortical functioning. These findings have been crucial in unravelling the organization of the visual cortex. The visual cortex reorganises itself in the postnatal development, within a specific period called 'the critical period ' [9], which is a period characterised with pronounced brain plasticity. In recent years, the focus of the research has been to comprehend the 'reorganization' of neuronal framework, especially after the so called 'critical period ' [10-12] in response to various conditions and its ability to adapt accordingly. This amazing tendency of brain to change its neuronal connections and properties is termed 'plasticity' [13]. Two common approaches to study the reorganization of visual cortex are frequently applied: deprivation and induced adaptation. Deprivation refers to the removal of sensory inputs, whereas induced adaptation refers to the forceful application of a sensory input. Consequently, neurons communicate dynamically with each Visual Cortex -Current Status and Perspectives 324 other in a specific way self-assembling, auto-calibrating, memorizing and adapting to different stimuli properties, thus responding accordingly to several experiences [14][15][16].The aim of this chapter is to primarily focus on how the linkage between cells changes following plastic modifications of cortical neuronal properties, that is, how the reorganization of the cortical network is modulated following adaptation-induced plasticity, as it is inferred by cross-correlating the action potentials of the neurons in the primary visual cortex. We begin with the general architecture of visual cortex (particularly cat visual cortex), followed by a brief introduction to plasticity and adaptation. Then, we cite an example of modification of th...

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Section: Plasticity and Adaptation In The Visual Cortexmentioning

confidence: 68%

Section: Plasticity and Adaptation In The Visual Cortexmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Adaptation and Neuronal Network in Visual Cortex

Bachatene¹,

Bharmauria²,

Molotchnikoff³

2012

Visual Cortex - Current Status and Perspectives

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“…Adaptation effects have been characterized in the retina (e.g., Baccus and Meister 2002;Brown and Maslund 2001;Chander and Chichilnisky 2001;Rieke 2001;Zaghloul et al 2005), lateral geniculate nucleus (LGN; e.g., Camp et al 2009;McLelland et al 2009;Solomon et al 2004), primary visual cortex (e.g., Carandini et al 1997;Crowder et al 2006;Dragoi et al 2000;Felsen et al 2002;Ghisovan et al 2009;Movshon and Lennie 1989;Muller et al 1999;Ohzawa et al 1985;Wissig and Kohn 2012), area MT (e.g., Kohn and Movshon 2004;Krekelberg et al 2006b;Van Wezel and Britten 2002;Yang and Lisberger 2009), and inferotemporal cortex (e.g., Liu et al 2009;Sawamura et al 2006), among many others (for recent reviews see Kohn 2007;Webster 2011).…”

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Similar adaptation effects in primary visual cortex and area MT of the macaque monkey under matched stimulus conditions

Patterson

Duijnhouwer

Wissig

et al. 2014

Journal of Neurophysiology

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Patterson CA, Duijnhouwer J, Wissig SC, Krekelberg B, Kohn A. Similar adaptation effects in primary visual cortex and area MT of the macaque monkey under matched stimulus conditions. J Neurophysiol 111: 1203-1213, 2014. First published December 26, 2013 doi:10.1152/jn.00030.2013.-Recent stimulus history, or adaptation, can alter neuronal response properties. Adaptation effects have been characterized in a number of visually responsive structures, from the retina to higher visual cortex. However, it remains unclear whether adaptation effects across stages of the visual system take a similar form in response to a particular sensory event. This is because studies typically probe a single structure or cortical area, using a stimulus ensemble chosen to provide potent drive to the cells of interest. Here we adopt an alternative approach and compare adaptation effects in primary visual cortex (V1) and area MT using identical stimulus ensembles. Previous work has suggested these areas adjust to recent stimulus drive in distinct ways. We show that this is not the case: adaptation effects in V1 and MT can involve weak or strong loss of responsivity and shifts in neuronal preference toward or away from the adapter, depending on stimulus size and adaptation duration. For a particular stimulus size and adaptation duration, however, effects are similar in nature and magnitude in V1 and MT. We also show that adaptation effects in MT of awake animals depend strongly on stimulus size. Our results suggest that the strategies for adjusting to recent stimulus history depend more strongly on adaptation duration and stimulus size than on the cortical area. Moreover, they indicate that different levels of the visual system adapt similarly to recent sensory experience. surround suppression; adaptation duration; motion processing; plasticity; V1 ADAPTATION, the stimulus history of the preceding hundreds of milliseconds to minutes, can profoundly change neuronal response properties. Adaptation effects have been characterized in the retina (e.g., Baccus and Meister 2002;Brown and

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Primary Visual Cortex Modules in Mammals

Merkulyeva

2023

Neurosci Behav Physi

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Long adaptation reveals mostly attractive shifts of orientation tuning in cat primary visual cortex

Cited by 59 publications

References 37 publications

Adaptation and Neuronal Network in Visual Cortex

Adaptation and Neuronal Network in Visual Cortex

Similar adaptation effects in primary visual cortex and area MT of the macaque monkey under matched stimulus conditions

Primary Visual Cortex Modules in Mammals

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