Fluoxetine and serotonin facilitate attractive-adaptation-induced orientation plasticity in adult cat visual cortex

Bachatene, Lyes; Bharmauria, Vishal; Cattan, Sarah; Molotchnikoff, Stéphane

doi:10.1111/ejn.12206

Cited by 37 publications

(41 citation statements)

References 57 publications

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“…A part of the remaining population refracted the adapter and did not show any significant shift (< 5°) in orientation tuning (Bachatene et al ., , ; Jeyabalaratnam et al ., ). The corresponding proportion of repulsive shifts for both layers was found to be comparable (06 neurons in supra‐ and 07 in infragranular layers).…”

Section: Resultsmentioning

confidence: 99%

Comparative effects of adaptation on layers II–III and V–VI neurons in cat V1

Chanauria

Bharmauria

Bachatene

et al. 2016

Eur J of Neuroscience

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V1 is fundamentally grouped into columns that descend from layers II-III to V-VI. Neurons inherent to visual cortex are capable of adapting to changes in the incoming stimuli that drive the cortical plasticity. A principle feature called orientation selectivity can be altered by the presentation of non-optimal stimulus called 'adapter'. When triggered, LGN cells impinge upon layer IV and further relay the information to deeper layers via layers II-III. Using different adaptation protocols, neuronal plasticity can be investigated. Superficial neurons in area V1 are well acknowledged to exhibit attraction and repulsion by shifting their tuning peaks when challenged by a non-optimal stimulus called 'adapter'. Layers V-VI neurons in spite of partnering layers II-III neurons in cortical computation have not been explored simultaneously toward adaptation. We believe that adaptation not only affects cells specific to a layer but modifies the entire column. In this study, through simultaneous multiunit recordings in anesthetized cats using a multichannel depth electrode, we show for the first time how layers V-VI neurons (1000-1200 μm) along with layers II-III neurons (300-500 μm) exhibit plasticity in response to adaptation. Our results demonstrate that superficial and deeper layer neurons react synonymously toward adapter by exhibiting similar behavioral properties. The neurons displayed similar amplitude of shift and maintained equivalent sharpness of Gaussian tuning peaks before and the following adaptation. It appears that a similar mechanism, belonging to all layers, is responsible for the analog outcome of the neurons' experience with adapter.

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Section: Resultsmentioning

confidence: 99%

Comparative effects of adaptation on layers II–III and V–VI neurons in cat V1

Chanauria

Bharmauria

Bachatene

et al. 2016

Eur J of Neuroscience

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“…An OSI was calculated to ensure the tuning of neurons. It was measured using the fitted tuning curves by dividing the firing rate at baseline (orthogonal orientations) by the firing rate at the preferred orientation, and subtracting the result from 1 (Ramoa et al ., ; Liao et al ., ; Bachatene et al ., ). The closer the OSI is to 1, the stronger the orientation selectivity.…”

Section: Methodsmentioning

confidence: 98%

Network‐selectivity and stimulus‐discrimination in the primary visual cortex: cell‐assembly dynamics

Bharmauria

Bachatene

Cattan

et al. 2015

Eur J of Neuroscience

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Visual neurons coordinate their responses in relation to the stimulus; however, the complex interplay between a stimulus and the functional dynamics of an assembly still eludes neuroscientists. To this aim, we recorded cell assemblies from multi-electrodes in the primary visual cortex of anaesthetized cats in response to randomly presented sine-wave drifting gratings whose orientation tilted in 22.5° steps. Cross-correlograms divulged the functional connections at all the tested orientations. We show that a cell-assembly discriminates between orientations by recruiting a 'salient' functional network at every presented orientation, wherein, the connections and their strengths (peak-probabilities in the cross-correlogram) change from one orientation to another. Within these assemblies, closely tuned neurons exhibited increased connectivity and connection-strengths than differently tuned neurons. Minimal connectivity between untuned neurons suggests the significance of neuronal selectivity in assemblies. This study reflects upon the dynamics of functional connectivity, and brings to the fore the importance of a 'signature' functional network in an assembly that is strictly related to a specific stimulus. Apparently, it points to the fact that an assembly is the major 'functional unit' of information processing in cortical circuits, rather than the individual neurons.

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“…An orientation selectivity index (OSI) was calculated to ensure the tuning of neurons. It was measured using the fitted tuning curves by dividing the firing rate at baseline (orthogonal orientations) by the firing rate at the preferred orientation, and subtracting the result from one (Bachatene et al, 2013;Liao et al, 2004;Ramoa et al, 2001). The closer the OSI is to one, the stronger the orientation selectivity.…”

Section: Discussionmentioning

confidence: 99%

“…5). As described in the methods section, cells were tuned for orientation, and an orientation selectivity index (OSI) was calculated (Bachatene et al, 2013;Liao et al, 2004;Ramoa et al, 2001). This is attributed to a majority of closely tuned neurons (cell-pairs) that are present in all spreads.…”

Section: Difference Between Connected Unconnected and Untuned Unitsmentioning

confidence: 99%