Comparative effects of adaptation on layers II–III and V–VI neurons in cat V1 |
| |
| Authors: | Nayan Chanauria Vishal Bharmauria Lyes Bachatene Sarah Cattan Jean Rouat Stéphane Molotchnikoff |
| |
| Affiliation: | 1. Neurophysiology of Visual System, Département de Sciences Biologiques, Université de Montréal, Montréal, QC, Canada;2. The Visuomotor Neuroscience Lab, Centre for Vision Research, Faculty of Health, York University, Toronto, ON, Canada;3. Department of Nuclear Medicine and Radiobiology, Faculty of Medicine and Health Sciences (CHUS), SNAIL | Sherbrooke Neuro Analysis and Imaging Lab, University of Sherbrooke, Sherbrooke, QC, Canada;4. Département de Génie électrique et Génie Informatique, Université de Sherbrooke, Sherbrooke, QC, Canada |
| |
| Abstract: | 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. |
| |
| Keywords: | adaptation cortical plasticity infragranular primary visual cortex supragranular |
|
|
