This is the experimental dataset generated by Radhika Rajan, Rodrigo F. Dias, Margarida Baeta and Leopoldo Petreanu, published in : Radhika Rajan*, Rodrigo F. Dias*, Nikos Malakasis, Margarida Baeta, Xinyun Zhang, Julijana Gjorgjieva and Leopoldo Petreanu†. Visual experience exerts an instructive role on cortical feedback inputs to primary visual cortex Current Biology, 36,1-2 Feb 23 , 2026 The dataset contains receptive-field parameters and orientation/direction tuning information from axonal boutons of the lateromedial visual cortex (LM) and from neurons in the mouse primary visual cortex (V1). Receptive-field and tuning parameters for LM boutons were obtained using two-photon calcium imaging of axons expressing GCaMP6 in layer 1 of V1. Corresponding measurements for V1 neurons were recorded using jRGECO1a in layer 2/3 neurons located beneath the imaged LM boutons. Each data structure GR45_ctrlGR_GR135_dataset.mat contains data for 3 wild-type animal groups exposed to different visual experiences using distinct set of goggles with cylindrical lenses GR45 -Mice exposed to orientations around 45deg. -10 animalsGRcontrol - Mice wearing googles that do not filter any orientation.- 6 animalsGR135 - Mice exposed to orientations around 135deg. - 12 animals Most variables are organized as cells arrays of size 1×number-of-groups (i.e., 1×3)Column 1 - data from group - GR45Column 2 - data from group - GRcontrolColumn 3 - data from group - GR135 Each structure has variables with the names listed below. Unless specified within each cell is an array where rows are bouton ID in the case of bouton variables and neuron ID in the case of neuron variables. Contents of the data structures: boot_RF_CI_xy = Receptive Field 95% Confidence Interval distance in x and y coordinates for each bouton boot_RF_CI_amp = Receptive Field 95% Confidence Interval amplitude (euclidean distance) for each bouton meanN = mean V1 neurons Receptive Field center per imaging session nSess = ID number of session, resets for each animal real_animalID = animal ID number per bouton real_animalID_neur = animal ID number per neuron (all neuron ROIs, regardless of Receptive Field quality) real_animalID_neur_all = animal ID number per neuron (all neuron ROIs, regardless of Receptive Field quality) real_boutonFitResults_all = matrix containing data for all bouton ROIs (boutonID × 9). Each row includes the nine parameters obtained from the 2D Gaussian fit used to estimate the receptive field (offset, amplitude, xCenter, yCenter, rotationAngle, xAxis, yAxis, sum of squares, and Rsquare) real_dRF = Delta RF data - each bouton’s Receptive Field center minus mean Receptive Field center for neurons of same session (azimuth and elevation coordinates) real_dRF_amp = Delta RF in euclidian/radial distance - each bouton’s Receptive Field center minus mean Receptive Field center for neurons of same session real_dRF_tpos = each bouton’s Receptive Field center minus mean Receptive Field center for neurons of same session (angular difference where 0 is 0 azimuth and along the elevation axis, increasing clockwise) real_DSI = Direction Selectivity Index for each bouton - calculated from biggest response real_DSIPolar = Direction Selectivity Index for each bouton - calculated from vectorial sum of the responses to the 8 directions. Normalized amplitude of the resulting angle is the DSIPolar real_DSpind= logical vector, true if bouton is Direction Selective (t-test significant at 5% of preferred vs anti-preferred) real_ec = eccentricity value of each bouton (sqrt(1- short^2/longAxis^2) ) real_grnOSDS = logical vector, true = bouton is grating responsive boutons but not OS nor DS real_grRespind = logical vector true = bouton is grating responsive (SNR>1) real_longRFwidth = value in degrees of the long Receptive Field axis for each bouton real_meanResp = matrix of size (bouton ID × 8), where each column is the mean ΔF/F response of that bouton to one of the eight grating directions real_meanResp_perDir =1×8 array containing the mean of ΔF/F responses across all grating responsive boutons for each grating direction. real_meanResp_perOr =1×4 array containing the mean of ΔF/F responses across all grating responsive boutons for each grating orientation. real_MeanTraceDir = matrix of size (bouton ID × frames × 8), containing the mean ΔF/F values for each grating direction (8 directions) sampled at 6Hz. Stimulus onset occurs at frame 7; data were acquired at 6 Hz. real_neuronFitData_all = matrix containing data for all neuron ROIs (neuron ID × 9). Each row includes the nine parameters obtained from the 2D Gaussian fit used to estimate the receptive field (offset, amplitude, xCenter, yCenter, rotationAngle, xAxis, yAxis, sum of squares, and Rsquare) real_nSessionAn[a][b]i = array ( No. of animals in each group x 1) Gives the total number of boutons sampled from each animal for the bootstrap [c]real_OSI = Orientation Selectivity Index for each bouton - - calculated from biggest response real_OSI_neur_all = Orientation Selectivity Index for each neuron - calculated from vectorial sum of the responses to the 4 orientation. Normalized amplitude of the resulting angle real_OSIpolar = Orientation Selectivity Index each bouton: calculated from vectorial sum of the responses to the 4 orientation. Normalized amplitude of the resulting angle. real_OSp_ind_neur_all= logical vector, true = Orientation Selective neuron (t-test significant at 5% of preferred vs orthogonal) real_OSpind = logical vector, true = Orientation Selective bouton (t-test significant at 5% of preferred vs orthogonal) real_prefDir = index of preferred direction for each bouton (1 is upwards, grows clockwise) real_prefDirPolar = preferred direction for each bouton calculated from vectorial sum of the responses to the 8 directions. real_prefDirPolarBin =Preferred direction values for each bouton, discretized into eight bins (1–8). real_prefOrPolar = preferred orientation for each bouton calculated from vectorial sum of the responses to the 4 orientations. real_prefOrPolar_neur_all = preferred orientation for each neuron calculated from vectorial sum of the responses to the 4 orientations. real_prefOrPolarBin = Preferred orientation values for each bouton, discretized into four bins (1–4). real_RFangle_corr = Receptive Field angle with positive azimuth angle (grows clockwise) for each bouton real_RFarea = Receptive Field area for each bouton real_RS = Rsquare from Receptive Field fit for each bouton real_sessionID = Session ID per bouton, resets per animal real_sessionID_neur_all = Session ID per neuron, resets per animal real_shortRFwidth = value in degrees of the short Receptive Field axis for each bouton real_SNR = SNR value for grating responses for each bouton real_x0_B = azimuth coordinate (degrees) for RF center for each bouton real_y0_B = elevation coordinate (degrees) for RF center for each bouton