Response dataset from Rey et al, Nat Comm, 2018 ReyHernan QuirogaRodrigo Quian 2019 <div>File 'Reyetal_NatComm_dataset.mat' is a Matlab file with the response dataset associated to the paper: </div><div><br></div><div>Rey et al, "Encoding of long-term associations through neural unitization in the human medial temporal lobe", Nat Commun. 2018 Oct 22;9(1):4372. doi: 10.1038/s41467-018-06870-2.</div><div><br></div><div>There are 3 variables common to all the responses:</div><div><br></div><div>time_pre_stim = 1; number of seconds from stimulus onset that were epoched on each trial. Same value for LFP and spikes</div><div>time_pos_stim = 2; number of seconds after stimulus onset that were epoched on each trial. Same value for LFP and spikes</div><div>time_LFP_extra = 0.5; number of additional seconds on each LFP trial at the beginning and end of the epoched LFP. This is to avoid border effects when the LFP is further filtered</div><div><br></div><div>The structure 'resp' has all the responses, with the following fields:</div><div><br></div><div>1) sessionID. The session number in which the response was found. From 1 to 21.</div><div>2) stimulus_name. The name of the jpg file that was presented as a stimulus</div><div>3) recording_site. Area where the electrode was implanted. RAH = right anterior hippocampus, LAH = left anterior hippocampus, RAM = right amygdala, LAM = left amygdala, RPH = right posterior hippocampus, LPH = left posterior hippocampus. </div><div>4) channel_number. Channel number in the recording setup.</div><div>5) cluster_number. Cluster number following spike sorting. Each cluster is associated to a different putative single neuron.</div><div>6) LFP_sr. Sampling rate for the LFP signal</div><div>7) original_sr. Original sampling rate used in the acquisition system</div><div>8) LFP. Matrix where each row is associated to a trial and columns are samples. The samples on each trial are structured as: [ceil((time_LFP_extra+time_pre_stim)*LFP_sr),ceil((time_pos_stim+time_LFP_extra)*LFP_sr)]. </div><div>9) spike_stimes. Cell array where each row contains a vector with the spike times associated to the occurrence of each spike, measured in msec for stimulus onset.</div>