Some of the major analysis types are documented below. For more information about these or other analyses, contact Wyeth Bair. Analysis types are listed beneath the command (nda or nda_corr) that implements the analysis.
barnoise White-noise analysis for 1D array of random bars. bar1ran Analysis for sparse random bar stimulus. char_01 Characterize tuning curves: spline fit, peak height and width, and direction and orientation indices. characterize_lms_sf Compute cone weights from cone-isolating SF tuning curves. characterize_plaid Characterize responses to a joint plaid and grating stimulus. choice_prob Choice probability; computing a decision variable from spike channels. coverage Stimulus-response coverage and related maps. event_interval Compute the distribution of time between specific events. event_stat Compute simple statistical summaries of event times. f1 F1 (F2, etc.) analysis for temporally periodic signals (spikes and continuous) fn compute amplitude and phase at multiple frequencies, for sum-of-sine stimuli. grid_sta spike-triggered average for spatial grid white-noise isi inter-spike interval percent_plot probabilities - e.g. for percent correct curves, psychophysics plot plot continuous signals psth peri-stimulus time histogram (PSTH), and power spectrum thereof psth_trig peri-stimulus time histogram (PSTH) relative to triggers within random stimulus sequences (e.g., 'gabor_britt' stimuli) param examine and print trial parameter values pta stimulus pattern-triggered average response pwr power spectrum raster spike times, spike train plots sc_var spike count mean and variance sr spike rate (and continuous data, partially impl'd) sta spike-triggered average sta_multi spike-triggered average tref analyze trial start time sequence write_stim_seq write values of a random stimulus sequence to a text file
rsc spike count correlation coefficient sr_corr r_signal for a pair of neurons, i.e., correlation of tuning curves tcorr spike count cross-correlation, TAC and TCC transmit spike transmission statistics for a pair of neurons xcorr cross-correlation, auto-correlation for spikes and continuous data xcorr_pta cross-correlation of pattern-triggered responses