Skip to content
/ psc-detection Public

A Bayesian/probabilistic approach to modelling postsynaptic currents in whole-cell voltage-clamp traces. PSCs can then be detected from noisy data using Gibbs Sampling.

0 stars 1 fork Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

shababo/psc-detection

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

346 Commits
functions
functions
 
 
notes
notes
 
 
stimfit
stimfit
 
 
yeti-scripts
yeti-scripts
 
 
.gitignore
.gitignore
 
 
PlotMCMC.m
PlotMCMC.m
 
 
README.md
README.md
 
 
boom.m
boom.m
 
 
bound_posterior.m
bound_posterior.m
 
 
build_curve.m
build_curve.m
 
 
build_many_jobs.m
build_many_jobs.m
 
 
build_spatial_posteriors.m
build_spatial_posteriors.m
 
 
build_spatial_posteriors_bivariate.m
build_spatial_posteriors_bivariate.m
 
 
build_trace_param_files.m
build_trace_param_files.m
 
 
compute_roc.m
compute_roc.m
 
 
compute_roc_deconv.m
compute_roc_deconv.m
 
 
conv_scratch.m
conv_scratch.m
 
 
cosyne_abstract_gen_data.m
cosyne_abstract_gen_data.m
 
 
crp_estimate.m
crp_estimate.m
 
 
data_for_ar_figure.m
data_for_ar_figure.m
 
 
data_for_ar_figure_real_base.m
data_for_ar_figure_real_base.m
 
 
detect_pscs.m
detect_pscs.m
 
 
detect_pscs_local.m
detect_pscs_local.m
 
 
detect_pscs_serial.m
detect_pscs_serial.m
 
 
detection_viewer.fig
detection_viewer.fig
 
 
detection_viewer.m
detection_viewer.m
 
 
direct_stim_fig.m
direct_stim_fig.m
 
 
gen_trace.m
gen_trace.m
 
 
gen_trace_from_mpp.m
gen_trace_from_mpp.m
 
 
gen_trace_noise.m
gen_trace_noise.m
 
 
generate_param_files.m
generate_param_files.m
 
 
get_denoised_grid.m
get_denoised_grid.m
 
 
get_direct_stim_grid.m
get_direct_stim_grid.m
 
 
get_direct_stim_taus_posteriors.m
get_direct_stim_taus_posteriors.m
 
 
get_ests_from_fixed_times.m
get_ests_from_fixed_times.m
 
 
get_event_amps.m
get_event_amps.m
 
 
get_event_times_init.m
get_event_times_init.m
 
 
get_events_from_samples.m
get_events_from_samples.m
 
 
get_filtered_traces.m
get_filtered_traces.m
 
 
get_map_sample.m
get_map_sample.m
 
 
get_map_trace.m
get_map_trace.m
 
 
get_mean_N_grid.m
get_mean_N_grid.m
 
 
get_mean_events_image.m
get_mean_events_image.m
 
 
get_mean_first_event_times_image.m
get_mean_first_event_times_image.m
 
 
get_params.m
get_params.m
 
 
get_plot_params.m
get_plot_params.m
 
 
get_posteriors.m
get_posteriors.m
 
 
get_times_posterior.m
get_times_posterior.m
 
 
glm_from_map_est.m
glm_from_map_est.m
 
 
glm_xcorr_all_pairs.m
glm_xcorr_all_pairs.m
 
 
grid_to_stack.m
grid_to_stack.m
 
 
infer_events.m
infer_events.m
 
 
infer_events_caller.m
infer_events_caller.m
 
 
infer_events_caller2.m
infer_events_caller2.m
 
 
josh_code.m
josh_code.m
 
 
kmeans_estimate.m
kmeans_estimate.m
 
 
plot_amp_times_posterior.m
plot_amp_times_posterior.m
 
 
plot_amp_times_posterior_w_map.m
plot_amp_times_posterior_w_map.m
 
 
plot_amp_times_posterior_w_map_DIRECT_STIM_FIG.m
plot_amp_times_posterior_w_map_DIRECT_STIM_FIG.m
 
 
plot_curve.m
plot_curve.m
 
 
plot_curves.m
plot_curves.m
 
 
plot_detection_results.m
plot_detection_results.m
 
 
plot_event_features.m
plot_event_features.m
 
 
plot_event_features_grid.m
plot_event_features_grid.m
 
 
plot_map_estimates.m
plot_map_estimates.m
 
 
plot_map_estimates_sim.m
plot_map_estimates_sim.m
 
 
plot_map_estimates_w_direct_stim.m
plot_map_estimates_w_direct_stim.m
 
 
plot_map_events.m
plot_map_events.m
 
 
plot_obj.m
plot_obj.m
 
 
plot_posterior_scatter_stack.m
plot_posterior_scatter_stack.m
 
 
plot_scatter_stack.m
plot_scatter_stack.m
 
 
plot_score_detection.m
plot_score_detection.m
 
 
plot_score_detection_deconv.m
plot_score_detection_deconv.m
 
 
plot_spatial_events.m
plot_spatial_events.m
 
 
plot_spatial_posteriors.m
plot_spatial_posteriors.m
 
 
plot_times_posterior.m
plot_times_posterior.m
 
 
plot_times_posterior_w_direct_stim.m
plot_times_posterior_w_direct_stim.m
 
 
plot_trace_stack.m
plot_trace_stack.m
 
 
plot_traces_and_samples.m
plot_traces_and_samples.m
 
 
rebuild_detection_grid.m
rebuild_detection_grid.m
 
 
rebuild_detection_grid_multi.m
rebuild_detection_grid_multi.m
 
 
run_map_inference_multispot_grid.m
run_map_inference_multispot_grid.m
 
 
save_map.m
save_map.m
 
 
score_detection.m
score_detection.m
 
 
score_detection_deconv.m
score_detection_deconv.m
 
 
score_detection_trace.m
score_detection_trace.m
 
 
scratch.m
scratch.m
 
 
scratch2.m
scratch2.m
 
 
scratch3.m
scratch3.m
 
 
simulate_data.m
simulate_data.m
 
 
simulate_data_doublets.m
simulate_data_doublets.m
 
 
simulate_data_model_cosyne_abs.m
simulate_data_model_cosyne_abs.m
 
 
simulate_data_model_fig0.m
simulate_data_model_fig0.m
 
 
stack_to_grid.m
stack_to_grid.m
 
 
subplot1.m
subplot1.m
 
 
tau_test.m
tau_test.m
 
 
time_err_hist.m
time_err_hist.m
 
 
times_err_hist_deconv.m
times_err_hist_deconv.m
 
 
truncate_samples.m
truncate_samples.m
 
 
truncate_samples_grid.m
truncate_samples_grid.m
 
 

Repository files navigation

psc-detection

A Bayesian/probabilistic approach to modelling postsynaptic currents in whole-cell voltage-clamp traces. PSCs can then be detected from noisy data using Gibbs Sampling.

About

A Bayesian/probabilistic approach to modelling postsynaptic currents in whole-cell voltage-clamp traces. PSCs can then be detected from noisy data using Gibbs Sampling.

Resources

Readme
Activity

Stars

0 stars

Watchers

6 watching

Forks

1 fork
Report repository

Releases

No releases published

Packages

No packages published

Contributors 3

  •  
  •  
  •  

Languages