Irina Pochinok
@irinapochinok.bsky.social
doing stuff, HanganuOpatzLab
5/7
We didn’t set out to show this, but... 🫢ITs estimated from epoched spike data are dramatically less reliable, with up to 10x more estimation error than continuous data. Regardless of the method, this instability is real. iSTTC helps, but long and uninterrupted recordings still matter a lot.
We didn’t set out to show this, but... 🫢ITs estimated from epoched spike data are dramatically less reliable, with up to 10x more estimation error than continuous data. Regardless of the method, this instability is real. iSTTC helps, but long and uninterrupted recordings still matter a lot.
August 5, 2025 at 8:32 AM
5/7
We didn’t set out to show this, but... 🫢ITs estimated from epoched spike data are dramatically less reliable, with up to 10x more estimation error than continuous data. Regardless of the method, this instability is real. iSTTC helps, but long and uninterrupted recordings still matter a lot.
We didn’t set out to show this, but... 🫢ITs estimated from epoched spike data are dramatically less reliable, with up to 10x more estimation error than continuous data. Regardless of the method, this instability is real. iSTTC helps, but long and uninterrupted recordings still matter a lot.
4/7
It also beats PearsonR on epoched data by a wide margin. iSTTC yields ~17% lower estimation error and ~10% fewer failed fits: more accurate and representative IT estimates!
It also beats PearsonR on epoched data by a wide margin. iSTTC yields ~17% lower estimation error and ~10% fewer failed fits: more accurate and representative IT estimates!
August 5, 2025 at 8:31 AM
4/7
It also beats PearsonR on epoched data by a wide margin. iSTTC yields ~17% lower estimation error and ~10% fewer failed fits: more accurate and representative IT estimates!
It also beats PearsonR on epoched data by a wide margin. iSTTC yields ~17% lower estimation error and ~10% fewer failed fits: more accurate and representative IT estimates!
3/7
iSTTC outperforms classic autocorrelation (ACF) on synthetic continuous data, especially under low firing rates and high burstiness.
iSTTC outperforms classic autocorrelation (ACF) on synthetic continuous data, especially under low firing rates and high burstiness.
August 5, 2025 at 8:29 AM
3/7
iSTTC outperforms classic autocorrelation (ACF) on synthetic continuous data, especially under low firing rates and high burstiness.
iSTTC outperforms classic autocorrelation (ACF) on synthetic continuous data, especially under low firing rates and high burstiness.