Condition-dependent noise correlations without condition-dependent spike counts Doyeon Kim, Matthew F Panichello, and Tirin Moore bioRxiv, 2026 HTML PDF Live spike sorting of large-scale neural recordings Shreyas Muralidharan, Calvin Leng, Lucas Orts, Ethan Trepka, Shude Zhu, Matthew F Panichello, Donatas Jonikaitis, Frank Lanfranchi, Jacob Pennington, Marius Pachitariu, and Tirin Moore bioRxiv, 2026 HTML PDF Intermittent rate coding and cue-specific ensembles support working memory Matthew F Panichello, Donatas Jonikaitis, Jin Oh, Shude Zhu, Ethan B Trepka, and Tirin Moore Nature, 2024 HTML PDF The neural basis of swap errors in working memory Matteo Alleman, Matthew F Panichello, Timothy J Buschman, and W Jeffery Johnston PNAS, 2024 HTML PDF Corvids optimize working memory by categorizing continuous stimuli Aylin Apostel, Matthew F Panichello, Timothy J Buschman, and Jonas Rose Communications Biology, 2023 HTML PDF Shared mechanisms underlie the control of working memory and attention Matthew F Panichello, and Timothy J Buschman Nature, 2021 HTML PDF Behavioral and neural fusion of expectation with sensation Matthew F Panichello, and Nicholas B Turk-Browne Journal of Cognitive Neuroscience, 2021 HTML PDF Delay-period activity in frontal, parietal, and occipital cortex tracks noise and biases in visual working memory Qing Yu, Matthew F Panichello, Ying Cai, Bradley R Postle, and Timothy J Buschman PLoS Biology, 2020 HTML PDF Cognitive transforms in perception and memory Matthew F Panichello PhD Thesis, 2020 HTML PDF Error-correcting dynamics in visual working memory Matthew F Panichello, Brian DePasquale, Jonathan W Pillow, and Timothy J Buschman Nature Communications, 2019 HTML PDF Internal valence modulates the speed of object recognition Matthew F Panichello, Kestutis Kveraga, Maximilien Chaumon, Moshe Bar, and Lisa Feldman Barrett Scientific Reports, 2017 HTML PDF Predictive feedback and conscious visual experience Matthew F Panichello, Olivia S Cheung, and Moshe Bar Frontiers in Psychology, 2013 HTML PDF