An open resource for non-human primate optogenetics S Tremblay, L Acker, A Afraz, DL Albaugh, H Amita, AR Andrei, ... Neuron 108 (6), 1075-1090. e6, 2020 | 110 | 2020 |
Feedforward and feedback interactions between visual cortical areas use different population activity patterns JD Semedo, AI Jasper, A Zandvakili, A Krishna, A Aschner, CK Machens, ... Nature communications 13 (1), 1099, 2022 | 96 | 2022 |
Neuronal variability reflects probabilistic inference tuned to natural image statistics D Festa, A Aschner, A Davila, A Kohn, R Coen-Cagli Nature communications 12 (1), 3635, 2021 | 65 | 2021 |
Temporal contingencies determine whether adaptation strengthens or weakens normalization A Aschner, SG Solomon, MS Landy, DJ Heeger, A Kohn Journal of Neuroscience 38 (47), 10129-10142, 2018 | 25 | 2018 |
Strong information-limiting correlations in early visual areas JS Montijn, RG Liu, A Aschner, A Kohn, PE Latham, A Pouget bioRxiv, 842724, 2019 | 12 | 2019 |
Modelling the neural code in large populations of correlated neurons S Sokoloski, A Aschner, R Coen-Cagli Elife 10, e64615, 2021 | 10 | 2021 |
A Functional Model of Neuronal Response Variability in Primary Visual Cortex D Festa, A Aschner, A Kohn, R Coen-Cagli Cognitive Computational Neuroscience, 2019 | 2 | 2019 |
Linking Sensory Adaptation to Divisive Normalization and Efficient Coding Principles A Aschner Albert Einstein College of Medicine, 2020 | | 2020 |
Modelling the neural code in large S Sokoloski, A Aschner, R Coen-Cagli | | |
Neuronal Variability Reflects Probabilistic Inference D Festa, A Aschner, A Davila, A Kohn, R Coen-Cagli | | |