| A mixture of delta-rules approximation to bayesian inference in change-point problems RC Wilson, MR Nassar, JI Gold PLoS computational biology 9 (7), e1003150, 2013 | 121 | 2013 |
| Functional coupling networks inferred from prefrontal cortex activity show experience-related effective plasticity G Tavoni, U Ferrari, FP Battaglia, S Cocco, R Monasson Network Neuroscience 1 (3), 275-301, 2017 | 34 | 2017 |
| Functional networks from inverse modeling of neural population activity S Cocco, R Monasson, L Posani, G Tavoni Current Opinion in Systems Biology 3, 103-110, 2017 | 26 | 2017 |
| Human inference reflects a normative balance of complexity and accuracy G Tavoni, T Doi, C Pizzica, V Balasubramanian, JI Gold Nature human behaviour 6 (8), 1153-1168, 2022 | 20 | 2022 |
| Neural assemblies revealed by inferred connectivity-based models of prefrontal cortex recordings G Tavoni, S Cocco, R Monasson Journal of computational neuroscience 41, 269-293, 2016 | 17 | 2016 |
| What is optimal in optimal inference? G Tavoni, V Balasubramanian, JI Gold Current Opinion in Behavioral Sciences 29, 117-126, 2019 | 15 | 2019 |
| Connectivity and dynamics in the olfactory bulb DEC Kersen, G Tavoni, V Balasubramanian PLoS computational biology 18 (2), e1009856, 2022 | 13 | 2022 |
| The complexity of model-free and model-based learning strategies ALS Filipowicz, J Levine, E Piasini, G Tavoni, JW Kable, JI Gold BioRxiv, 2020 | 12 | 2020 |
| Inferred model of the prefrontal cortex activity unveils cell assemblies and memory replay G Tavoni, U Ferrari, FP Battaglia, S Cocco, R Monasson bioRxiv, 028316, 2015 | 7 | 2015 |
| The complexity dividend: when sophisticated inference matters G Tavoni, T Doi, C Pizzica, V Balasubramanian, JI Gold BioRxiv, 563346, 2019 | 6 | 2019 |
| Cortical feedback and gating in odor discrimination and generalization G Tavoni, DEC Kersen, V Balasubramanian PLoS computational biology 17 (10), e1009479, 2021 | 5 | 2021 |
| Inferred model of the prefrontal cortex activity unveils cell assemblies and memory replay. bioRxiv G Tavoni, U Ferrari, FP Battaglia, S Cocco, R Monasson | 4 | 2015 |
| The comparable strategic flexibility of model-free and model-based learning ALS Filipowicz, J Levine, E Piasini, G Tavoni, JW Kable, JI Gold bioRxiv, 2019.12. 28.879965, 2020 | 2 | 2020 |
| On the Complexity of Prediction Strategies in Noisy and Changing Environments G Tavoni, J Gold, V Balasubramanian APS March Meeting Abstracts 2018, K06. 003, 2018 | 1 | 2018 |
| Functional coupling networks inferred from prefrontal cortex activity show learning-related effective plasticity G Tavoni, U Ferrari, FP Battaglia, S Cocco, R Monasson bioRxiv, 2015 | 1 | 2015 |
| Inferred Ising model unveils potentiation of pairwise neural interactions and replay of rule-learning related neural activity U Ferrari, G Tavoni, FP Battaglia, S Cocco, R Monasson BMC Neuroscience 14, 1-2, 2013 | 1 | 2013 |
| Maximizing memory capacity in heterogeneous networks K Zhang, G Tavoni bioRxiv, 2024.09. 25.615056, 2024 | | 2024 |
| On the context-dependent efficient coding of olfactory spaces G Tavoni, S Ching, B Raman APS March Meeting Abstracts 2023, D11. 004, 2023 | | 2023 |
| Cortical feedback and gating in olfactory pattern completion and separation G Tavoni, DEC Kersen, V Balasubramanian bioRxiv, 2020.11. 05.370494, 2020 | | 2020 |
| A model of olfactory associative learning G Tavoni, V Balasubramanian APS March Meeting Abstracts 2017, H4. 011, 2017 | | 2017 |
Remi MonassonCNRS & Ecole Normale SupérieureVerified email at lpt.ens.fr