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Gaia Tavoni
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Year
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
1072013
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
312017
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
242017
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
142016
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
122022
What is optimal in optimal inference?
G Tavoni, V Balasubramanian, JI Gold
Current Opinion in Behavioral Sciences 29, 117-126, 2019
112019
The complexity of model-free and model-based learning strategies
ALS Filipowicz, J Levine, E Piasini, G Tavoni, JW Kable, JI Gold
BioRxiv, 2020
102020
Connectivity and dynamics in the olfactory bulb
DEC Kersen, G Tavoni, V Balasubramanian
PLoS computational biology 18 (2), e1009856, 2022
82022
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
72015
The complexity dividend: when sophisticated inference matters
G Tavoni, T Doi, C Pizzica, V Balasubramanian, JI Gold
BioRxiv, 563346, 2019
62019
Inferred model of the prefrontal cortex activity unveils cell assemblies and memory replay. bioRxiv
G Tavoni, U Ferrari, FP Battaglia, S Cocco, R Monasson
42015
Cortical feedback and gating in odor discrimination and generalization
G Tavoni, DEC Kersen, V Balasubramanian
PLoS computational biology 17 (10), e1009479, 2021
32021
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
22020
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
12018
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
12015
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
12013
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
Cell assemblies in neuronal recordings: identification and study through the inference of functional network models and statistical physics techniques
G Tavoni
Ecole normale supérieure-ENS PARIS, 2015
2015
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Articles 1–20