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Gloria Cecchini

Showing results (1-10 of 12) with videos related to

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Physical Review. E|September 27, 2018
Analytical approach to network inference: Investigating degree distributionGloria Cecchini, Björn Schelter
Journal of Computational Neuroscience|March 16, 2026
Locally balanced inhibition allows for robust learning of input-output associations in feedforward networks with Hebbian plasticityGloria Cecchini, Alex Roxin
Physical Review. E|March 19, 2021
Impact of local network characteristics on network reconstructionGloria Cecchini, Rok Cestnik, Arkady Pikovsky
Scientific Reports|July 30, 2025
Representational drift as the consequence of ongoing memory storageFederico Devalle, Licheng Zou, Gloria Cecchini, et al.
Journal of Neuroscience Methods|July 1, 2018
Improving network inference: The impact of false positive and false negative conclusions about the presence or absence of linksGloria Cecchini, Marco Thiel, Björn Schelter, et al.
Archives of Biochemistry and Biophysics|April 2, 2003
3-hydroxykynurenine as a substrate/activator for mushroom tyrosinaseEnrico Sanjust, Gloria Cecchini, Francesca Sollai, et al.
Plos One|October 2, 2023
A topological classifier to characterize brain states: When shape matters more than varianceAina Ferrà, Gloria Cecchini, Fritz-Pere Nobbe Fisas, et al.
Journal of Neuroscience Methods|September 8, 2022
Latency correction in sparse neuronal spike trainsThomas Kreuz, Federico Senocrate, Gloria Cecchini, et al.
Plos One|March 3, 2026
A biologically plausible decision-making model based on interacting neural populationsEmre Baspinar, Gloria Cecchini, Michael DePass, et al.
Frontiers in Behavioral Neuroscience|August 27, 2024
Cognitive mechanisms of learning in sequential decision-making under uncertainty: an experimental and theoretical approachGloria Cecchini, Michael DePass, Emre Baspinar, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Physical Review. E|September 27, 2018
Analytical approach to network inference: Investigating degree distributionGloria Cecchini, Björn Schelter
Journal of Computational Neuroscience|March 16, 2026
Locally balanced inhibition allows for robust learning of input-output associations in feedforward networks with Hebbian plasticityGloria Cecchini, Alex Roxin
Physical Review. E|March 19, 2021
Impact of local network characteristics on network reconstructionGloria Cecchini, Rok Cestnik, Arkady Pikovsky
Scientific Reports|July 30, 2025
Representational drift as the consequence of ongoing memory storageFederico Devalle, Licheng Zou, Gloria Cecchini, et al.
Journal of Neuroscience Methods|July 1, 2018
Improving network inference: The impact of false positive and false negative conclusions about the presence or absence of linksGloria Cecchini, Marco Thiel, Björn Schelter, et al.
Archives of Biochemistry and Biophysics|April 2, 2003
3-hydroxykynurenine as a substrate/activator for mushroom tyrosinaseEnrico Sanjust, Gloria Cecchini, Francesca Sollai, et al.
Plos One|October 2, 2023
A topological classifier to characterize brain states: When shape matters more than varianceAina Ferrà, Gloria Cecchini, Fritz-Pere Nobbe Fisas, et al.
Journal of Neuroscience Methods|September 8, 2022
Latency correction in sparse neuronal spike trainsThomas Kreuz, Federico Senocrate, Gloria Cecchini, et al.
Plos One|March 3, 2026
A biologically plausible decision-making model based on interacting neural populationsEmre Baspinar, Gloria Cecchini, Michael DePass, et al.
Frontiers in Behavioral Neuroscience|August 27, 2024
Cognitive mechanisms of learning in sequential decision-making under uncertainty: an experimental and theoretical approachGloria Cecchini, Michael DePass, Emre Baspinar, et al.
Pageof 2