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Nature Communications
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January 22, 2025
Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning
Spyridon Chavlis, Panayiota Poirazi
Advances in Experimental Medicine and Biology
|
April 26, 2022
Modeling Dendrites and Spatially-Distributed Neuronal Membrane Properties
Spyridon Chavlis, Panayiota Poirazi
Synapse (New York, N.Y.)
|
March 20, 2017
Pattern separation in the hippocampus through the eyes of computational modeling
Spyridon Chavlis, Panayiota Poirazi
Arxiv
|
September 24, 2024
Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning
Spyridon Chavlis, Panayiota Poirazi
Current Opinion in Neurobiology
|
June 4, 2021
Drawing inspiration from biological dendrites to empower artificial neural networks
Spyridon Chavlis, Panayiota Poirazi
Annual Review of Neuroscience
|
March 2, 2026
A Dendro-Centric View of Cognition in the Behaving Brain
Spyridon Chavlis, Panayiota Poirazi
Proteins
|
July 19, 2021
Evolutionary models of amino acid substitutions based on the tertiary structure of their neighborhoods
Elias Primetis, Spyridon Chavlis, Pavlos Pavlidis
Nature Communications
|
January 10, 2023
Introducing the Dendrify framework for incorporating dendrites to spiking neural networks
Michalis Pagkalos, Spyridon Chavlis, Panayiota Poirazi
Biorxiv : the Preprint Server for Biology
|
June 9, 2023
Synaptic turnover promotes efficient learning in bio-realistic spiking neural networks
Nikos Malakasis, Spyridon Chavlis, Panayiota Poirazi
Biorxiv : the Preprint Server for Biology
|
September 24, 2024
<i>DendroTweaks</i>: An interactive approach for unraveling dendritic dynamics
Roman Makarov, Spyridon Chavlis, Panayiota Poirazi
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Search research articles
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Showing results (1-10 of 18) with videos related to
Sort By:
Page
of 2
Nature Communications
|
January 22, 2025
Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning
Spyridon Chavlis, Panayiota Poirazi
Advances in Experimental Medicine and Biology
|
April 26, 2022
Modeling Dendrites and Spatially-Distributed Neuronal Membrane Properties
Spyridon Chavlis, Panayiota Poirazi
Synapse (New York, N.Y.)
|
March 20, 2017
Pattern separation in the hippocampus through the eyes of computational modeling
Spyridon Chavlis, Panayiota Poirazi
Arxiv
|
September 24, 2024
Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning
Spyridon Chavlis, Panayiota Poirazi
Current Opinion in Neurobiology
|
June 4, 2021
Drawing inspiration from biological dendrites to empower artificial neural networks
Spyridon Chavlis, Panayiota Poirazi
Annual Review of Neuroscience
|
March 2, 2026
A Dendro-Centric View of Cognition in the Behaving Brain
Spyridon Chavlis, Panayiota Poirazi
Proteins
|
July 19, 2021
Evolutionary models of amino acid substitutions based on the tertiary structure of their neighborhoods
Elias Primetis, Spyridon Chavlis, Pavlos Pavlidis
Nature Communications
|
January 10, 2023
Introducing the Dendrify framework for incorporating dendrites to spiking neural networks
Michalis Pagkalos, Spyridon Chavlis, Panayiota Poirazi
Biorxiv : the Preprint Server for Biology
|
June 9, 2023
Synaptic turnover promotes efficient learning in bio-realistic spiking neural networks
Nikos Malakasis, Spyridon Chavlis, Panayiota Poirazi
Biorxiv : the Preprint Server for Biology
|
September 24, 2024
<i>DendroTweaks</i>: An interactive approach for unraveling dendritic dynamics
Roman Makarov, Spyridon Chavlis, Panayiota Poirazi
Page
of 2