Spyridon Chavlis

发表

The dendritic spatial code: branch-specific place tuning and its experience-dependent decoupling

Jason J. Moore, C. Clopath, P. Poirazi, 2020, bioRxiv.

Large-Scale 3D Two-Photon Imaging of Molecularly Identified CA1 Interneuron Dynamics in Behaving Mice

A. Losonczy, P. Poirazi, P. Tsakalides, 2020, Neuron.

Breakdown of spatial coding and neural synchronization in epilepsy

Peyman Golshani, Panayiota Poirazi, Baljit S. Khakh, 2018, bioRxiv.

Dendrites of DG granule cells contribute to pattern separation by controlling sparsity

P. Poirazi, P. Petrantonakis, Spyridon Chavlis, 2016 .

Dendrify: a new framework for seamless incorporation of dendrites in 1 Spiking Neural Networks

P. Poirazi, Spyridon Chavlis, Michalis Pagkalos, 2022 .

Introducing the Dendrify framework for incorporating dendrites to spiking neural networks

Spyridon Chavlis, Michalis Pagkalos, Panayiota Poirazi, 2022, bioRxiv.

Vasoactive Intestinal Polypeptide-Expressing Interneurons in the Hippocampus Support Goal-Oriented Spatial Learning

Justin K. O’Hare, A. Grosmark, A. Losonczy, 2019, Neuron.

Dendrites of dentate gyrus granule cells contribute to pattern separation by controlling sparsity

Panayiota Poirazi, Panagiotis C. Petrantonakis, Spyridon Chavlis, 2016, Hippocampus.

In Vivo Imaging of Dentate Gyrus Mossy Cells in Behaving Mice

Attila Losonczy, Panayiota Poirazi, Max Ladow, 2017, Neuron.

Artificial Neural Networks in Action for an Automated Cell-Type Classification of Biological Neural Networks

Panagiotis Tsakalides, Attila Losonczy, Grigorios Tsagkatakis, 2019, IEEE Transactions on Emerging Topics in Computational Intelligence.

Lateral entorhinal cortex inputs modulate hippocampal dendritic excitability by recruiting a local disinhibitory microcircuit

Jayeeta Basu, Spyridon Chavlis, Olesia M. Bilash, 2022, bioRxiv.

Breakdown of spatial coding and interneuron synchronization in epileptic mice

Peyman Golshani, Panayiota Poirazi, Baljit S. Khakh, 2020, Nature Neuroscience.

An Architecture for the Acceleration of a Hybrid Leaky Integrate and Fire SNN on the Convey HC-2ex FPGA-Based Processor

Dionisios N. Pnevmatikatos, Ioannis Papaefstathiou, Apostolos Dollas, 2017, 2017 IEEE 25th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

Pattern separation in the hippocampus through the eyes of computational modeling

Panayiota Poirazi, Spyridon Chavlis, Spyridon Chavlis, 2017, Synapse.

Drawing inspiration from biological dendrites to empower artificial neural networks

Spyridon Chavlis, Panayiota Poirazi, 2021, Current Opinion in Neurobiology.

Evolutionary Models of Amino Acid Substitutions Based on the Tertiary Structure of their Neighborhoods

P. Pavlidis, Spyridon Chavlis, E. Primetis, 2018, bioRxiv.

Synaptic turnover promotes efficient learning in bio-realistic spiking neural networks

Spyridon Chavlis, Panayiota Poirazi, Nikos Malakasis, 2023, bioRxiv.

Dendritic Self-Organizing Maps for Continual Learning pdf

Panayiota Poirazi, Spyridon Chavlis, Kosmas Pinitas, 2021, ArXiv.

Lateral entorhinal cortex inputs modulate hippocampal dendritic excitability by recruiting a local disinhibitory microcircuit

Jayeeta Basu, Spyridon Chavlis, Olesia M. Bilash, 2023, Cell reports.

Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning

Spyridon Chavlis, Panayiota Poirazi, 2024, ArXiv.

Investigating the role of dendrites in pattern separation: A computational approach

P. Petrantonakis, Spyridon Chavlis, Panayiota Poirazi, 2015 .