Michalis Pagkalos

Also affiliated with Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology Hellas

EngineeringNeuroscienceComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 5 papers. Top paper: “Introducing the Dendrify framework for incorporating dendrites to spiking neural networks”.

Introducing the Dendrify framework for incorporating dendrites to spiking neural networks

Nature Communications(2023)10.1038/s41467-022-35747-8

N/A

0DataRank · unranked

59 citations

Spyridon Chavlis, Panayiota Poirazi, Michalis Pagkalos

Dendrites and efficiency: Optimizing performance and resource utilization

Current Opinion in Neurobiology(2023)10.1016/j.conb.2023.102812

N/A

0DataRank · unranked

20 citations

Michalis Pagkalos, Panayiota Poirazi, Roman Makarov

Dendrites and Efficiency: Optimizing Performance and Resource Utilization

arXiv (Cornell University)(2023)10.48550/arxiv.2306.07101

N/A

0DataRank · unranked

0 citations

Michalis Pagkalos, Panayiota Poirazi, Roman Makarov

Leveraging dendritic properties to advance machine learning and neuro-inspired computing

arXiv (Cornell University)(2023)10.48550/arxiv.2306.08007

N/A

0DataRank · unranked

0 citations

Roman Makarov, Panayiota Poirazi, Michalis Pagkalos

Leveraging dendritic properties to advance machine learning and neuro-inspired computing

Current Opinion in Neurobiology(2024)10.1016/j.conb.2024.102853

N/A

0DataRank · unranked

37 citations

Roman Makarov, Panayiota Poirazi, Michalis Pagkalos