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Ilan Laufer

Showing results (11-20 of 33) with videos related to

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Frontiers in Human Neuroscience|September 22, 2025
Predicting attachment style from EEG data on the Flanker taskDor Mizrahi, Inon Zuckerman, Ilan Laufer
Sensors (Basel, Switzerland)|December 10, 2021
Level-K Classification from EEG Signals Using Transfer LearningDor Mizrahi, Inon Zuckerman, Ilan Laufer
Sensors (Basel, Switzerland)|September 9, 2022
Electrophysiological Features to Aid in the Construction of Predictive Models of Human-Agent Collaboration in Smart EnvironmentsDor Mizrahi, Inon Zuckerman, Ilan Laufer
Frontiers in Human Neuroscience|September 20, 2023
Attachment style, emotional feedback, and neural processing: investigating the influence of attachment on the P200 and P400 components of event-related potentialsInon Zuckerman, Ilan Laufer, Dor Mizrahi
Frontiers in Psychology|February 6, 2024
Enhancing EEG-based attachment style prediction: unveiling the impact of feature domainsIlan Laufer, Dor Mizrahi, Inon Zuckerman
Frontiers in Human Neuroscience|April 22, 2024
Corrigendum: Attachment style, emotional feedback, and neural processing: investigating the influence of attachment on the P200 and P400 components of event-related potentialsInon Zuckerman, Ilan Laufer, Dor Mizrahi
Plos One|September 2, 2025
Improving attachment style clustering with ROCKET and CatBoost: Insights from EEG analysisDor Mizrahi, Ilan Laufer, Inon Zuckerman
Behavioral Sciences (Basel, Switzerland)|April 26, 2025
Attachment Style, Task Difficulty, and Feedback Type: Effects on Cognitive LoadDor Mizrahi, Ilan Laufer, Inon Zuckerman
Sensors (Basel, Switzerland)|December 11, 2020
Using a Stochastic Agent Model to Optimize Performance in Divergent Interest Tacit Coordination GamesDor Mizrahi, Inon Zuckerman, Ilan Laufer
Sensors (Basel, Switzerland)|July 13, 2024
Real-World Spatial Synchronization of Event-CMOS Cameras through Deep Learning: A Novel CNN-DGCNN ApproachDor Mizrahi, Ilan Laufer, Inon Zuckerman
Pageof 4

Showing results (11-20 of 33) with videos related to

Sort By:
Pageof 4
Frontiers in Human Neuroscience|September 22, 2025
Predicting attachment style from EEG data on the Flanker taskDor Mizrahi, Inon Zuckerman, Ilan Laufer
Sensors (Basel, Switzerland)|December 10, 2021
Level-K Classification from EEG Signals Using Transfer LearningDor Mizrahi, Inon Zuckerman, Ilan Laufer
Sensors (Basel, Switzerland)|September 9, 2022
Electrophysiological Features to Aid in the Construction of Predictive Models of Human-Agent Collaboration in Smart EnvironmentsDor Mizrahi, Inon Zuckerman, Ilan Laufer
Frontiers in Human Neuroscience|September 20, 2023
Attachment style, emotional feedback, and neural processing: investigating the influence of attachment on the P200 and P400 components of event-related potentialsInon Zuckerman, Ilan Laufer, Dor Mizrahi
Frontiers in Psychology|February 6, 2024
Enhancing EEG-based attachment style prediction: unveiling the impact of feature domainsIlan Laufer, Dor Mizrahi, Inon Zuckerman
Frontiers in Human Neuroscience|April 22, 2024
Corrigendum: Attachment style, emotional feedback, and neural processing: investigating the influence of attachment on the P200 and P400 components of event-related potentialsInon Zuckerman, Ilan Laufer, Dor Mizrahi
Plos One|September 2, 2025
Improving attachment style clustering with ROCKET and CatBoost: Insights from EEG analysisDor Mizrahi, Ilan Laufer, Inon Zuckerman
Behavioral Sciences (Basel, Switzerland)|April 26, 2025
Attachment Style, Task Difficulty, and Feedback Type: Effects on Cognitive LoadDor Mizrahi, Ilan Laufer, Inon Zuckerman
Sensors (Basel, Switzerland)|December 11, 2020
Using a Stochastic Agent Model to Optimize Performance in Divergent Interest Tacit Coordination GamesDor Mizrahi, Inon Zuckerman, Ilan Laufer
Sensors (Basel, Switzerland)|July 13, 2024
Real-World Spatial Synchronization of Event-CMOS Cameras through Deep Learning: A Novel CNN-DGCNN ApproachDor Mizrahi, Ilan Laufer, Inon Zuckerman
Pageof 4