Lab account for science only.
https://www.caian.uni-bonn.de/en
👉Visit our website for more information: www.caian.uni-bonn.de/en
👉Visit our website for more information: www.caian.uni-bonn.de/en
👉Visit our website for more information: www.caian.uni-bonn.de/en
Follow the link below to meet the first confirmed speakers. More to come!
👉 bernstein-network.de/bernstein-co...
#BernsteinNetwork #CompNeuro
Follow the link below to meet the first confirmed speakers. More to come!
👉 bernstein-network.de/bernstein-co...
#BernsteinNetwork #CompNeuro
[1/4] This Wednesday, October 29 at 1 p.m., we are launching a new, hybrid series of guest talks organized the Center of Artificial Intelligence and Neuroscience (CAIAN) in Bonn.
[1/4] This Wednesday, October 29 at 1 p.m., we are launching a new, hybrid series of guest talks organized the Center of Artificial Intelligence and Neuroscience (CAIAN) in Bonn.
A consortium of 21 learning experts surveyed the literature and expert community for robust empirical phenomena, which we graded by reproducibility and generality.
A consortium of 21 learning experts surveyed the literature and expert community for robust empirical phenomena, which we graded by reproducibility and generality.
#mathematicalpsychology #calibration #simulation
www.sciencedirect.com/science/arti...
#mathematicalpsychology #calibration #simulation
www.sciencedirect.com/science/arti...
Join us at UCL to conduct an MEG study of reward & memory, exploring how brain signals link to variability in apathy and anhedonia.
🔗 apply from next week: lmdlab.github.io
🚨closes September 12th!
Join us at UCL to conduct an MEG study of reward & memory, exploring how brain signals link to variability in apathy and anhedonia.
🔗 apply from next week: lmdlab.github.io
🚨closes September 12th!
We propose an unsupervised skeleton-based temporal action segmentation framework. If you are interested in exploring actions in skeleton sequences without human annotations, check it out:
Paper: www.arxiv.org/abs/2508.04513
Project page: uzaygokay.github.io/SMQ/
We propose an unsupervised skeleton-based temporal action segmentation framework. If you are interested in exploring actions in skeleton sequences without human annotations, check it out:
Paper: www.arxiv.org/abs/2508.04513
Project page: uzaygokay.github.io/SMQ/
www.caian.uni-bonn.de/en/news
www.caian.uni-bonn.de/en/news
🔎 Find out more about requirements and deadlines here: www.caian.uni-bonn.de/en/team/jobs
🔎 Find out more about requirements and deadlines here: www.caian.uni-bonn.de/en/team/jobs
Apply by June 15.
More information: www.caian.uni-bonn.de/en/team/oppo...
#vrthreat #PhDposition #jobalert #researchjob #neuroscience #psychology
Apply by June 15.
More information: www.caian.uni-bonn.de/en/team/oppo...
#vrthreat #PhDposition #jobalert #researchjob #neuroscience #psychology
Apply by June 15.
More information: www.caian.uni-bonn.de/en/team/oppo...
#vrthreat #PhDposition #jobalert #researchjob #neuroscience #psychology
Read the answer in our 🔥new article here👇
(of course #openaccess).
www.sciencedirect.com/science/arti...
Read the answer in our 🔥new article here👇
(of course #openaccess).
www.sciencedirect.com/science/arti...
#humanavoidancelearning
#humanavoidancelearning
www.sciencedirect.com/science/arti...
www.sciencedirect.com/science/arti...