Cookies
We use essential cookies to run the site. Analytics cookies are optional and help us improve World Wide. Learn more.
Dr
Eötvös Loránd University
Showing your local timezone
Schedule
Thursday, October 13, 2022
6:30 PM Europe/Budapest
Domain
PsychologyHost
ELTE Cognitive Seminar
Duration
70 minutes
In this lecture, I would like to share with the broad audience the empirical results gathered and the theoretical advancements made in the framework of the Lendület project entitled ’The cognitive basis of human sociality’. The main objective of this project was to understand the mechanisms that enable the unique sociality of humans, from the angle of cognitive science. In my talk, I will focus on recent empirical evidence in the study of three fundamental social cognitive functions (social categorization, theory of mind and social learning; mainly from the empirical lenses of developmental psychology) in order to outline a theory that emphasizes the need to consider their interconnectedness. The proposal is that the ability to represent the social world along categories and the capacity to read others’ minds are used in an integrated way to efficiently assess the epistemic states of fellow humans by creating a shared representational space. The emergence of this shared representational space is both the result of and a prerequisite to efficient learning about the physical and social environment.
Ildikó Király
Dr
Eötvös Loránd University
Contact & Resources
open source
Advancements in imaging speed, depth and resolution have made structured illumination microscopy (SIM) an increasingly powerful optical sectioning (OS) and super-resolution (SR) technique, but these d
neuro
Nervous system function relies on the polarized architecture of neurons, established by directional transport of pre- and postsynaptic cargoes. While delivery of postsynaptic components depends on the
neuro
A combinatorial neural code for long-term motor memory
The postdoctoral researcher will work on an interdisciplinary project at the intersection of deep learning and comparative politics. The candidate will work in the Human-Centered Machine Learning (HuM
The CSNG Lab at the Faculty of Mathematics and Physics at the Charles University is seeking a highly motivated Postdoctoral Researcher to join our team to work on a digital twin model of the visual sy
We have an open position for a postdoctoral researcher with experience in brain-computer interfacing and artificial intelligence to further advance our new class of Brain-Artificial Intelligence (BAI)
PROJECT SUMMARY / ABSTRACT Cluster headache (CH), which affects about 1 in 1,000 people, is a severe and debilitating primary headache disorder characterized by repeated attacks occurring in clusters