Braintalks

The Braintalks is the seminar series of the BPCN, composed of invited lectures, research reports and a journal club. PhD students and MSc, BSc students writing their thesis at the unit are expected to take the course. For the WISE 2022-2023 semester will take place on Mondays at 14.00.

It will be in a hybrid form with zoom meetings and "in person" occasions.

For Zoom invitations contact Gyula Kovács please.

2022-2023 WISE

okt 17

INTRO
okt 24 JONATHAN ROBINSON MELBOURNE –EXTRA TIME: 25th 16.00. PRÄSENZ
okt 31 ————
nov7 Landi et al A fast link between face perception and memory in the temporal pole Science 2021 PRÄSENZ
nov14 Treder et al The hippocampus as the switchboard between perception and memory PNAS 2021 PRÄSENZ
nov21 LARS ROGENMOSER (FSU) A brief journey into hearing: An exploration of auditory topics with brain-related measures PRÄSENZ
nov28 HOLGER WISE (Durham) How do I know you? Electrophysiological correlates of face learning and recognition ZOOM
dec5 Adam Takacs (Dresden) Modality-specific and modality-independent neural representations work in concert during sequence learning PRÄSENZ
dec12 Lally et al Neural representations of naturalistic person identities while watching a feature film PRÄSENZ
dec19 ————
dec26 ————
jan2 ————
jan9 Fernandino et al Decoding the information structure underlying the neural representation of concepts 2022 PNAS PRÄSENZ
jan16 Daniela Sammler (Frankfurt) Music production in the broader context of cognition (prediction, movement, social interaction) ZOOM
jan23 Zanto, et al (2022). How musical rhythm training improves short-term memory for faces. PNAS PRÄSENZ
jan30 Singh, et al (2022). How Machine Learning is Powering Neuroimaging to Improve Brain Health. Neuroinformatics, 1-22. PRÄSENZ
feb6 ————
2022 SOSE
11.04 INTRO
Apr 26 2022
17:15
Juliane BräuerLecture hall of the Department of Psychiatry and Psychotherapy of the University Hospital Jena, Philosophenweg 3

Klüger als wir denken. Einführung in die Vergleichende Psychologie.

02.05 Michela Balconi hyperscanning applications for social neuroscience: the example of empathic behavior
09.05
16.05
23.05
30.05 Chenglin LI PhD rehearsal
06.06 —pfingster
13.06 Andreas Jansen Marburg Developmental changes within the extended face processing network: A cross-sectional functional magnetic resonance imaging study
20.06 Simen Hagen Spatio-temporal dynamics of shape-invariant real-world object size processing
27.06
04.07 Empra rehearsal
11.07 annekathrin schacht.  Determinants of relevance in faces processing: from vision to interaction
11.04
18.04
2021-22 WISE

okt20

INTRO
okt27
nov3
nov10
nov17 Mareike Grotheer Leveraging math and reading to elucidate the organization and plasticity of the human brain
nov24 Mareike Bayer Neural representations of personally relevant faces investigated with multimodal imaging
dec1 Chenglin Lo Visual short-term memory load modulates repetition related fMRI signal adaptation
dec8 Romina Palermo 12.00 Person Perception in Perth: Recent Research on Facial Expression Recognition and Facial First Impressions
dec15 Judit Gervain Learning repetition-based regularities in preverbal infants using NIRS
dec22
dec29
jan5
jan12 chenglin-kovacs: Expertise, predictions and repetition suppression: fMRI results
jan19 Maria Manahova Temporal dynamics of familiarity and expectation in the visual system
jan26 annekathrin schacht.  Determinants of relevance in faces processing: from vision to interaction
feb2 Jurgen Kaufmann News from the other-"race" effect
feb9 Helena Blank. Predictive processing in human communication

 

2021 SOSE

2021.04.15.

INTRO
2021.04.29. 16.00-18.00 Erez Freud  York University The contribution of the dorsal visual pathway to perception and action. It is a talk hosted by the AFC lab series (Meike Ramon).

https://www.world-wide.org/seminar/2327/

05.06. Judit Gervain (DPSS Università degli Studi di Padova, Italy)
05.19. 09:00 Chenglin Li (BPCN, FSU Jena): The effect of experience on the perceptual expectation.

 

05.27. Charlotta Eick (FSU Jena) PhD rehearsal
06.03. Maria Tsantani  (Univ London Dept Psychol Sci Birkbeck, UK) TBA
06.10 Meike Ramon  13:30 beggining! (Applied Face Cognition Lab Department of Psychology University of Fribourg Switzerland) Super-Recognizers: What we know, what we don’t know and what we need to know
06.17 16:00 Gyula Kovács  presents at Meike Ramons AFC lab series
06.24. Katharina Dobs (Dept. of Psychology Justus-Liebig-University Giessen, Giessen, Germany) A computational approach to understanding face perception in the human brain
07.01. Sophie-Marie Rostalski (FSU Jena) PhD rehearsal
07.08. EMPRA Rehearsal talks
2020 -2021 WISE INTRO
Nov-05 INTRO
Nov-12 charlotta-Blauch et al
Nov-19 Geza-Grossmann,Zador, Hassan
Nov-26 Chenglin-McGugin
Dec-03 Chenglin-Moret-Tatay
Dec-10 KGY-Rey
Dec-17 KGY-Ratan-Murty
Jan-07 KGY-Nestor
Jan-14 Sophie-Siman-Tov
Jan-21 Sophie-Rangarajan
Jan-28 Sophie-Walsh
Feb-04 Alexia-Contini

 

 

Brain talks: 2019-2020 WISE

Okt 16.

INTRO
Okt. 30. SFN report (GK, BPCN) - Rico Stecher MVPA
Nov. 6. Carolin Altmann (FSU, Anatomy): Perceived colour and appreciation of abstract art

https://www.uniklinikum-jena.de/anatomie1/en/Research/Group+Redies.html

Nov.20 Gregory Kroliczak (Adam Mickiewicz University in Poznan, Poland): TBA

http://kognilab-en.home.amu.edu.pl/

 

Dec 4. Nadine Wanke (Univ. Hamburg): Neural correlates of learned helplesness

https://www.psy.uni-hamburg.de/arbeitsbereiche/kognitionspsychologie/personen/wanke-nadine.html

 

Dev. 18. Chenglin Li (BPCN): Predictive processes for learning non-exptertise objects. Program proposal and state-of-the-art
Jan 15: Franco Cauda/Tommaso Costa (Univ. Turin, Italy):TBA

http://www.focuslab.org/

Brain talks:  2019 SOSE
04,10 INTRO +AUSTRALIEN REPORT
04,17  ---
04,24  ----
05,01 HOLIDAY
05,08 VILJAMI SALMELA
05,15   ---FAK.RAT. NEYER REPL
05,22 ANTAl ANDI
05,29  ----
06,05 NEGYESSY LASZLO
06,12 PROPEDEUTIKUM TALKS-moritz -lukas
06,19 PROPEDEUTIKUM TALKSjohannes-lu
06,26 DOBEL
07,03 EMPRA REHEARSAL
07,10

 

Brain talks:  2018 2019 WISE
10,17 INTRO
10,24 FMRI PROJECTS summary -gk, smr
10,31 HOLIDAY
11,07 TMS PROJECTS summary -ce
11,14 Amanda Marshall, LMU Munchen
11,21 EEG PROJECTS summary-ga
11,28  ---
12,05  ---
12,12 joint seminar with ALLG1 about MVPA EEG
12,19 Christian Gaser JUH Jena
12,26 HOLIDAY
01,02 HOLIDAY
01,09  ---
01,16  ---
01,23 Ricarda Schubotz, Münster FRIDAY TERMIN!
01,30 EMPRA SUMMARIES
02,06  ---
Brain talks: 2018 SOSE
04,09 INTRO
04,16
04,23
04,30 Michael  Hoffman
05,07
05,14 Geza Ambrus
05,21  ---
05,28 Keresztes Attila
06,04 Dario Urban
06,11 Ricarda Budny
06,18 Violetta Bierman
06,25 Sven Heinrich
07,02 Bahar Aydin
07,09 Philipp Böhm

 

 

Brain talks: 2017-2018 WISE
27.09 Patrick Johnson Queensland University of Technology, Australia):
"Prediction and error in the visual brain"
18.10 INTRO
01.11 Gyula Kovacs (BPCN): "The predictive Brain"
08.11 Daniel Kaiser (Charite): TBA
15.11 Charlotta Eick (FSU): Albinism and the visual system
22.11 Alina Peter (Max Planck Frankfurt): TBA
29.11  Steffen Kluckow: UJH TBA
06.12 Catarina Amado: FUTURE DIRECTIONS
07.12 Sabrina Trapp (DONNERSTAG!!!)
03.01 Mareike Grotheer (Stanford): TBA
17.01 Jürgen Kaufmann (General Psychology I, FSU Jena): TBA
24.01 Sophie-Marie Rostalski: Repetition suppression and learning
31.01 Charlotta Eick-Geza Ambrus-Gyula Kovacs: Presentation of the TMS face network grant
07.02 Geza Ambrus: Machine learning
 

 

 

Brain talks: 2017-2018 WISE
27.09 Patrick Johnson Queensland University of Technology, Australia):
"Prediction and error in the visual brain"
18.10 INTRO
01.11 Gyula Kovacs (BPCN): "The predictive Brain"
08.11 Daniel Kaiser (Charite): TBA
15.11 Charlotta Eick (FSU): Albinism and the visual system
22.11 Alina Peter (Max Planck Frankfurt): TBA
29.11  Steffen Kluckow: UJH TBA
06.12 Catarina Amado: FUTURE DIRECTIONS
07.12 Sabrina Trapp (DONNERSTAG!!!)
03.01 Mareike Grotheer (Stanford): TBA
17.01 Jürgen Kaufmann (General Psychology I, FSU Jena): TBA
24.01 Sophie-Marie Rostalski: Repetition suppression and learning
31.01 Charlotta Eick-Geza Ambrus-Gyula Kovacs: Presentation of the TMS face network grant
07.02 Geza Ambrus: Machine learning