Talking Science with Matteo Carandini, 12-13 Dec. 2018
The most recent Talking Science event features the Professor of Visual Neuroscience at the University College London and leading expert on cortical processing.
29.11.2018
“Talking Science” is a unique program, organized for PhD and Master students by PhD students to provide an opportunity to get in touch with experienced researchers in an informal atmosphere. The program starts with a talk by Prof. Carandini (open to the public).
Moreover, the program features round table discussions, one-on-one meetings, an open discussion forum, lunch and dinner with the speaker. All interested students from the Munich neuroscience community are invited. For registration and the complete program, please visit http://www.talking-science.de. Please note that you can also earn ECTS credit points for participating in this event.
In the course of this event Prof. Matteo Carandini will spend time with interested students discussing his research, his path through science and academia and other career related topics. This is your chance to meet a world-known scientist and chat in an informal environment.
The main talk will take place
Wednesday, Dec 12th
10:00 a.m.
Room B01.027
LMU Biocenter, Martinsried
Title "From Vision to Navigation: A Journey across Mouse Cortex"
Matteo Carandini studied mathematics at Università di Roma (1990) and received a PhD in Neural Science from New York University (1996). After postdoctoral fellowships at Northwestern University and New York University, he established a laboratory at the Swiss Federal Institute of Technology in Zurich (1998). He then moved the laboratory to the Smith-Kettlewell Eye Research Institute in San Francisco (2002) and finally to UCL (2007). In 2017 Prof. Carandini co-initiated the International Brain Laboratory, a global neuroscience collaboration.
Prof. Carandini runs a joint research group with Prof. Kenneth Harris, the Cortical Processing Laboratory. His work aims to understand how the brain processes sensory signals, and integrates them with internal signals to guide decision and action. The goal is to understand these processes at the level of large populations of individual neurons. The laboratory investigates these questions with advanced experimental techniques and with computational analysis.
