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Department of Physiology, Development and Neuroscience

Studying at Cambridge

Talks at PDN

Mon 08 May 16:30: Decoding the population activity of grid cells for spatial localization and goal-directed navigation

From Adrian Seminars in Neuroscience. Published on Mar 27, 2017.

Decoding the population activity of grid cells for spatial localization and goal-directed navigation

Mammalian grid cells discharge when an animal crosses the points of an imaginary hexagonal grid tessellating the environment. In this talk, I will show how animals can use this code by reading out the grid-cell population activity across multiple spatial scales. The theory explains key experimental results, makes testable predictions for future physiological and behavioral studies, and provides a mathematical foundation for the concept of a “neural metric” for space. For goal-directed navigation, the proposed allocentric grid-cell representation can be readily transformed into the egocentric goal coordinates needed for planning movements. These results show that the grid-cell code provides a powerful and highly flexible neural substrate for spatial cognition.

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Mon 15 May 16:30: Adrian Seminar - title to be confirmed

From Adrian Seminars in Neuroscience. Published on Mar 09, 2017.

Adrian Seminar - title to be confirmed

Abstract not available

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Thu 01 Jun 16:00: Interplay between cellular senescence and reprogramming during tissue repair

From Foster Talks. Published on Jan 17, 2017.

Interplay between cellular senescence and reprogramming during tissue repair

Abstract not available

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Thu 27 Apr 16:00: Removing tumours from within and around the brain

From Foster Talks. Published on Jan 09, 2017.

Removing tumours from within and around the brain

Abstract not available

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RSS Feed Latest news

Magdalena Zernicka-Goetz awarded international IVI Foundation Award

Apr 21, 2017

Prof Zernicka-Goetz was awarded the IVI Foundation Award for Basic Research in Reproductive Medicine 2017.

Algorithm matches genetic variation to disease symptoms and could improve diagnosis of rare diseases

Apr 21, 2017

A faster and more accurate method of identifying which of an individual’s genes are associated with particular symptoms has been developed by a team of researchers from the UK and Saudi Arabia. This new approach could enable scientists to take advantage of recent developments in genome sequencing to improve diagnosis and potential treatment options.

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