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Kate Jeffery was born on 5 March, 1962 in New, is a New Zealand neuroscientist. Discover Kate Jeffery's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is She in this year and how She spends money? Also learn how She earned most of networth at the age of 62 years old?

Popular As N/A
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Age 62 years old
Zodiac Sign Pisces
Born 5 March 1962
Birthday 5 March
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We recommend you to check the complete list of Famous People born on 5 March. She is a member of famous with the age 62 years old group.

Kate Jeffery Height, Weight & Measurements

At 62 years old, Kate Jeffery height not available right now. We will update Kate Jeffery's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.

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Who Is Kate Jeffery's Husband?

Her husband is Jim Donnett

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Husband Jim Donnett
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Kate Jeffery Net Worth

Her net worth has been growing significantly in 2022-2023. So, how much is Kate Jeffery worth at the age of 62 years old? Kate Jeffery’s income source is mostly from being a successful . She is from . We have estimated Kate Jeffery's net worth , money, salary, income, and assets.

Net Worth in 2023 $1 Million - $5 Million
Salary in 2023 Under Review
Net Worth in 2022 Pending
Salary in 2022 Under Review
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Timeline

2019

Jeffery is particularly interested in the representation of 3D space within the hippocampal system in our brain. The hippocampus contains place cells, discovered by O’Keefe in 1971, and her work has focused on the question of how a place cell “knows” when to become active. A long running thread has been how the brain integrates static information from environmental landmarks and dynamic information arising from movement through space.

2011

A second interest has been in how the brain uses “context” to help determine which environment the animal is in. More recent work has addressed the issue of whether the internal map extends upwards as well as across horizontal space (in other words, whether it is three-dimensional). Jeffery's original proposal in 2011 was that the map is essentially “flat” (2-D), with relatively little sensitivity to upwards movement, but more recent work has modulated that view as it seems that in some types of environment the place-cell map can be 3-D.

2010

She was also head of department for Experimental Psychology (which back then was called Cognitive, Perceptual and Brain Sciences) at University College London from 2010–2013.

1993

Jeffery grew up in Dunedin, New Zealand, the daughter of an orthopaedic surgeon and operating theatre nurse. She went to S. Hilda's Collegiate School for girls and then attended Otago University Medical School, spending clinical training years in Christchurch. She met Jim Donnett during her time in Edinburgh. They moved to London together when she began her postdoctoral work. They were married in 1993 and later had three daughters, in 1994, 1997 and 2002.

1985

Jeffery graduated with a degree of MB ChB from the University of Otago in 1985. After working as a house officer, she returned to the University of Otago to complete a master's degree in 1989 under the supervision of Cliff Abraham. She completed her PhD at the University of Edinburgh in 1993 under the supervision of Richard Morris. She went on to work as a postdoctoral researcher with John O'Keefe, who won the 2014 Nobel Prize for his work on place cells, at University College London. Jeffery correctly predicted he would win the Nobel Prize in a tweet. During this time she met May-Britt Moser and Edvard Moser who visited the lab for several months. Donnett sold them a newly designed recording system, this being the first sale from the company Axona Ltd he founded with Jeffery and which they still direct. This recording system later became the one with which the Mosers discovered grid cells, and now resides in the Nobel Prize Museum in Stockholm.

1962

Kathryn Jane Jeffery (born 5 March 1962) is a neuroscientist from New Zealand. She is a professor of behavioural neuroscience at University College London. She studies how the brain encodes three-dimensional space and its role in navigation.