Sander Tanni

[Sander Tanni @sandertanni]

Neural activity in rodent CA1 place cell populations is homeostatically balanced.

Hippocampal place field size and frequency are governed by proximity to boundaries.

Transition rate through place cell population matches rate of change in visual scene.

[Sander Tanni @sandertanni]

My PhD work is now published @CurrentBiology and about to hit the press! I am super proud of this work - described "deceptively simple, and elegant" by reviewers. So grateful to @willdecothi and @caswellcaswell for massive contributions! Check it out: https://t.co/zUJJtq1Aox

[Markus Frey @CYHSM]

Thanks to @caswellcaswell for the awesome supervision together with @doellerlab and all others who made this project possible @sandertanni, @c_perrodin, Alice O'Leary, @NauMatt, @jack_kelly, @AndreaBanino, Daniel Bendor, @JulieM_Lefort

[Sander Tanni @sandertanni]

@ZitaPatai @caswellcaswell I think you got it right, it is beautiful! Even just the r-value of 0.996 in the last plot is just mesmerising.

[Sander Tanni @sandertanni]

Check out our preprint here https://t.co/eJt5rfUe4G

[Sander Tanni @sandertanni]

Very excited to be finally publishing this amazing work with @willdecothi and @caswellcaswell - The More Things Change, The More They Remain The Same!

[Sander Tanni @sandertanni]

@caswellcaswell The rate of change in the place cell population vector mirrors the rate of change in the visual scene - transition through the hippocampal representation is dependent on visual scene granularity

[Sander Tanni @sandertanni]

@caswellcaswell Density of place field peaks and the size of fields change with distance from the environmental boundary in a homeostatic manner – the distribution of place cell firing rates remains constant

[Sander Tanni @sandertanni]

@caswellcaswell We recorded 629 place cells and over 4x as many place fields across 4 different open-field environments to uncover large-scale population statistics

[Markus Frey @CYHSM]

Happy to share my first PhD project as a #preprint. We introduce DeepInsight: A general framework for interpreting wide-band neural
activity. Can be applied on unsorted neural data + calcium imaging to decode continous behaviour or stimuli.
Paper: https://t.co/MCx04KaGcV

[Kristjan Korjus @kristjankorjus]

Published! https://t.co/qMZkSbW2tL Data Partitioning to Improve Classification Performance While Keeping Params. Interpretable @UniTartuCS