Continuous phase spaces and the time evolution of spins: star products and spin-weighted spherical harmonics
Koczor, B
Zeier, R
Glaser, S
Journal of Physics A: Mathematical and Theoretical
volume 52
issue 5
055302
(01 Feb 2019)
PIC microcontroller based external fast analog to digital converter to acquire wide-lined solid NMR spectra by BRUKER DRX and Avance-I spectrometers
Koczor, B
Rohonczy, J
Solid State Nuclear Magnetic Resonance
volume 66
21-28
(18 Apr 2015)
An alternative solution for computer controlled tuning and matching of existing NMR probes
Koczor, B
Sedyó, I
Rohonczy, J
Journal of Magnetic Resonance
volume 259
179-185
(04 Oct 2015)
A novel pulse scheme for multiple quantum excitation, SFAM to enhance the sensitivity of MQMAS experiments
Koczor, B
Rohonczy, J
Solid State Nuclear Magnetic Resonance
volume 74
1-9
(22 Apr 2016)
Back in October, for the first time, we filmed an actual student lecture, Vicky Neale's lecture on 'Complex Numbers.' We wanted to show what studying at Oxford is really like, how it is not so different to school while at the same time taking things to a more rigorous level. Since we made the film available, over 375,000 people have watched some of it.
Fri, 03 May 2019
15:00 -
16:00
N3.12
Persistence of Random Structures
Primoz Skraba
(Queen Mary University London)
Abstract
This talk will cover the connections of persistence with the topology of random structures. This includes an overview of various results from stochastic topology as well as the role persistence ideas play in the analysis. This will include results on the maximally persistent classes and minimum spanning acycles/generalised trees.
Sparse non-negative super-resolution — simplified and stabilised
Eftekhari, A
Tanner, J
Thompson, A
Toader, B
Tyagi, H
Applied and Computational Harmonic Analysis
volume 50
216-280
(Jan 2021)
Online sampling for parameter estimation in general state space models
Andrieu, C
Doucet, A
Tadić, V
IFAC-PapersOnLine
volume 36
issue 16
1275-1280
(Sep 2003)
Tue, 18 Jun 2019
12:00 -
13:00
C4
Chasing memories
Anita Mehta
(Somerville College)
Abstract
Short- and long-term memories are distinguished by their forgettability. Most of what we perceive and store is lost rather quickly to noise, as new sensations replace older ones, while some memories last for as long as we live. Synaptic dynamics is key to the process of memory storage; in this talk I will discuss a few approaches we have taken to this problem, culminating in a model of synaptic networks containing both cooperative and competitive dynamics. It turns out that the competitionbetween synapses is key to the natural emergence of long-term memory in this model, as in reality.
References
Mehta, Anita. "Storing and retrieving long-term memories: cooperation and competition in synaptic dynamics." Advances in Physics: X 3.1 (2018): 1480415.