An attentive audience at summer Science Day 2023.
Brain Network Dynamics Seminar Series
The MRC BNDU runs a seminar series to showcase leading work in the fields of neural dynamics and neurotechnology. These talks aim to expose our Unit members to a diversity of fields, encouraging the cross-fertilisation of ideas. The list of up-coming talks in this series can be found on the Oxford Talks web site. Any member of the University of Oxford is welcome to attend our seminars. Previous talks are listed in the table below.
| Date | Speaker | Affiliation | Title of seminar |
|---|---|---|---|
| 17/07/2024 | Prof Dimitri Kullmann | University College London | Closed-loop modulation of neural activity at different timescales. |
| 05/06/2024 | Dr Elsa Fouragnan | University of Plymouth | Early-phase neuroplasticity induced by repetitive transcranial ultrasound stimulation in humans. |
| 28/05/2024 | Prof Christopher Rozell | Georgia Tech, Atlanta | Decoding depression recovery with deep brain stimulation using explainable AI. |
| 01/05/2024 | Dr Julia Harris | University College London | Sniffing out circuit changes during sleep. |
| 10/04/2024 | Prof James Rowe | University of Cambridge | Dynamic causal models of the impact of dementias on micro- and macro-circuits: novelty, validity, reliability? |
| 06/03/2024 | Dr Danelia Noain | UZH, Zurich | Closed-loop auditory stimulation of sleep slow waves: Development of the rodent technique and preclinical implementation. |
| 21/02/2024 | Prof Gregor Thut | University of Glasgow | Human brain oscillations in perception/attention: A mosaic of perceptually relevant rhythms is concealed in the “canonical” alpha frequency band |
| 04/12/2023 | Prof Arvind Kumar | KTH, Stockholm | Dopamine beyond reward prediction error: Role of spatial structure of dopamine in learning |
Toolbox Talks
The MRC BNDU organises monthly Toolbox talks to provide technical skills training and to enhance collaboration, interdisciplinarity and cross-sector working. Most of the Toolbox speakers are early-career researchers at the MRC BNDU, but we welcome contributions from colleagues across the University of Oxford and beyond. The sessions have proven to be a popular way to share knowledge about state-of-the-art techniques that underpin world-leading research on brain dynamics.
Each speaker takes the first 45 minutes to talk through the context, concepts, ideas and implementation of their selected tool, after which we encourage an informal discussion. The presentations are accessible to those who are not using the tools in their day-to-day work, but also helpful to those who consider themselves expert.
| Date | Speaker | Title | Type |
|---|---|---|---|
|
28/06/2024 |
Bahman Abdi Sargezeh |
Tensor decomposition
|
Hybrid
|
| 31/05/2024
|
Ioana Grigoras
|
Ultrasound stimulation
|
Hybrid
|
|
26/04/2024 |
Thomas Akam |
Rodent task design including control conditions |
Hybrid |
| 29/03/2024
|
Mathilde Guillaumin, Cal Shearer
|
Calcium imaging
|
Hybrid
|
|
01/03/2024 |
Vitor Lopes dos Santos |
Detecting co-activity patterns with PCA and ICA c |
Hybrid |
| 26/01/2024
|
Mufeng Tang
|
Predictive coding theory and tutorial
|
Hybrid
|
| 2023 | |||
| 24/11/2023
|
Oiwi Parker Jones
|
Machine learning in real time for speech decoding, MEG data
|
Hybrid
|
|
27/10/2023 |
John Fleming |
Building data analysis pipelines using Jupyter Notebooks |
Hybrid |
| 29/09/2023
|
Guy Yona
|
Control theory; Closed loop systems
|
Hybrid
|
|
14/07/2023 |
Ashwini Oswal |
MEG |
Hybrid |
| 07/07/2023
|
Yangfan Peng, Tim West, Jeff Stedehouder, Benoit Duchet
|
AI and ChatGPT
|
Hybrid
|
|
09/06/2023 |
Melissa Serrano |
Chemogenetics |
Hybrid |
| 28/04/2023
|
Jil Meier
|
Brain network modelling with The Virtual Brain: an introduction and the use case of virtual deep brain stimulation
|
Hybrid
|
|
31/03/2023 |
Yangfan Peng |
Multi-channel large scale eletrophysiology |
Hybrid |
| 10/02/2023
|
Yuhang Song
|
Training neural network with PyTorch
|
Hybrid
|
|
27/01/2023 |
Ali Kavoosi |
TinyML: designing embedded ML algorithms for harsh and restrictive environments |
Hybrid |
| 2022 | |||
|
25/11/2022 |
Charlie Stagg |
Paired peer mentoring |
Hybrid |
| 26/10/2022
|
Muthuraman Muthuraman
|
Precision medicine
|
Hybrid
|
|
23/09/2022 |
Adam Packer |
All optical imaging for interoggating neural circuits |
Hybrid |
| 01/07/2022
|
Camille Loiseau
|
Cell Profiler
|
Hybrid
|
|
27/05/2022 |
Tulika Nandi |
Ultrasound stimulation |
via Zoom |
| 29/04/2022
|
Colin McNamara
|
Phase estimation 2 (practical implementation)
|
Hybrid
|
|
08/04/2022 |
Karen Wendt, Beatriz Silveira de Arruda |
Phase estimation 1 (theory) |
via Zoom |
| 25/02/2022
|
Shenghong He
|
Brain Computer Interfaces
|
via Zoom
|
|
28/01/2022 |
Natalie Doig |
Stereology |
via Zoom |
| 2021 | |||
|
26/11/2021 |
Guy Yona |
Noise in e-phys (EMI) |
via Zoom |
| 29/10/2021
|
Colin McNamara
|
Python from Matlab
|
via Zoom
|
|
24/09/2021 |
Steve McHugh |
Statistical power analysis |
via Zoom |
| 26/03/2021
|
Ben Micklem
|
Thoughts on figures / Quality assurance of research data in a sharing world
|
via Zoom
|
|
26/02/2021 |
Benoit Duchet |
Multiple comparisons correction |
via Zoom |
| 2020 | |||
|
27/11/2020 |
Tim Denison |
Part 1: Principles of classical control and cybernetics |
via Zoom |
| 27/11/2020
|
Huiling Tan
|
Part 2: Modern Control and Optimisation
|
via Zoom
|
|
02/10/2020 |
Vitor Lopes dos Santos |
Assemblies: PCA-ICA |
via Zoom |
| 02/10/2020
|
Helen Barron
|
General linear models
|
via Zoom
|
| 25/06/2020
|
Charlie Clarke-Williams
|
Empirical Mode Decomposition II
|
via Zoom
|
|
28/05/2020 |
Andrew Quinn |
Empirical Mode Decomposition |
via Zoom |
|
29/01/2020 |
Will Clarke, Evan Edmond, Renee Koolschijn |
Magnetic Resonance Spectroscopy |
via Zoom |
