Menu

Cambridge Methods In Cognitive Neuroscience Day

Image for Cambridge Methods In Cognitive Neuroscience Day

We are pleased to share the schedule for our upcoming Methods Day on December 2nd (details below). This year’s Methods Day will feature 18 short talks, primarily from researchers in and around Cambridge, covering recent innovations and applications in brain imaging, brain stimulation, behavioural research, and web-based experiments.

The event is open to the entire Cambridge cognitive neuroscience community, from students to principal investigators. It will be held in person only. Attendance is free and does not require registration. Videos of past Methods Days are available on the CBU website.

Olaf Hauk

 

Cambridge Methods Day

2 December 2024

9.15-11.00

EEG/MEG

Chair: Olaf Hauk

Attentional Modulation of Prediction Error Information Encoding in Cortical and Subcortical Structures Using Human sEEG

Juho Äijälä

Department of Psychology

Some recent methods developments in MEG analysis by others, stimulated by sharing CamCAN MEG data

Rik Henson

MRC CBU

DCM in Action

Rebecca Williams & Juliette Lanskey

MRC CBU

Aperiodic neural activity and its links to cognition

Runhao Lu

MRC CBU

Tracking loudness and speech features in EMEG data

Chentianyi Yang

MRC CBU

11.15-12.00

Brain Stimulation

Chair: Alexandra Woolgar

Concurrent TMS-fMRI to validate the use of E-field modelling in setting TMS dose

Elizabeth Michael

MRC CBU

Transcranial focused ultrasound stimulation enhances semantic memory by modulating neurochemicals and neural dynamics of the semantic network

JeYoung Jung

School of Psychology, University of Nottingham

Lunch break (Light lunch buffet will be provided)

12.45-13.45

Research Tools

Chair: Olaf Hauk

Real-time 3D motion tracking using a portable stereo depth camera

Celia Foster

MRC CBU

Web-based methods

Adam or Matt

MRC CBU

Three AI Tools to Supercharge Your Research

Avi Staiman

CEO, Academic Language Experts

 

14.00-15.00

Behavioural and Statistical Methods

Chair: Rik Henson

Network Analysis of Behavioural Data in Large Samples and N=1 Studies

Nimrod Hertz

MRC CBU

Beyond P-Values: Embracing Bayes

Rebecca Williams

MRC CBU

Reliability estimation for Bayesian measurement models

Giacomo Bignardi

Department of Psychology

15.15-17.00

MRI and fMRI

Chairs: Marta Correia & Dace Apšvalka

Iterated LASSO and other approaches for whole-brain multivariate decoding of fMRI

Tim Rogers

Department of Psychology, University of Wisconsin-Madison

Progress on 7T Deuterium Metabolic Imaging

Masha Novoselova

Wolfson Brain Imaging Centre

Complimentary MR measures of White Matter and their relation to Ageing and Cognition

Petar Raykov

MRC CBU

Evaluation of scanner differences in T1 structural data using Freesurfer

Tanvi Rao

MRC CBU

Novel approaches to detect abnormalities on MRI in neurodegenerative disorders

Tim Rittman

Department of Clinical Neurosciences

 

 

Posted on 13/11/2024