Sensory information, in particular visual information, plays a key role in our ability to navigate through the environment, from identifying landmarks and obstacles to determining location and heading. While we are starting to gain insights into how sensory systems work in navigating animals, we know little about how sensory information is integrated into the spatial system at the neural level.
I am developing novel technology together with machine learning-based analysis methods to study sensory and cognitive processes with single-cell resolution in freely moving animals. By combining head and eye tracking in freely moving mice with large-scale neural recordings (e.g., neuropixels), virtual reality, and computational modeling, I hope to understand (1) how key aspects of an animal’s environment such as landmarks are encoded in early and higher visual cortex and (2) how this information is integrated into the brain’s navigation network.
The Hybrid Drive: a chronic implant device combining tetrode arrays with silicon probes for layer-resolved ensemble electrophysiology in freely moving mice
Guardamagna M, Eichler R, Pedrosa R, Aarts A, Meyer AF*, Battaglia FP*
bioRxiv, 2021.
(preprint)
Mouse visual cortex contains a region of enhanced spatial resolution
van Beest EH*, Mukherjee S*, Kirchberger L*, Schnabel UH, van der Togt C,
Teeuwen RRM, Barsegyan A, Meyer AF, Poort J, Roelfsema PR*, Self MW*
Nature Communications, 2021, 12, 4029.
(article)
Two distinct types of eye-head coupling in freely moving mice
Meyer AF, O’Keefe J, Poort J
Current Biology, 2020, 30, 2116-2130
(bioRxiv preprint)
A head-mounted camera system integrates detailed behavioral monitoring with multichannel electrophysiology in freely moving mice
Meyer AF*, Poort J*, O’Keefe J, Sahani M, Linden JF
Neuron, 2018, 100, 46-60
(article)
Models of neuronal stimulus-response functions: elaboration, estimation and evaluation
Meyer AF, Williamson R, Linden JF, and Sahani M
Front. Syst. Neurosci., 2017, 10, 109
(article, code)