auditory brain

Unsupervised deep learning identifies semantic disentanglement in single inferotemporal neurons

Irina is a research scientist at DeepMind, where she works in the Froniers team. Her work aims to bring together insights from the fields of neuroscience and physics to advance general artificial intelligence through improved representation learning. Before joining DeepMind, Irina was a British Psychological Society Undergraduate Award winner for her achievements as an undergraduate student in Experimental Psychology at Westminster University, followed by a DPhil at the Oxford Centre for Computational Neuroscience and Artificial Intelligence, where she focused on understanding the computational principles underlying speech processing in the auditory brain. During her DPhil, Irina also worked on developing poker AI, applying machine learning in the finance sector, and working on speech recognition at Google Research."" https://arxiv.org/pdf/2006.14304.pdf

How the auditory brainstem of bats detects regularity deviations in a naturalistic stimulation paradigm

FENS Forum 2024

Auditory brainstem responses in the Nrxn1 rat and Cntnap2 mouse models for neurodevelopmental disorders: A longitudinal and pharmacological study

Functional analysis of microRNAs in auditory brainstem of mice

Sound representations in the auditory brainstem of awake mice

The alanine-serine-cysteine-1 transporter (Asc1) provides glycine at fast inhibitory auditory brainstem synapses

FENS Forum 2024

The developmental effects of repeated antenatal dexamethasone treatment on ADP-mediated and adenosinergic signaling system in the auditory brainstem of C57BL/6 mice

FENS Forum 2024

Massive impact of anesthesia on sound representations in the auditory brainstem

FENS Forum 2024