- Lab member: 2021-
- Google Scholar
Department of Electrical and Electronic Engineering
London SW7 2AZ
Marcus Ghosh is an Eric and Wendy Schmidt AI in Science Postdoctoral Fellow, funded by Schmidt Futures. In his work he uses neural network models to explore how the brain combines information from multiple senses (multimodal integration).
Multimodal units fuse-then-accumulate evidence across channelsTalk / 2023
Talk on multimodal processing given at VVTNS 2023 seminar series
Note that only publications as part of the Neural Reckoning group are included here (see external publications below for full list).
Ghosh M, Béna G, Bormuth V, Goodman DFM
Multimodal units fuse-then-accumulate evidence across channels.
- Hellen Weinschutz Mendes, et al. (2023)
High-throughput functional analysis of autism genes in zebrafish identifies convergence in dopaminergic and neuroimmune pathways
- Dale Bryant, et al. (2020)
Diverse species-specific phenotypic consequences of loss of function sorting nexin 14 mutations
- Marcus Ghosh, Jason Rihel (2020)
Hierarchical Compression Reveals Sub-Second to Day-Long Structure in Larval Zebrafish Behavior
- Tim G. Ashlin, Nicholas J. Blunsom, Marcus Ghosh, Shamshad Cockcroft, Jason Rihel (2018)
Pitpnc1a Regulates Zebrafish Sleep and Wake Behavior through Modulation of Insulin-like Growth Factor Signaling.
- Ellen J. Hoffman, et al. (2016)
Estrogens Suppress a Behavioral Phenotype in Zebrafish Mutants of the Autism Risk Gene, CNTNAP2
- Jason Rihel, Marcus Ghosh (2016)
Drug Discovery and Evaluation: Pharmacological Assays
- Pedro Martin-Cabrera, et al. (2015)
Clinical use of low haemoglobin density, transferrin saturation, bone marrow morphology, Perl's stain and other plasma markers in the identification of treatable anaemia presenting for cardiac surgery in a prospective cohort study
Journal of Clinical Pathology
- Matthew Hung, et al. (2014)
A prospective observational cohort study to identify the causes of anaemia and association with outcome in cardiac surgical patients