Utilising hippocampal neuronal calcium activity in mouse CA1 for a multimodal optical brain-computer interface
Sun, D.; Saatlou, F. H.; Yu, Y.; Unnithan, R. R.; French, C.
Show abstract
The hippocampus has been proposed to integrate information from multiple sensory modalities, supporting a comprehensive "cognitive map" for both spatial and non-spatial information. Previous studies have demonstrated decoding of hippocampal spatial information in real time by recording neuronal action potentials with electrodes. However, decoding of hippocampal non-spatial information robustly in real-time has not been previously shown. Here, we utilise the advantages of widefield optical calcium imaging to construct an optical brain-computer interface (BCI) driven by calcium activity of large neuronal ensembles ([~]600 neurons) to decode spatial, visual and auditory information effectively in real time. We developed a high speed end-to-end analysis workflow with advanced machine learning techniques for decoding. This methodology achieves high decoding accuracy and provides a "cognitive translation" approach that may be applied to both research and clinical applications to allow direct neural communication with animals and patients with impairment of function.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The Hybrid Drive: a chronic implant device combining tetrode arrays with silicon probes for layer-resolved ensemble electrophysiology in freely moving mice 95%
- Decoding of cortex-wide brain activity from local recordings of neural potentials 95%
- Decoding multi-limb movements from low temporal resolution calcium imaging using deep learning 94%
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Revealing Spatiotemporal Circuit Information of Olfactory Bulb in Large-scale Neural Recordings 91%
- Rich Experience Boosts Functional Connectome and High-Dimensional Coding in Hippocampal Network 91%
- Demonstration and structural basis of a therapeutic DNA aptamer for SARS-CoV-2 spike protein detection 89%
Similar papers in this journal
- ARBUR, a machine learning-based analysis system for relating behaviors and ultrasonic vocalizations of rats 94%
- Two-photon voltage imaging of spontaneous activity from multiple neurons reveals network activity in brain tissue 94%
- A dual-color miniature endoscope for calcium imaging in behaving mice 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.