Our laboratory focuses on the circuitry of the hippocampus and anatomically related regions. We use a combination of techniques, including large scale multielectrode recording, real-time signal processing and targeted optogenetic interventions and behavioral manipulations of awake, behaving animals to understand how the brain learns, remembers and decides.
- spyglass - Neuroscience data analysis framework using NWB files and Datajoint pipelines
- trodes_to_nwb - Convert trodes .rec files to the NWB 2.0+ data format
- NWB Yaml creator - Create standardized metadata YAML files for use with
trodes_to_nwb
- track_linearization - Convert 2D position to 1D position
- replay_trajectory_classification - Decode and categorize trajectories from spiking data
- ripple_detection - Detect ripples using the LFP
- position_tools - Tools for calculating smoothed 2D position, speed, head direction from LEDs on head stage
- Joshi, A., Denovellis, E.L., Mankili, A., Meneksedag, Y., Davidson, T.J., Gillespie, A.K., Guidera, J.A., Roumis, D., and Frank, L.M. (2023). Dynamic synchronization between hippocampal representations and stepping. Nature. 2023 Apr 12;10.1038/s41586-023-05928-6. [Paper] [Code] [Data]
- Denovellis EL, Gillespie AK, Coulter ME, Sosa M, Chung JE, Eden UT, et al. Hippocampal replay of experience at real-world speeds. eLife. 2021 Sep 27;10:e64505. [Paper] [Code] [Data]
- Gillespie AK, Astudillo Maya DA, Denovellis EL, Liu DF, Kastner DB, Coulter ME, et al. Hippocampal replay reflects specific past experiences rather than a plan for subsequent choice. Neuron. 2021 Aug;S0896627321005730. [Paper] [Code] [Data]
