Course title:  Neural Circuits for Navigation: Anatomy, Physiology, and Computational Methods

Course outline:
Dr. Eric Denovellis is a computational neuroscientist, whose work specializes on interpretable algorithms and tools to decode, categorize, and visualize neural representations, particularly in the hippocampal circuit. He is also the co-developer of an open-source neural data management and analysis platform built on a neural data standard, Neuro data Without Borders (NWB), and Data Joint. The course will be offered on-site at NCBS. Lectures will be held in person.


2 credit course (total contact hours: 20; total TA hours: 10)

Lecture 1: Hippocampal anatomy and physiology [1.5 hour] – Abhilasha
Lecture 2: Entorhinal cortex anatomy and physiology [1.5 hour] – Abhilasha
Lecture 3: Septo-hippocampal & septo-cortical connections [1.5 hour] – Abhilasha

Lecture 4-5-6-7/ Open data use and visualization [4 hours] – Abhilasha/Eric
- Common data standards in neuroscience and their use (NWB)
- Visualize and characterize LFP
- Visualize and characterize spikes
- Visualize and characterize properties of stimulus (position, sound, movement, etc)

Lecture 8-9-10-11/ Spectral properties of LFP [4 hours] – Abhilasha/Eric
- Signal filtering and pre-processing
- Bandpass filtering of neural data
- Power spectral density (PSD) and frequency-domain analysis
- Relating LFP rhythms to behavioural variables

Lectures 12-13-14-15/ Spike–Stimulus Analysis and Decoding [4 hours] – Eric
- Spike stimulus relationships
- Basic neural decoders 
- Clustered decoding approaches

Lectures 16-17-18-19/ Cluster less Decoding Approaches [4 hours] –Eric
- Decoding of continuous variable (eg, spatial position) from spiking activity
- Decoding discrete variables (e.g. value, choice) from spiking activity
- Assessing decoding accuracy and statistical confidence

Analysis project presentation – Abhilasha/Eric
- Final project presentation and assessment  


Course Outcomes

After completing this course, the student will be able to:

CO1

Understand septo-hippocampal-entorhinal circuit anatomy and physiology underlying navigation

CO2

Visualize and plot neural and behavioural data

CO3

Analyse spectral properties of local field potentials (LFPs)

CO4

Decode behavioural or stimulus variables from spiking activity


Instructors: Abhilasha Joshi, Eric Denovellis

Schedule: Tuesday and Thursday -  10 - 11:30  AM

Venue: LH 2