Welcome to Spiking Brains’s documentation!

Documentation Status

Analysis of the Steinmetz neurons dataset using methods from computational neuroscience and machine learning.

Spiking Brains

Content

The modules reside in the package ./app.

Following are the notebooks that use function from ./app/ to perform analysis.

  1. Exploratory Analysis

    • Experiment flow across sessions and trials.

  2. Behaviour Analysis

    • Response to stimulus.

  3. Neurons Analysis

    • Neuron spikes and firing rate.

  4. Phenomena Analysis

    • Neuron response with respect to different behaviours.

  5. Machine Learning Modelling

    • Decoding neuron activity

    • Effect of trial history on current response.

Installation

Clone the repository.

git clone https://github.com/theairbend3r/spiking-brains.git

Install the packages.

Using Conda.

conda env create -f spiking-brains.yml

Using Pip.

pip install requirements.txt

Meta

Akshaj Verma – @theairbend3r

Distributed under the GNU GPL-V3 license. See LICENSE for more information.

https://github.com/theairbend3r/spiking-brains

Indices and tables