Flatiron Software

Recent advances in calcium imaging acquisition techniques are creating datasets of the order of Terabytes/week. Memory and computationally efficient algorithms are required to analyze in reasonable amount of time terabytes of data. This project implements a set of essential methods required in the calcium imaging movies analysis pipeline. Fast and scalable algorithms are implemented for motion correction, movie manipulation, and source and spike extraction. CaImAn also contains some routines for the analyisis of behavior from video cameras. In summary, CaImAn provides a general purpose tool to handle large movies, with special emphasis on tools for two-photon and one-photon calcium imaging and behavioral datasets.

NeMoS (Neural ModelS) is a JAX-powered statistical modeling framework for systems neuroscience. It combines a composable module for designing model features with GPU-accelerated, scalable implementations of models of neural activity and behavior.

plenoptic is a python library for model-based stimulus synthesis. It provides tools to help researchers understand their model by synthesizing novel informative stimuli, which help build intuition for what features the model ignores and what it is sensitive to. These synthetic images can then be used in future perceptual or neural experiments for further investigation.

Pynapple is a light-weight python library for neurophysiological data analysis. The goal is to offer a versatile set of tools to study typical data in the field, i.e. time series (spike times, behavioral events, etc.) and time intervals (trials, brain states, etc.).

It also provides users with generic functions for neuroscience such as tuning curves and cross-correlograms.