Below you can find several resources we have created for the community.

• We have established and maintain the popular "Systems Neuroscience" mailing list (>2500 members, >2000 messages)
  To subscribe, visit the link.
  
  

• We established and maintain the "Paris Neuro Calendar", which aims to centralize all neuroscience seminars, conferences, and events in the region.
  
  

• Our lab has created the "French Academic Proxy", a browser extension that streamlines access through the INSERM and CNRS proxies.

• Our lab has established the "Paris Neuro" community Discord server, aimed at promoting, organizing, and structuring interactions within the broader Paris systems & circuits and computational neuroscience community.

• We provide the unofficial FENS2024 abstract database.

• Here you can find our short guide to getting started with Bluesky social network platform. 

If you are considering entering the field of systems and circuits neuroscience, the following resources would be extremely helpful in preparing you for the experimental and analytical methods that are necessary.

Neurophysiology & neural data analysis

• A brief history of neuroscience

• Approaches to study neural circuits
  Online videos and material from a highly-relevant class organized by Luke Sjulson.

• Neural data science
  Online course on the basics of analysis of neuroscience data by Philipp Berens.

• Basic theory of extracellular electrophysiology
  Online material for the fundamentals of electrophysiology

• Last Black Box course
  Fundamentals of electronics, signals, and neuroscience

• Neuromatch academy
  This is an excellent online resource for computational neuroscience.
  Check especially all the pre-reqs refreshers.

• Analyzing neural time series

• Computational psychiatry course material
  Check the preparation material and lecture recordings.

• Neuropixels online course

• Methods in computational neuroscience (course videos)
  See individual subfolders for each year. Valuable lectures.

• Neuroscience for ML

Programming and signal processing

• A primer on digital signal processing

• NMA Python workshop

• Neural data science with Python

• The good research code handbook

• Essentials of neuroscience with Matlab

• Statistics in Python

Mathematics

• Data science for biologists

• Essential statistics

• Basic statistics

• Forecasting: Principles and Practice

• Introduction to linear algebra and probability theory

• Basic math for machine learning

• Introduction to machine learning

• Stanford Engineering Everywhere courses

Molecular Biology

• AddGene tutorials

• AddGene protocols

• Synthetic biology one

• abm tutorials

More advanced topics

• Intro to dynamics systems

• Dynamical systems in neuroscience

• Complexity explorer
  A number of courses on dynamical systems and complexity

• Non-linear dynamics and chaos
  A course by Steven Strogatz

• Fourier Analysis

• Singular value decomposition

• Reinforcement learning

• Fundamental physics

• Engineering concepts

• Electronics explained

• Making prototypes

• Probabilistic machine learning

• Probabilistic and statistical machine learning 

• Advanced neural data analysis

• Fundamentals of data visualization

• Cajal course in Computational Neuroscience (online lectures)

• Theoretical Neuroscience course (I and II) 

• Modeling Neural Circuits

Inspiring science and engineering

• 3Blue1Brown

• Numberphile

• Veritasium

• The Action Lab

• Applied Science

Science podcasts

• Night Science

• Brain Inspired

• Stimulating brains

• Huberman lab

• Quanta Science

• MPFI Neurotransmissions

• Mind & Matter

• Theoretical Neuroscience

Online lectures and seminar series

• Brain-body interactions

• Cosyne talks

• Control of breathing

• Chemical neuromodulation

• Memory mechanisms in humans

• Dimensionality Reduction and Population Dynamics in Neural Data

Courses and summer schools

• Neuromatch academy

• Paris Spring School "Optical Imaging and Electrophysiological Recording in Neuroscience"

• TENSS course

• Cajal Interacting with Neuronal Circuits

• Cajal Computational Neuroscience course

• Cajal Optogenetics, chemogenetics, and biosensors

• Experimental Neuroscience Bootcamp

• Extracellular Electrophysiology Acquisition

Books

• Feeling good

Podcasts

• Night Science

• Life in academia

• Therapy in a nutshell

• Dragonfly Mental Health

• The Anxious Achiever

• WorkLife with Adam Grant

• Huberman lab

• Feeling good

Articles & videos

• Growing up in science

• Richard Hamming's "You and your research"

• Randy Pausch Last Lecture: Achieving Your Childhood Dreams

• Randy Pausch Lecture on Time Management

Websites

• Alba network

• myIDP career planner

We have a number of AAV vectors produced in-house.
We will soon deposit the vectors at Addgene for distribution to the research community. 

In the meantime, get in touch.

A list of single guide RNAs for targeting specific mouse genes using saCas9.

We will soon deposit the plasmids at Addgene for distribution to the research community. 

• mPFC snRNAseq 

• Hippocampus snRNAseq

• Basolateral amygdala snRNAseq

• Multi-region CamKIIa (principal) neuron bulk nuclear RNAseq

• Multi-region parvalbumin (PV) neuron bulk nuclear RNAseq

• Multi-region somatostatin (SST) neuron bulk nuclear RNAseq

• Multi-region vasoactive intestinal polypeptide (VIP) neuron bulk nuclear RNAseq

Below you can find a list of publicly shared protocols we use in our lab.

If you have questions or suggestions for improvements, get in touch.

• Our lab's GitHub page

• Data and code for recent publications