- All code written in Brian is available as examples distributed with the simulator.
- Code for Active Electrode Compensation (citation: Brette et al., Neuron (2008)).
- Calibration-free electrode compensation is freely available as part of Brian 1 (Lp_compensate; code here) (citation: Rossant et al., J Neurophy (2012)).
- You will find some older code in my publications page, next to the reference of the paper.
- Un autre laboratoire est possible (CIRAD 2022)
- Why commercial publishing clashes with the intellectual ethics of research (Lyon CRNL 2020, workshop on open access)
- What is a neural representation? (Groningen 2020, keynote at the BCN Winter school)
- Coding and the Causal Structure of the Brain (Cosyne 2019)
- Theoretical neuroscience of Paramecium (Paris Computational Neuroscience conference 2019)
- Neural geometry and excitability (Collège de France 2017)
- The ecological problem of sound localization (EITN Paris 2017)
- Neural synchrony in early sensory processing (Netherlands Institute for Neuroscience 2016)
- What can be learned from a connectome? (Donders Institute 2015)
- What is the most realistic single-compartment neuron model? (Barcelona 2015)
- The compartmentalization of spike initiation (CNS Prague 2015)
- Brian 2: neural simulation in the post-connectionist era (NeuComp Grenoble 2015)
- An ecological approach to neural computation (Champalimaud Institute, Lisbon 2015)
- Dynamics of neural excitability (U. Antwerp 2014).
- Le temps dans le calcul neuronal (Collège de France 2014)
- What is the most realistic single-compartment neuron model? (EPFL 2013)
- Philosophy of the spike (CNS 2013)
- Computing with synchrony (ICoNet Freiburg 2012)
- Model-based intracellular recording (CNS Stockholm 2011); related to Rossant et al., J Neurophy (2012).
- Active electrode compensation for single-electrode intracellular recordings (EPFL 2008); related to Brette et al., Neuron (2008).
- Electrode compensation of single-electrode recordings (EPFL 2004); related to Brette et al., Neuron (2008).
- Spike-based computation (Cogmaster CA6 2013)
- Neurons II (Cogmaster CA6 2013)
- Simulating neural networks with Brian (LACONEU, Valparaiso 2014)
- Computing with spikes (AACMIP Summer school, Kiev 2013)
- Models of the auditory system (AACMIP Summer school, Kiev 2013)
By popular demand: Scilab tutorials I wrote for a course in scientific computing ("Calcul scientifique") taught by Jean Ponce at ENS.