259 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Unit of Neuroscience Information and ComplexityFR7 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- KTH Royal Institute of TechnologySE2 papers
- Technische Universität DresdenDE2 papers
- Centre for Tactile Internet with Human-in-the-LoopDE1 paper
- Département d'InformatiqueFR1 paper
- Deutsche Telekom (Slovakia)SK1 paper
- École Normale Supérieure - PSLFR1 paper
- ESPCI ParisFR1 paper
- Heidelberg UniversityDE1 paper
- InsermFR1 paper
- Institut de la VisionFR1 paper
9 papers
Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing
Jens E. Pedersen, Steven Abreu, Matthias Jobst +12
Spiking neural networks and neuromorphic hardware platforms that simulate neuronal dynamics are getting wide attention and are being applied to many relevant problems using Machine…
Holographic laser Doppler imaging of microvascular blood flow
C. Magnain, A. Castel, T. Boucneau +7
We report on local superficial blood flow monitoring in biological tissue from laser Doppler holographic imaging. In time averaging recording conditions, holography acts as a narro…
Generalized cable formalism to calculate the magnetic field of single neurons and neuronal populations
Claude Bedard, Alain Destexhe
Neurons generate magnetic fields which can be recorded with macroscopic techniques such as magneto-encephalography. The theory that accounts for the genesis of neuronal magnetic fi…
Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms
Mihai A. Petrovici, Bernhard Vogginger, Paul Müller +9
Advancing the size and complexity of neural network models leads to an ever increasing demand for computational resources for their simulation. Neuromorphic devices offer a number…
Prediction of spatio-temporal patterns of neural activity from pairwise correlations
Olivier Marre, Sami El Boustani, Yves Fregnac +1
We designed a model-based analysis to predict the occurrence of population patterns in distributed spiking activity. Using a maximum entropy principle with a Markovian assumption,…
Self-sustained asynchronous irregular states and Up/Down states in thalamic, cortical and thalamocortical networks of nonlinear integrate-and-fire neurons
Alain Destexhe
Randomly-connected networks of integrate-and-fire (IF) neurons are known to display asynchronous irregular (AI) activity states, which resemble the discharge activity recorded in t…
Macroscopic models of local field potentials and the apparent 1/f noise in brain activity
Claude Bedard, Alain Destexhe
The power spectrum of local field potentials (LFPs) has been reported to scale as the inverse of the frequency, but the origin of this "1/f noise" is at present unclear. Macroscopi…
Extracting synaptic conductances from single membrane potential traces
Martin Pospischil, Zuzanna Piwkowska, Thierry Bal +1
In awake animals, the activity of the cerebral cortex is highly complex, with neurons firing irregularly with apparent Poisson statistics. One way to characterize this complexity i…
A modified cable formalism for modeling neuronal membranes at high frequencies
Claude Bedard, Alain Destexhe
Intracellular recordings of cortical neurons in vivo display intense subthreshold membrane potential (Vm) activity. The power spectral density (PSD) of the Vm displays a power-law…