briandepasquale

AdvancedMH.jl

A Julia library for random-walk Metropolis-Hastings algorithms

briandepasquale.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

DePasquale_Brian-CV

factor-based-spiking-nets

full-FORCE-demos

Simulations illustrating the results of full-FORCE.

spytorch-flux.jl

Translation of surrogate gradient methods for spiking networks using Flux.jl

supervised_learning_recurrent_spiking_networks

Demonstrations of supervised learning using RLS in recurrent spiking networks

VAE

Some experiments with VAEs and tensorflow in Julia

PulseInputDDM.jl

A Julia library for fitting DDMs to pulse-based evidence accumulations task data

StateSpaceDynamics.jl

Julia library for fitting and analyzing state space models. Provides efficient implementations of various SSMs including the canonical Gaussian LDS (Kalman Filter/Smoother), Poisson LDS, HMMs, etc.

briandepasquale/full-FORCE-demos

Simulations illustrating the results of full-FORCE.

briandepasquale/factor-based-spiking-nets

briandepasquale/supervised_learning_recurrent_spiking_networks

Demonstrations of supervised learning using RLS in recurrent spiking networks

briandepasquale/VAE

Some experiments with VAEs and tensorflow in Julia

briandepasquale/spytorch-flux.jl

Translation of surrogate gradient methods for spiking networks using Flux.jl

briandepasquale/AdvancedMH.jl

A Julia library for random-walk Metropolis-Hastings algorithms

briandepasquale/briandepasquale.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

briandepasquale/DePasquale_Brian-CV

briandepasquale/ForwardDiff.jl

Forward Mode Automatic Differentiation for Julia

briandepasquale/neu314

briandepasquale/EK121

briandepasquale/variational_spiking_networks

briandepasquale/vind

Tensorflow Implementation of VIND