Pinned Repositories
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2021
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
analysis
asympPDC
The asympPDC Package is a MATLAB and Octave package for Partial Directed Coherence (PDC) and Directed Transfer Function (DTF) estimation with asymptotic statistics, allied functions and routines for Granger Causality Test and results pretty plotting.
awesome-var
A curated list of Vector Autoregression resources.
BBCI_spiking_plasticity_model
Example code for spiking network model of bidirectional brain-computer interface (BBCI) and artificially-induced synaptic plasticity in motor cortex
bmi_python
brain_sciences_biological_computation_2022
Resources for our paper on biological detail, dynamics and spatial representations
BrainLM
BrainPy
Brain Dynamics Programming in Python
rosunaor's Repositories
rosunaor/local-linear-segmentation
This repository contains the main scripts for local linear segmentation and subsequent analysis of the resulting model space
rosunaor/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
rosunaor/playground
Play with neural networks!
rosunaor/dominant-balance
Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
rosunaor/TenSimpleRulesModeling
Code for the figures in the "Ten Simple Rules for Computational Modeling of Behavioral Data" paper.
rosunaor/EMPJ
Everything needed to replicate the figures from the paper "Engineering recurrent neural networks from task-relevant manifolds and dynamics" (Pollock and Jazayeri, 2019)
rosunaor/SWDB_2019
Repository for course materials for the Summer Workshop on the Dynamic Brain 2019
rosunaor/mbbl
rosunaor/PuttingABugInML
Code for the paper "Putting a bug in ML: The moth olfactory network learns to read MNIST", by CB Delahunt and JN Kutz
rosunaor/seq_speak
Code for Pang and Fairhall, "Fast and Flexible..." 2019.
rosunaor/SmartAsABug
Code used in the paper "Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the Manduca sexta Moth, with Applications to Neural Nets", by CB Delahunt, JA Riffell, and JN Kutz, January 2018.
rosunaor/TV-MVAR
Code Repository for Time Varying Multivariate Autoregressive (TV-MVAR) modeling
rosunaor/nftsim
C++ library for simulation of multiscale neural field dynamics
rosunaor/Jansen-Rit-model
Basic code for simulation using Jansen Rit 1-node and 2-node models
rosunaor/internal_model_estimation
Codepack accompanying "Internal models for interpreting neural population activity during sensorimotor control," by Matthew D. Golub, Byron M. Yu, and Steven M. Chase, eLife 2015.
rosunaor/pyslds
rosunaor/Neuroscience-Information-Theory-Toolbox
A MATLAB toolbox for performing information theory analyses of neuroscience data
rosunaor/vertexsimulator
Virtual Electrode Recording Tool for EXtracellular potentials: a Matlab simulator for spatially realistic LFP simulation in spiking neural networks
rosunaor/Case-Studies-Kramer-Eden
Code and data for the book "Case Studies in Neural Data Analysis"
rosunaor/BBCI_spiking_plasticity_model
Example code for spiking network model of bidirectional brain-computer interface (BBCI) and artificially-induced synaptic plasticity in motor cortex
rosunaor/variational-reformulation-of-inverse-problems
Code accompanying the paper: Variational Reformulation of Bayesian Inverse Problems, by. Tsilifis P., Bilionis I., Katsounaros I. and Zabaras N.
rosunaor/hfopt-matlab
A parallel, cpu-based matlab implemention of the Hessian Free (HF) optimization (feed forward networks, recurrent neural networks (RNN), multiplicative recurrente neural networks (MRNN)).