Pinned Repositories
A-discrete-model-of-epithelial-spreading
A-simple-liquid-state-machine-using-tensorflow
We utilize tensorflow to create a simple liquid state machine (reservoir) composed of Izhikevich neurons. There are 20% inhibitory neurons and 80% excitatory neurons in the reservoir.
CPP-example-of-vector-and-matrix-class
Construction of C++ vector and matrix class. The code is mainly from the textbook.
Expression-velocity-network
We employ RNA velocity to construct a gene expression-velocity network. It supplies dynamical gene information compared with the conventional gene co-expression network.
Formation-of-working-memory-in-a-spiking-neuron-network-accompanied-by-astrocytes
We reproduced some of the results from the paper Formation of working memory in a spiking neuron network accompanied by astrocytes
Impact-of-astrocytic-coverage-of-synapses-and-spatial-frequencies-on-the-working-memory
NeuralCDE
Pedestrian-behaviors
Performance-of-FlowSOM-with-different-arcsinh-normalizing-parameters
The code compares the performance of R package FlowSOM with different arcsinh normalizing parameters on 4 canonical datasets.
Sensors-Associative-Learning-Reinforcement-Effect-and-Forced-Dissociation
zonglunli7515's Repositories
zonglunli7515/NeuralCDE
zonglunli7515/zonglunli7515.github.io
zonglunli7515/Impact-of-astrocytic-coverage-of-synapses-and-spatial-frequencies-on-the-working-memory
zonglunli7515/Sensors-Associative-Learning-Reinforcement-Effect-and-Forced-Dissociation
zonglunli7515/Pedestrian-behaviors
zonglunli7515/Formation-of-working-memory-in-a-spiking-neuron-network-accompanied-by-astrocytes
We reproduced some of the results from the paper Formation of working memory in a spiking neuron network accompanied by astrocytes
zonglunli7515/A-discrete-model-of-epithelial-spreading
zonglunli7515/Volterra-model-for-the-population-growth-in-a-closed-system
Here is an example of animation for Volterra population model in a closed system with the spatial variation term.
zonglunli7515/CPP-example-of-vector-and-matrix-class
Construction of C++ vector and matrix class. The code is mainly from the textbook.
zonglunli7515/A-simple-liquid-state-machine-using-tensorflow
We utilize tensorflow to create a simple liquid state machine (reservoir) composed of Izhikevich neurons. There are 20% inhibitory neurons and 80% excitatory neurons in the reservoir.
zonglunli7515/Expression-velocity-network
We employ RNA velocity to construct a gene expression-velocity network. It supplies dynamical gene information compared with the conventional gene co-expression network.
zonglunli7515/Performance-of-FlowSOM-with-different-arcsinh-normalizing-parameters
The code compares the performance of R package FlowSOM with different arcsinh normalizing parameters on 4 canonical datasets.