Hence, researchers often simulate the brain as a network of coupled neural masses, each described by a mean-field model. These models capture the essential features of neuronal populations while ...

在SPAIC 中，我们包含了大多数较为常见的神经元模型： V & = tua\_m * V + I \\ O & = spike\_func(V^n) 以建立一层含有100个 LIF 神经元的layer为例: self.layer1 = NeuronGroup(num=100, model='lif') 一个含有100个 ... 在稍后的 :ref:`my-custom-neuron` 这一章节中 ...

The reconstructed skeleton of a neuron can be represented by a tree structure ... Similarly, it is also hard to define the optimal skeleton of a tubular structure. In our model, the optimized skeleton ...

These are computational simplicity and the ability to produce rich firing patterns. According to Izhikeivich, the Hodgkin-Huxley model is the most biophysically accurate but difficult to simulate ...

Key cells in the brain, neurons, form networks by exchanging signals, enabling the brain to learn and adapt at incredible ...

Abstract: This paper proposes a bio-mimetic model of headdirection (HD) cells implemented on a real robot ... and the dorsal tegmental nucleus (DTN), two structures belonging to the HD cell anatomical ...