Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...

Abstract: In the existing research on finite-time synchronization (FTS) control for fractional-order coupled neural networks (FOCNNs), signum function plays a crucial role in controller design. The ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

In this video, we will see what is Cost Function, what are the different types of Cost Function in Neural Network, and which ...

In this video, we will see What is Activation Function in Neural network, types of Activation function in Neural Network, why ...

Abstract: The radial basis function neural network (RBFNN) is a learning model with better generalization ability, which attracts much attention in nonlinear system identification. Compared with the ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an interpretable artificial intelligence (AI) framework named Convolutional Kolmogorov ...

This valuable study uses state-of-the-art neural encoding and video reconstruction methods to achieve a substantial improvement in video reconstruction quality from mouse neural data. It provides a ...

40 26/02/2026 Thursday Class-26: Backpropagation Through Time (BPTT) T1: Section 10.3 41 2/3/2026 Monday Class-27: Bidirectional RNNs T1: Section 10.6 42 3/3/2026 Tuesday LAB 10: GANs for Image ...