Dark matter is an elusive type of matter that does not emit, absorb or reflect light, interacting very weakly with ordinary ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

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

So far we’ve only looked at action-value methods which learn values of individual actions and derive a policy from them This includes methods like SARSA, Q-Learning, DQN The policies of these methods ...

Based on my master's thesis on synchronization of two coupled 5D Hindmarsh-Rose neurons. Using port-Hamiltonian Physics Informed Neural Network (pH-PINN) to predict Hamiltonian energy of ...

Abstract: The demand for explainability in complex machine learning (ML) models is ever more pressing, particularly within safety-critical domains like autonomous driving. The Integrated Gradient (IG) ...

In this paper, the optimal control problem of parabolic integro-differential equations is solved by gradient recovery based two-grid finite element method. Piecewise linear functions are used to ...