A dynamic attractor network model of memory formation, reinforcement and forgetting

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A dynamic attractor network model of memory formation, reinforcement and forgetting

Chat with Graph Search

On the Perspectives of Image-to-Lidar Constraints in Dynamic Network Optimisation

Imitation Learning in Discounted Linear MDPs without exploration assumptions

Random matrix methods for high-dimensional machine learning models

Explainable modeling for wind power forecasting: A Glass-Box model with high accuracy

33.3 MiBMI: A 192/512-Channel 2.46mm² Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes

Frenet-Serret Frame-based Decomposition for Part Segmentation of 3D Curvilinear Structures

Computational design of complex protein folds and soluble analogs of membrane proteins

Safe Deep Neural Networks

A Latent Implicit 3D Shape Model for Multiple Levels of Detail

Sequential Reasoning with Socially Caused Beliefs

Subcortical correlates of consciousness with human single neuron recordings

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

A phase transition in diffusion models reveals the hierarchical nature of data

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Embedded solution to detect and classify head level objects using stereo vision for visually impaired people with audio feedback

Biophysically accurate and machine learning-based surrogate models to optimize neuroprosthesis design and operation

LIONHEART: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles

Factor-graph Optimisation with Vehicle Dynamic Models for Mapping & Sensing Applications

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Neural anticipation of virtual infection triggers an immune response