Attention mechanism in neural networks: where it comes and where it goes

D Soydaner - Neural Computing and Applications, 2022‏ - Springer
A long time ago in the machine learning literature, the idea of incorporating a mechanism
inspired by the human visual system into neural networks was introduced. This idea is …

[HTML][HTML] When brain-inspired ai meets agi

L Zhao, L Zhang, Z Wu, Y Chen, H Dai, X Yu, Z Liu… - Meta-Radiology, 2023‏ - Elsevier
Abstract Artificial General Intelligence (AGI) has been a long-standing goal of humanity, with
the aim of creating machines capable of performing any intellectual task that humans can …

[HTML][HTML] Mindfulness and behavior change

Z Schuman-Olivier, M Trombka, DA Lovas… - Harvard review of …, 2020‏ - journals.lww.com
Initiating and maintaining behavior change is key to the prevention and treatment of most
preventable chronic medical and psychiatric illnesses. The cultivation of mindfulness …

Mimicking associative learning using an ion-trap** non-volatile synaptic organic electrochemical transistor

X Ji, BD Paulsen, GKK Chik, R Wu, Y Yin… - Nature …, 2021‏ - nature.com
Associative learning, a critical learning principle to improve an individual's adaptability, has
been emulated by few organic electrochemical devices. However, complicated bias …

Research review for broad learning system: Algorithms, theory, and applications

X Gong, T Zhang, CLP Chen… - IEEE Transactions on …, 2021‏ - ieeexplore.ieee.org
In recent years, the appearance of the broad learning system (BLS) is poised to
revolutionize conventional artificial intelligence methods. It represents a step toward building …

The process definition of creativity

AE Green, RE Beaty, YN Kenett… - Creativity Research …, 2024‏ - Taylor & Francis
The “standard” definition of creativity as novel and useful describes creative products, but
creativity is constituted by processes. This misalignment contributes to the oft-noted …

Recurring the transformer for video action recognition

J Yang, X Dong, L Liu, C Zhang… - Proceedings of the …, 2022‏ - openaccess.thecvf.com
Existing video understanding approaches, such as 3D convolutional neural networks and
Transformer-Based methods, usually process the videos in a clip-wise manner. Hence huge …

Working memory, attention and their relationship: A theoretical overview

E Angelopoulou, A Drigas - Research, Society and Development, 2021‏ - rsdjournal.org
It is broadly agreed that working memory and attention constitute two significant cognitive
skills that are closely related. Their relationship has been proved to be intertwined and has …

The frontoparietal network: function, electrophysiology, and importance of individual precision map**

S Marek, NUF Dosenbach - Dialogues in clinical neuroscience, 2018‏ - Taylor & Francis
The frontoparietal network is critical for our ability to coordinate behavior in a rapid, accurate,
and flexible goal-driven manner. In this review, we outline support for the framing of the …

[HTML][HTML] Neuroscience-inspired artificial intelligence

D Hassabis, D Kumaran, C Summerfield, M Botvinick - Neuron, 2017‏ - cell.com
The fields of neuroscience and artificial intelligence (AI) have a long and intertwined history.
In more recent times, however, communication and collaboration between the two fields has …