Brain-inspired artificial intelligence research: A review
GY Wang, HN Bao, Q Liu, TG Zhou, S Wu… - Science China …, 2024 - Springer
Artificial intelligence (AI) systems surpass certain human intelligence abilities in a statistical
sense as a whole, but are not yet the true realization of these human intelligence abilities …
sense as a whole, but are not yet the true realization of these human intelligence abilities …
[HTML][HTML] The generative neural microdynamics of cognitive processing
DC McNamee - Current Opinion in Neurobiology, 2024 - Elsevier
The entorhinal cortex and hippocampus form a recurrent network that informs many
cognitive processes, including memory, planning, navigation, and imagination. Neural …
cognitive processes, including memory, planning, navigation, and imagination. Neural …
Firing rate adaptation affords place cell theta sweeps, phase precession, and procession
Hippocampal place cells in freely moving rodents display both theta phase precession and
procession, which is thought to play important roles in cognition, but the neural mechanism …
procession, which is thought to play important roles in cognition, but the neural mechanism …
Adaptation accelerating sampling-based bayesian inference in attractor neural networks
The brain performs probabilistic Bayesian inference to interpret the external world. The
sampling-based view assumes that the brain represents the stimulus posterior distribution …
sampling-based view assumes that the brain represents the stimulus posterior distribution …
Sequential predictive learning is a unifying theory for hippocampal representation and replay
The mammalian hippocampus contains a cognitive map that represents an animal's position
in the environment and generates offline “replay”, for the purposes of recall, planning,, and …
in the environment and generates offline “replay”, for the purposes of recall, planning,, and …
Modeling of Fuzzy Cognitive Maps with a Metaheuristics-Based Rainfall Prediction System
Rainfall prediction remains a hot research topic in smart city environments. Precise rainfall
prediction in smart cities becomes essential for planning security measures before …
prediction in smart cities becomes essential for planning security measures before …
Micro drill defect detection with hybrid BP networks, clusters selection and crossover
D Ge, R Su, X Yao, J Li - Neural Computing and Applications, 2024 - Springer
According to the solution requirements, linear BP neural networks are designed which are
consistent with the feature curves of the fitted equation, when the neural networks reach the …
consistent with the feature curves of the fitted equation, when the neural networks reach the …
AI of brain and cognitive sciences: from the perspective of first principles
L Chen, Z Chen, L Jiang, X Liu, L Xu, B Zhang… - arxiv preprint arxiv …, 2023 - arxiv.org
Nowadays, we have witnessed the great success of AI in various applications, including
image classification, game playing, protein structure analysis, language translation, and …
image classification, game playing, protein structure analysis, language translation, and …
Dynamics of Adaptive Continuous Attractor Neural Networks
Y Li, T Chu, S Wu - arxiv preprint arxiv:2410.06517, 2024 - arxiv.org
Attractor neural networks consider that neural information is stored as stationary states of a
dynamical system formed by a large number of interconnected neurons. The attractor …
dynamical system formed by a large number of interconnected neurons. The attractor …
Firing rate adaptation in continuous attractor neural networks accounts for theta phase shift of hippocampal place cells
Hippocampal place cells of freely moving animals display 'theta phase precession', whereby
spikes are fired at successively earlier phases of the 6-10 Hz local field potential (LFP) theta …
spikes are fired at successively earlier phases of the 6-10 Hz local field potential (LFP) theta …