AI Medical Compendium Journal:
Trends in cognitive sciences

Showing 11 to 20 of 47 articles

Generating meaning: active inference and the scope and limits of passive AI.

Trends in cognitive sciences
Prominent accounts of sentient behavior depict brains as generative models of organismic interaction with the world, evincing intriguing similarities with current advances in generative artificial intelligence (AI). However, because they contend with...

Intellectual cyborgs and the future of science.

Trends in cognitive sciences
Unlike classical artificial intelligence (AI), generative AI has the potential to transform scientists into intellectual cyborgs. Leveraging embodied cognition and extended mind theories can help us understand this scientific revolution. Despite ethi...

Unveiling the benefits of multitasking in disentangled representation formation.

Trends in cognitive sciences
Johnston and Fusi recently investigated the emergence of disentangled representations when a neural network was trained to perform multiple simultaneous tasks. Such experiments explore the benefits of flexible representations and add to a growing fie...

Comparing representations and computations in single neurons versus neural networks.

Trends in cognitive sciences
Single-neuron-level explanations have been the gold standard in neuroscience for decades. Recently, however, neural-network-level explanations have become increasingly popular. This increase in popularity is driven by the fact that the analysis of ne...

Goals, usefulness and abstraction in value-based choice.

Trends in cognitive sciences
Colombian drug lord Pablo Escobar, while on the run, purportedly burned two million dollars in banknotes to keep his daughter warm. A stark reminder that, in life, circumstances and goals can quickly change, forcing us to reassess and modify our valu...

Capturing advanced human cognitive abilities with deep neural networks.

Trends in cognitive sciences
How can artificial neural networks capture the advanced cognitive abilities of pioneering scientists? I suggest they must learn to exploit human-invented tools of thought and human-like ways of using them, and must engage in explicit goal-directed pr...

Episodes of experience and generative intelligence.

Trends in cognitive sciences
How do humans, including toddlers, take knowledge from past experiences and apply this knowledge in new ways? Current approaches to human and artificial intelligence (AI) fail to offer satisfactory explanations. We suggest the explanation will be fou...

Degrees of algorithmic equivalence between the brain and its DNN models.

Trends in cognitive sciences
Deep neural networks (DNNs) have become powerful and increasingly ubiquitous tools to model human cognition, and often produce similar behaviors. For example, with their hierarchical, brain-inspired organization of computations, DNNs apparently categ...

Reconstructing the predictive architecture of the mind and brain.

Trends in cognitive sciences
Predictive processing has become an influential framework in cognitive neuroscience. However, it often lacks specificity and direct empirical support. How can we probe the nature and limits of the predictive brain? We highlight the potential of recen...