César F Lima,Francesca Talamini,E Glenn Schellenberg
César F Lima
Differences between musicians and nonmusicians are routinely attributed to training-induced plasticity and transfer, even though pre-existing factors provide equally plausible explanations. We propose repositioning correlational research: n...
Victoria Bosch,Rowan P Sommers,Adrien Doerig et al.
Victoria Bosch et al.
Recent studies reveal striking representational alignment between artificial neural networks (ANNs) and biological brains, leading to proposals that all sufficiently capable systems converge on universal representations of reality. We argue...
Addressing longstanding challenges in cognitive science with language models [0.03%]
语言模型在认知科学中的长期挑战应对研究
Dirk U Wulff,Rui Mata
Dirk U Wulff
Cognitive science faces ongoing challenges in research integration, formalization, conceptual clarity, and other areas, partly due to its multifaceted and interdisciplinary nature. Recent advances in artificial intelligence, particularly th...
Kelly Jaakkola,Stephanie L King,Jason N Bruck
Kelly Jaakkola
In recent years, several claims have been put forth suggesting that animals of different species address each other using receiver-specific calls that function as individual names. If accurate, this would demonstrate a capacity for symbolic...
Arshiya Aggarwal,Brent L Hughes
Arshiya Aggarwal
People change across daily situations and life transformations, yet maintain a stable sense of self. Explaining this stability requires understanding how identities, traits, values, and memories interact-what changes together, what resists ...
Roberta Bianco,Robert J Zatorre,Giacomo Novembre
Roberta Bianco
Music is pervasive across human history, cultures, and development, yet its evolutionary origins remain unresolved due to the interplay of cultural and biological influences. We argue that identifying uniquely human musicality requires cros...
Ignacio Saez
Ignacio Saez
Brain-computer interfaces (BCIs) have achieved transformative success in restoring movement and communication. However, extending these approaches to decoding or recovery of cognitive function, such as attention or memory, poses fundamental...
A decade of comparing brains to DNNs: Progress and perspectives [0.03%]
从类脑科学的角度看深度学习：过去十年的研究进展与未来展望
Lea-Maria Schmitt,Dota Tianai Dong,Emin Çelik et al.
Lea-Maria Schmitt et al.
Over the past decade, comparisons between deep neural networks (DNNs) and the human brain have become central to cognitive neuroscience. Early work focused on vision, driven by the success of convolutional neural networks in object recognit...
Lucia Melloni,Jaan Aru,Tobias Schlicht
Lucia Melloni
Is AI making us stupid? [0.03%]
人工智能在让我们变笨吗？
Trent N Cash,Megan O Kelly,Brooke N Macnamara et al.
Trent N Cash et al.
Many worry that AI use will erode human cognition. We discuss evidence suggesting that offloading cognition to AI can impede skill acquisition and lead to skill decay, but risks depend on how AI is used. We also consider whether our basic c...