arXiv:2603.26811v1 Announce Type: cross
Abstract: Implicit neural representations (INRs) offer continuous coordinate-based encodings for atlas registration, cross-modality resampling, sparse-view completion, and compact sharing of neuroanatomical data…
arXiv:2603.26707v1 Announce Type: new
Abstract: This paper documents and theorises a self-reinforcing dynamic between two measurable trends: the exponential expansion of large language model (LLM) context windows and the secular contraction of human s…
arXiv:2603.27410v1 Announce Type: cross
Abstract: People infer rich social information from others’ actions. These inferences are often constrained by the physical world: what agents can do, what obstacles permit, and how the physical actions of agent…
arXiv:2603.27597v1 Announce Type: new
Abstract: Recent work on artificial consciousness shifts evaluation from behaviour to internal architecture, deriving indicators from theories of consciousness and updating credences accordingly. This is progress …
arXiv:2603.27611v1 Announce Type: new
Abstract: When a cognitive system modifies its own functioning, what exactly does it modify: a low-level rule, a control rule, or the norm that evaluates its own revisions? Cognitive science describes executive co…
arXiv:2603.27716v1 Announce Type: cross
Abstract: Neuromorphic engineering has matured over the past four decades and is currently experiencing explosive growth with the potential to transform biomedical engineering and neurotechnologies. Participants…
arXiv:2603.26007v1 Announce Type: cross
Abstract: Predicting whether someone with mild cognitive impairment (MCI) will progress to Alzheimer’s disease (AD) is crucial in the early stages of neurodegeneration. This uncertainty limits enrollment in clin…
arXiv:2507.09011v2 Announce Type: replace
Abstract: A rapidly alternating red and black display known as Ganzflicker induces visual hallucinations that reflect the generative capacity of the visual system. Individuals vary in their degree of visual im…
arXiv:2603.26506v1 Announce Type: cross
Abstract: Connectivity structure shapes neural computation, but inferring this structure from population recordings is degenerate: multiple connectivity structures can generate identical dynamics. Recent work us…
arXiv:2503.14637v3 Announce Type: replace-cross
Abstract: How do humans move? Advances in reinforcement learning (RL) have produced impressive results in capturing human motion using physics-based humanoid control. However, torque-controlled humanoids…