The dendrites of neocortical pyramidal neurons are excitable. However, it is unknown how
synaptic inputs engage nonlinear dendritic mechanisms during sensory processing in vivo, …

Whilst Rahimzadeh et al.(2023) apply a critical lens to the pedagogical use of LLM bioethics
assistants, we outline here further reason for skepticism. Two features of LLM chatbots are …

The stereotyped structure of mammalian and invertebrate brains is a crucial determinant of
their circuit organization. Thus large scale efforts to map circuit organization using 3D image …

The pharmaceutical industry is rapidly adopting new and evolving applications of artificial
intelligence (AI), and so we concur with the point made by Hines et al.(Nat. Rev. Drug Discov. …

Although Stefan Harrer’s commendable contribution to the Lancet opens an important
debate about the role of Large Language Models (“LLMs”) in healthcare and medicine, 1 we …

Pre-trained on a large and diverse dataset, the segment anything model (SAM) is the first
promptable foundation model in computer vision aiming at object segmentation tasks. In this …

Large Language Models (LLMs) increasingly support applications in a wide range of
domains, some with potential high societal impact such as biomedicine, yet their reliability in …

Müllner et al.(2015) show that single inhibitory synapses placed in the right location on the
dendritic tree can exert a powerful impact on backpropagating action potentials in …

In computational histopathology algorithms now outperform humans on a range of tasks, but
to date none are employed for automated diagnoses in the clinic. Before algorithms can be …

Theoretical modelling and experiments in vitro have shown that the computations performed
by single neurons critically depend on the spatiotemporal patterns of synaptic input to the …