What is a natural behavior? I argue that the study of natural behaviors is often the study of the spontaneous behaviors of animals placed in quantifiably different environments. For behavioral general...

The Lyapunov spectrum of a nonlinear recurrent neural network with random asymmetric couplings is calculated in the limit $N\to\infty$. The calculation is based on a finite-$N$ identity that expresses...

A dynamical attractor computes reward prediction in the basal forebrain https://www.biorxiv.org/content/10.64898/2026.10.01.755868v1

To enhance AI safety, take a lesson from biological brains; a small set of wants maintains durable control over a much larger cognitive system.

This essay, co-authored by a historian of science and an X-ray crystallographer, sheds new light on Rosalind Franklin’s Photograph 51. We refute the infamous claim that, unlike James Watson, Franklin ...

A novel account of the explanatory role of representation in both the cognitive sciences and commonsense practice that preserves the virtues without the de

Understanding how the brain supports flexible, goal-directed behavior is a central aim of neuroscience. Yet such behavior is highly variable and unfolds over long timescales, making it challenging to ...

Phasic reward prediction signals in ventral tegmental area (VTA) dopamine (DA) neurons and basal forebrain (BF) noncholinergic bursting neurons are remarkably similar despite the distinct circuit…

Franch et al. show that human hippocampal neurons encode the meanings of the words we hear through distributed, context-sensitive population activity that mirrors some features of large language model...

Metabolic considerations for cognitive modeling - Volume 49

For nearly 150 years, textbooks have described dendritic morphology as optimized for efficient synaptic voltage transfer from spines to the soma, implemented as a tubular design respecting Rall’s 3/2 ...

Deep neural networks trained with different architectures, objectives, and datasets have been reported to converge on similar visual representations. However, what remains unknown is which visual prop...

Placing too much emphasis on a specific interpretation of dimensionality may lead neuroscience down the wrong path.

Using a combined approach of monkey electrophysiology, artificial neural networks and human psychophysics, Xue et al. show that neuronal interference from irrelevant information underlies behavioral e...

Structure your scientific research with AI-powered guidance. From hypothesis to methodology, plan your research paper with intelligent mentoring.

The study of cross-species differences in the organization of the cerebral cortex received significant attention during the past century. However, the evolutionary principles governing changes in bra...