Browse our latest Neuroscience articles

Humans estimate different forms of uncertainty during learning, but do so imprecisely, leading to the misattribution of random fluctuations as fundamental shifts.

Parasitic tapeworm larvae release glutamate and other excitatory molecules that can directly excite brain neurons.

A biphasic structural plasticity rule interacts with homeostatic synaptic scaling to maintain firing rate homeostasis in neural networks.

The neuropeptide galanin modulates whole-brain activity and stress responses in zebrafish, revealing a complex, receptor-dependent role in seizure regulation with implications for epilepsy, and related neurological disorders.

Magnetic resonance imaging, through its sensitivity to ionic environments that modulate membrane potential, enables noninvasive assessment of biological systems.

A new framework for exploring the mechanisms underlying learning in cortical microcircuits is established.

A new computational model improves estimation of Granger connectivity by removing spurious effects of external inputs, and estimation of linear encoding models by removing spurious effects of recurrent connections.

Mechanistic modeling with low-rank recurrent networks uncovers the relationship between network connectivity, neural dynamics, and selection modulation mechanisms in context-dependent computation.

Extended multi-attribute attentional drift diffusion model reveals how attentional dynamics and weight shifts lead to less healthy decisions under hunger.

A robust method to infer excitatory and inhibitory synaptic conductances from neuronal recordings reveals functional circuit organization in rhythmic networks.