Tag: computational neuroscience

A new computational study shows that a constrained Hebbian learning rule achieves lower representational cost than backpropagation and target propagation ...

A new computational neuroscience study proposes representing evolving brain dynamics with wave-function formalism, showing that EEG signals change in coordinated ...

A new Nature Neuroscience study shows that seemingly disordered mammalian head-direction circuits conceal the hidden circular symmetry of continuous attractor ...

A new theoretical study shows that heterogeneous, biologically realistic neural circuits implement head-direction selectivity through the same continuous attractor dynamics ...

A new review in Communications Psychology maps how engineering techniques for safe reinforcement learning and the brain's own defensive mechanisms ...

A computational study of cat primary visual cortex shows that motion direction and temporal frequency are encoded in subtle, spatially ...

A new computational study shows that the spatial reach of inhibitory synapses, through signal delays that weaken long-range connections, determines ...

Researchers generalized Taylor's law from ecology to neural data and found that a single scaling exponent tracks how synchronized brain ...

Young adults with histories of childhood interpersonal trauma show measurable shifts toward cortical excitation and attenuated inhibition, detectable with EEG ...

A biophysically constrained computational model of a lateral geniculate thalamocortical neuron reveals five distinct firing regimes and shows that the ...