Retuning Synaptic Dynamics Restores Memory Signals in Alzheimer’s Model
A computational model of Alzheimer's disease shows that adjusting short-term synaptic facilitation time constants can restore memory engram selectivity and ...
A computational model of Alzheimer's disease shows that adjusting short-term synaptic facilitation time constants can restore memory engram selectivity and ...
A review of 16 years of The Brain Prize maps five interacting modes and three trajectories through which modern neuroscience ...
Researchers have built a computational model based on stochastic optimal control that reproduces how human movements bend around obstacles while ...
After removing hidden-neuron permutations and ReLU rescaling freedoms, independently trained networks fell into reproducible task-dependent weight clusters, with dataset-specific structure ...
Evolutionary and computational models suggest that higher BK potassium-channel conductance may ease calcium-dependent activation limits and improve the precision of ...
Adding biologically grounded inhibitory connections to a spiking neural network model of decision making improved its ability to predict human ...
A new collection of five computational neuroscience studies argues that cognition emerges from processes spanning single neurons to whole brain ...
A new study shows that Dale's principle and modular connectivity boost the computational performance of recurrent neural networks, while Hopfield-style ...
A new computational neuroscience study shows that biologically constrained Hebbian learning can build useful visual representations without exact weight sharing, ...
Researchers have built and validated a new general-purpose biophysical model of hippocampal CA1 pyramidal neurons that captures a wide range ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine