Tag: computational neuroscience

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 ...

A conductance-based computer model of the Parkinsonian brain circuit shows that deep brain stimulation and rhythmic visual input reshape network ...

A new perspective in Frontiers in Computational Neuroscience maps the emerging computational models of activity-dependent myelination, showing how oligodendrocytes tune ...

A hybrid CNN-BiLSTM model with multi-head self-attention classifies five EEG brain states, including seizures, with 98.83 percent accuracy on a ...

A new approximate matrix exponential method simulates Markov kinetic models of ion channels an order of magnitude faster and more ...