Tag: computational neuroscience

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 ...

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 ...