Computational Model Explains Brain Wave Coupling in Parkinson’s Disease
A computational model of the subthalamic nucleus reveals that synchronized bursting among excitatory neurons drives pathological phase-amplitude coupling in Parkinson's ...
Tag: Computational neuroscience
What Speech AI Sees in the Brain: Interpretable Features Explain Audio Model Success
Researchers show that interpretable speech features largely account for how well audio foundation models predict brain responses, while also revealing ...
Brain Networks May Sit at a Critical Edge That Shapes Thought, Seizures and Consciousness
An editorial in Frontiers in Computational Neuroscience gathers eight studies arguing that neural systems operate near a critical state between ...
Neurons with identical firing patterns can fail differently under stress
A computational study shows that distinct ion-channel configurations producing the same neuronal activity regimes differ sharply in how much ionic ...
AI Memory Survives Unit Turnover via Triple-Loop Consolidation
A backpropagation-free Deep Memory mechanism preserves representations in dissipative AI architectures by recording centroids, seeding replaced units and stabilizing through ...
Atomoxetine’s Brain Effects Recreated by a Single Molecular Dial in Whole-Brain Model
A multi-receptor whole-brain model traces atomoxetine's stabilizing effect on brain dynamics to receptor binding affinities expressed along a frontal chemoarchitectural ...
Short Excitatory Connections Turn Wiring Constraints Into Bursting, Modular Brain-Like Dynamics
Simulations show that short, distance-dependent excitatory connections amplify shared inputs, drive burst propagation, and generate modular functional organization without built-in ...
Simulated Brain Model Links Stress to Negative Thinking Patterns in Depression Symptoms
A simulation-based study presents a nonlinear state-space model linking stress, negative cognitive bias and multivariate EEG and ERP signals, reporting ...
Neural Field Model Fitting Suggests Reduced Corticothalamic Integrity in Disorders of Consciousness
A multicentre study fitted individualised corticothalamic neural field models to EEG from 547 participants, showing reduced corticothalamic integrity in unresponsive ...
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 ...
Computational model shows how the brain dodges obstacles while reaching for goals
Researchers have built a computational model based on stochastic optimal control that reproduces how human movements bend around obstacles while ...
BK Channel Models Link Higher Conductance to Precise Neuronal Spike Timing
Evolutionary and computational models suggest that higher BK potassium-channel conductance may ease calcium-dependent activation limits and improve the precision of ...
Neural Inhibition Helps Spiking Brain Models Choose Like Humans Do
Adding biologically grounded inhibitory connections to a spiking neural network model of decision making improved its ability to predict human ...
How the Brain Builds Cognition: Five Computational Studies Trace Mind From Neurons to Networks
A new collection of five computational neuroscience studies argues that cognition emerges from processes spanning single neurons to whole brain ...
When Neural Networks Learn Like Brains: Locality Beats Weight Sharing in Hebbian Vision Models
A new computational neuroscience study shows that biologically constrained Hebbian learning can build useful visual representations without exact weight sharing, ...
How to train your neuron: building a detailed, up-to-date, multipurpose model of hippocampal CA1 pyramidal cells
Researchers have built and validated a new general-purpose biophysical model of hippocampal CA1 pyramidal neurons that captures a wide range ...
Virtual Brain Testbed Pits Deep Brain Stimulation Against Rhythmic Light in Parkinson’s Disease
A conductance-based computer model of the Parkinsonian brain circuit shows that deep brain stimulation and rhythmic visual input reshape network ...
A computational roadmap to activity-dependent myelination
A new perspective in Frontiers in Computational Neuroscience maps the emerging computational models of activity-dependent myelination, showing how oligodendrocytes tune ...
Attention-Powered AI Reads Brain Waves to Spot Seizures With 98.8% Accuracy
A hybrid CNN-BiLSTM model with multi-head self-attention classifies five EEG brain states, including seizures, with 98.83 percent accuracy on a ...
New Approximate Matrix Exponential Solver Speeds Up Ion Channel Simulations in Brain Models
A new approximate matrix exponential method simulates Markov kinetic models of ion channels an order of magnitude faster and more ...
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